<![CDATA[Unlocked Professional: AI and the Future of Hiring]]>How great leaders hire, build, and keep teams, and which AI tools will actually help.

Most companies are stuck in "experimentation theater". Buying AI tools that go nowhere while their teams are exhausted by the hype. Welcome to The Unlocked Professional, where we stop playing with AI and start running it like a business operation.

Hosted by Jeff Midland, we interview the visionaries from Chief AI Officers to Workforce Futurists. We give you the "Cheat Code" for staying relevant. Learn to move from being just a worker to an Architect of the future. We dive deep into Human-Centric AI, Agentic workflows, and the ADOPT method to ensure you remain irreplaceable. Stop the social grinding and start building a real strategy that works with AI, not against it.

]]>https://www.unlockedpro.comRiverside.fm (https://riverside.com)Mon, 02 Nov 2026 19:30:49 GMTWed, 18 Mar 2026 17:31:07 GMT60Jeff Midland | AI & Future of Work Enthusiast<p>How great leaders hire, build, and keep teams, and which AI tools will actually help.<br /><br />Most companies are stuck in "experimentation theater". Buying AI tools that go nowhere while their teams are exhausted by the hype. Welcome to <b><strong>The Unlocked Professional</strong></b>, where we stop playing with AI and start running it like a business operation.</p><p>Hosted by <b><strong>Jeff Midland</strong></b>, we interview the visionaries from Chief AI Officers to Workforce Futurists. We give you the "Cheat Code" for staying relevant. Learn to move from being just a worker to an <b><strong>Architect</strong></b> of the future. We dive deep into Human-Centric AI, Agentic workflows, and the ADOPT method to ensure you remain irreplaceable. Stop the social grinding and start building a real strategy that works with AI, not against it.</p>episodicJeff Midland | AI & Future of Work Enthusiastpurchasing@carmelpointegroup.comno<![CDATA[Turning Relationships Into Filled Reqs With Artificial Intelligence | Harrison Franke]]>Most agency recruiters spend the week on candidate calls, then panic prospect on Friday. In this episode, we sit down with Harrison Franke, co-founder and CEO of Recruitcha and Recruit GTM. Harrison explains how Recruitcha reads public hiring signals and pooled team networks to rank who to contact first. He also shares why he believes recruiters stay central when AI is only as good as the data behind it. Learn how better timing and cleaner data help recruiters reach the hiring manager most likely to respond.


Key Topics

Why business development is harder than sourcing for agencies

Go-to-market engineering for recruiters

Using hiring signals to rank outreach opportunities

Why older job postings make a better outreach window

Pooled networks and warm intro paths

Why AI can't replace recruiter judgment


Episode Timestamps

00:00 Introduction to Harrison Franke and the recruiter BD hamster wheel

00:58 Harrison's background in South Africa and early interest in building things

03:51 The real cost of running recruiting and BD at the same time

07:33 Why they pivoted from sourcing to business development

10:48 What go-to-market engineering means for recruiting

12:17 How the platform ranks hiring opportunities by signal strength

15:10 Judging opportunity quality, niche fit, and company signals

18:27 Early traction with 27 agencies and the time it saved

19:27 Why older job postings are often the best outreach window

20:54 Pooled networks and team-level warm intro paths

22:11 Why Recruitcha avoids LinkedIn automation

23:11 What testing different BD channels taught them

25:04 Integrations with CRM and sequencing tools

27:25 Why relevance beats creepy multi-platform outreach

29:17 Why AI can't replace recruiter judgment

32:37 What job data shows about role consolidation and AI-era hiring

34:03 How they test whether candidates can actually use AI tools

36:25 Why existing networks matter more once they're easier to use

37:33 Recruiters as the human filter in the AI era

39:26 The time audit that helped the agency build systems

41:08 Where to connect with Harrison and learn more about his work


Guest Links

Website: https://www.recruitcha.ai

LinkedIn: https://www.linkedin.com/in/harrison-franke/


Keywords: Recruitment Agency, Recruiter Business Development, Go-To-Market Engineering, Hiring Signals, AI in Recruiting, Recruiting Technology, Warm Outreach, Pooled Networks, Recruitcha, Recruit GTM, Future of Hiring, Harrison Franke


]]>46de3b96-08ca-4e7f-8e39-d5d46cd41805Wed, 28 Oct 2026 12:00:00 GMT<p>Most agency recruiters spend the week on candidate calls, then panic prospect on Friday. In this episode, we sit down with Harrison Franke, co-founder and CEO of Recruitcha and Recruit GTM. Harrison explains how Recruitcha reads public hiring signals and pooled team networks to rank who to contact first. He also shares why he believes recruiters stay central when AI is only as good as the data behind it. Learn how better timing and cleaner data help recruiters reach the hiring manager most likely to respond.</p><p><br /></p><p><b><strong>Key Topics</strong></b></p><p>Why business development is harder than sourcing for agencies</p><p>Go-to-market engineering for recruiters</p><p>Using hiring signals to rank outreach opportunities</p><p>Why older job postings make a better outreach window</p><p>Pooled networks and warm intro paths</p><p>Why AI can't replace recruiter judgment</p><p><br /></p><p><b><strong>Episode Timestamps</strong></b></p><p>00:00 Introduction to Harrison Franke and the recruiter BD hamster wheel</p><p>00:58 Harrison's background in South Africa and early interest in building things</p><p>03:51 The real cost of running recruiting and BD at the same time</p><p>07:33 Why they pivoted from sourcing to business development</p><p>10:48 What go-to-market engineering means for recruiting</p><p>12:17 How the platform ranks hiring opportunities by signal strength</p><p>15:10 Judging opportunity quality, niche fit, and company signals</p><p>18:27 Early traction with 27 agencies and the time it saved</p><p>19:27 Why older job postings are often the best outreach window</p><p>20:54 Pooled networks and team-level warm intro paths</p><p>22:11 Why Recruitcha avoids LinkedIn automation</p><p>23:11 What testing different BD channels taught them</p><p>25:04 Integrations with CRM and sequencing tools</p><p>27:25 Why relevance beats creepy multi-platform outreach</p><p>29:17 Why AI can't replace recruiter judgment</p><p>32:37 What job data shows about role consolidation and AI-era hiring</p><p>34:03 How they test whether candidates can actually use AI tools</p><p>36:25 Why existing networks matter more once they're easier to use</p><p>37:33 Recruiters as the human filter in the AI era</p><p>39:26 The time audit that helped the agency build systems</p><p>41:08 Where to connect with Harrison and learn more about his work</p><p><br /></p><p><b><strong>Guest Links</strong></b></p><p>Website: <a href="https://www.recruitcha.ai" rel="noopener noreferrer nofollow">https://www.recruitcha.ai</a></p><p>LinkedIn: <a href="https://www.linkedin.com/in/harrison-franke/" rel="noopener noreferrer nofollow">https://www.linkedin.com/in/harrison-franke/</a></p><p><br /></p><p><b><strong>Keywords</strong></b>: Recruitment Agency, Recruiter Business Development, Go-To-Market Engineering, Hiring Signals, AI in Recruiting, Recruiting Technology, Warm Outreach, Pooled Networks, Recruitcha, Recruit GTM, Future of Hiring, Harrison Franke</p><p><br /></p>no00:43:4530Turning Relationships Into Filled Reqs With Artificial Intelligence | Harrison Frankefull<![CDATA[What a Talent Engineer at Zapier Builds Instead of Another AI Sourcing Tool | Dan McCarthy]]>Most AI recruiting tools get built the wrong way, and the fix starts with thinking like an engineer. In this episode, we sit down with Dan McCarthy, senior talent engineer at Zapier and builder of Shopify's talent engineering function. Dan shares how a path through jazz, bartending, and CrossFit shaped his approach to talent engineering, internal tooling, AI screening, and talent intelligence. Discover when a recruiting tool is worth building, how to count its true cost, and why learning speed may matter more than a resume.


Key Topics

Nonlinear career paths as an edge in AI-driven recruiting

What a talent engineer does at Shopify and Zapier

The hidden costs of building internal recruiting tools

Building a talent intelligence MCP from public data sources

How AI screening can expand candidate signal

Why resumes may matter less than learning speed


Episode Timestamps

00:00 Introduction to Dan McCarthy and why most AI recruiting tools are built the wrong way

00:53 Dan's path from jazz vibraphonist in Toronto to talent engineer

03:05 The books that shaped Dan's thinking and how Range reframed imposter syndrome

04:42 Why cross-pollinating skills matters in HR and recruiting

07:27 What a talent engineer does and Shopify's Life Story interview

09:19 Learning from a culture that encourages experimentation

10:10 From CrossFit gym owner to teaching himself front-end development and SQL

12:57 Why nontraditional practitioners are changing talent work

14:09 Dan's day-to-day at Zapier, from small utility builds to greenfield projects

16:10 Thinking like an engineer and why most builds fail the maintenance test

20:27 Running the numbers on total cost of ownership

22:26 When a sourcing tool is worth building and where surgical tools make sense

24:02 The false confidence of easy AI apps and why tech should free up candidate time

26:52 How Dan built the talent intelligence MCP from structured data sources

29:35 Using the system for dashboards, Q&A, skills, and intake briefs

31:40 Using data to improve closing calls and candidate conversations

34:21 Why resumes are losing value and learning speed matters more

37:33 Shopify's seven out of ten idea and why thinking outlasts tool familiarity

40:31 How AI screening expands signal and what a 15-minute conversation reveals

43:03 Rethinking interview design and the fear versus opportunity of AI screening

47:48 Hiring without resumes, senior roles, and reducing application friction

53:38 Where to connect with Dan and learn more about his work


Guest Links

LinkedIn: https://www.linkedin.com/in/iamdanmccarthy/


Keywords: AI Recruiting, Talent Engineering, Talent Acquisition, Recruiting Operations, Talent Intelligence, AI Screening, Skills-Based Hiring, Learning Agility, Future of Work, Zapier, Shopify, Dan McCarthy


]]>7d16a2dc-a07b-4289-a799-89669a4fb2a2Wed, 21 Oct 2026 12:00:00 GMT<p>Most AI recruiting tools get built the wrong way, and the fix starts with thinking like an engineer. In this episode, we sit down with Dan McCarthy, senior talent engineer at Zapier and builder of Shopify's talent engineering function. Dan shares how a path through jazz, bartending, and CrossFit shaped his approach to talent engineering, internal tooling, AI screening, and talent intelligence. Discover when a recruiting tool is worth building, how to count its true cost, and why learning speed may matter more than a resume.</p><p><br /></p><p><b><strong>Key Topics</strong></b></p><p>Nonlinear career paths as an edge in AI-driven recruiting</p><p>What a talent engineer does at Shopify and Zapier</p><p>The hidden costs of building internal recruiting tools</p><p>Building a talent intelligence MCP from public data sources</p><p>How AI screening can expand candidate signal</p><p>Why resumes may matter less than learning speed</p><p><br /></p><p><b><strong>Episode Timestamps</strong></b></p><p>00:00 Introduction to Dan McCarthy and why most AI recruiting tools are built the wrong way</p><p>00:53 Dan's path from jazz vibraphonist in Toronto to talent engineer</p><p>03:05 The books that shaped Dan's thinking and how Range reframed imposter syndrome</p><p>04:42 Why cross-pollinating skills matters in HR and recruiting</p><p>07:27 What a talent engineer does and Shopify's Life Story interview</p><p>09:19 Learning from a culture that encourages experimentation</p><p>10:10 From CrossFit gym owner to teaching himself front-end development and SQL</p><p>12:57 Why nontraditional practitioners are changing talent work</p><p>14:09 Dan's day-to-day at Zapier, from small utility builds to greenfield projects</p><p>16:10 Thinking like an engineer and why most builds fail the maintenance test</p><p>20:27 Running the numbers on total cost of ownership</p><p>22:26 When a sourcing tool is worth building and where surgical tools make sense</p><p>24:02 The false confidence of easy AI apps and why tech should free up candidate time</p><p>26:52 How Dan built the talent intelligence MCP from structured data sources</p><p>29:35 Using the system for dashboards, Q&amp;A, skills, and intake briefs</p><p>31:40 Using data to improve closing calls and candidate conversations</p><p>34:21 Why resumes are losing value and learning speed matters more</p><p>37:33 Shopify's seven out of ten idea and why thinking outlasts tool familiarity</p><p>40:31 How AI screening expands signal and what a 15-minute conversation reveals</p><p>43:03 Rethinking interview design and the fear versus opportunity of AI screening</p><p>47:48 Hiring without resumes, senior roles, and reducing application friction</p><p>53:38 Where to connect with Dan and learn more about his work</p><p><br /></p><p><b><strong>Guest Links</strong></b></p><p>LinkedIn: <a href="https://www.linkedin.com/in/iamdanmccarthy/" rel="noopener noreferrer nofollow">https://www.linkedin.com/in/iamdanmccarthy/</a></p><p><br /></p><p><b><strong>Keywords: </strong></b>AI Recruiting, Talent Engineering, Talent Acquisition, Recruiting Operations, Talent Intelligence, AI Screening, Skills-Based Hiring, Learning Agility, Future of Work, Zapier, Shopify, Dan McCarthy</p><p><br /></p>no00:56:4129What a Talent Engineer at Zapier Builds Instead of Another AI Sourcing Tool | Dan McCarthyfull<![CDATA[He Built a Text Message Hiring Tool That Cut Hiring From 17 Days to 48 Hours | Jonathan Duarte]]>Resumes used to tell recruiters who was worth calling, but AI has made them an unreliable signal. In this episode, we sit down with Jonathan Duarte, founder of GoHire and a 33-year HR technology veteran who helped build one of the first job boards. Jonathan shares his expertise on frontline hiring, text-based screening, SMS compliance, and the risks of opaque AI matching tools. Learn why recruiting leaders may need to add friction back into hiring to protect quality and compliance.


Key Topics

Why AI-written resumes undermined traditional screening

Text-based screening and self-scheduling for frontline hiring

The legal, bias, and compliance risks of AI hiring tools

Skill validation and the return of friction in future hiring


Episode Timestamps

00:00 Introduction to Jonathan Duarte and why AI resumes broke traditional recruiting

00:28 From AOL discs and early job boards to conversational AI in regulated enterprises

02:18 Jonathan's lifelong focus on process automation and lessons from Gateway 2000

05:38 Systems thinking, automation vs. AI, and why outputs must be defined

07:20 Moving to Tahoe and rebuilding life around movement

12:03 Referral hires vs. job boards

13:50 Selling the job distribution platform and seeing the recession coming

16:08 Why recruiting is an early economic signal

17:36 Why Jonathan stepped away and what happened next

18:30 Innovation in the AI era and why HR remains a people-centered field

20:22 What GoHire does for frontline hiring

22:42 Why many candidates respond and interview after work hours

23:38 Cutting time to fill from 14 days to 24–48 hours

26:26 Engaging career-site visitors more effectively

27:56 Why candidate data belongs to the client

30:08 Why SMS is more complex than simply sending a text

33:32 The risks of AI resume matching and the need for governance and validation

37:27 Where friction may return and how to right-size AI pre-screens

43:11 Human verification and skill validation

45:06 A four-level AI skills rubric

47:29 How roles are being redefined and why job seekers need a new strategy


Guest Links

Company Website: https://gohire.com/author-jduarte/

Personal Website: https://jonathanduarte.com/

LinkedIn: https://www.linkedin.com/in/bestlinkedinprofile/


Keywords: AI in Recruiting, Talent Acquisition, HR Technology, AI-Generated Resumes, Frontline Hiring, Text Recruiting, SMS Compliance, AI Governance, Skills-Based Hiring, Future of Work, GoHire, Jonathan Duarte

]]>3e57287e-6fdf-4e82-a393-a62f08a1716dWed, 14 Oct 2026 12:00:00 GMT<p>Resumes used to tell recruiters who was worth calling, but AI has made them an unreliable signal. In this episode, we sit down with Jonathan Duarte, founder of GoHire and a 33-year HR technology veteran who helped build one of the first job boards. Jonathan shares his expertise on frontline hiring, text-based screening, SMS compliance, and the risks of opaque AI matching tools. Learn why recruiting leaders may need to add friction back into hiring to protect quality and compliance.</p><p><br /></p><p><b><strong>Key Topics</strong></b></p><p>Why AI-written resumes undermined traditional screening</p><p>Text-based screening and self-scheduling for frontline hiring</p><p>The legal, bias, and compliance risks of AI hiring tools</p><p>Skill validation and the return of friction in future hiring</p><p><br /></p><p><b><strong>Episode Timestamps</strong></b></p><p>00:00 Introduction to Jonathan Duarte and why AI resumes broke traditional recruiting</p><p>00:28 From AOL discs and early job boards to conversational AI in regulated enterprises</p><p>02:18 Jonathan's lifelong focus on process automation and lessons from Gateway 2000</p><p>05:38 Systems thinking, automation vs. AI, and why outputs must be defined</p><p>07:20 Moving to Tahoe and rebuilding life around movement</p><p>12:03 Referral hires vs. job boards</p><p>13:50 Selling the job distribution platform and seeing the recession coming</p><p>16:08 Why recruiting is an early economic signal</p><p>17:36 Why Jonathan stepped away and what happened next</p><p>18:30 Innovation in the AI era and why HR remains a people-centered field</p><p>20:22 What GoHire does for frontline hiring</p><p>22:42 Why many candidates respond and interview after work hours</p><p>23:38 Cutting time to fill from 14 days to 24–48 hours</p><p>26:26 Engaging career-site visitors more effectively</p><p>27:56 Why candidate data belongs to the client</p><p>30:08 Why SMS is more complex than simply sending a text</p><p>33:32 The risks of AI resume matching and the need for governance and validation</p><p>37:27 Where friction may return and how to right-size AI pre-screens</p><p>43:11 Human verification and skill validation</p><p>45:06 A four-level AI skills rubric</p><p>47:29 How roles are being redefined and why job seekers need a new strategy</p><p><br /></p><p><b><strong>Guest Links</strong></b></p><p>Company Website: <a href="https://gohire.com/author-jduarte/" rel="noopener noreferrer nofollow">https://gohire.com/author-jduarte/</a></p><p>Personal Website: <a href="https://jonathanduarte.com/" rel="noopener noreferrer nofollow">https://jonathanduarte.com/</a></p><p>LinkedIn: <a href="https://www.linkedin.com/in/bestlinkedinprofile/?isSelfProfile=false" rel="noopener noreferrer nofollow">https://www.linkedin.com/in/bestlinkedinprofile/</a></p><p><br /></p><p><b><strong>Keywords: </strong></b>AI in Recruiting, Talent Acquisition, HR Technology, AI-Generated Resumes, Frontline Hiring, Text Recruiting, SMS Compliance, AI Governance, Skills-Based Hiring, Future of Work, GoHire, Jonathan Duarte</p>no00:51:5828He Built a Text Message Hiring Tool That Cut Hiring From 17 Days to 48 Hours | Jonathan Duartefull<![CDATA[Most CEOs Know Less About Their Employees Than LinkedIn Does | Jason Averbook]]>AI won't replace people, but it will replace the jobs and workflows we know today. In this episode, we sit down with Jason Averbook, a longtime HR technology leader and the entrepreneur behind the voice AI platform Savo. Jason shares his expertise on employee listening, durable skills, workforce planning, and the real barriers to AI adoption. Discover why 1990s processes won't survive in 2026 and how to own your relevance in an always-on era of change.


Key Topics

Why AI will replace jobs, not people

Listening and other durable skills in an AI-first world

Using voice AI to replace broken employee surveys

Redesigning outdated processes, hiring, and workforce planning


Episode Timestamps

00:00 Introduction to Jason Averbook and why the AI adoption question is wrong

02:19 Jason's early lessons from a teacher mom, a sales-driven dad, and tech tinkering

03:33 Managing hotels, experience design, and listening as a durable skill

04:59 Why the Bay Area still matters as a hub for innovation

06:29 What Leapgen stood for and why energy, audacity, and proof matter

07:53 Quitting at 23 and the cost of burning bridges

09:22 How AI makes it easier to pivot, take risks, and start something new

11:38 Why AI will change jobs, not replace people

14:18 Owning your syllabus and taking responsibility for your relevance

15:17 How Now to Next uses software to improve services and human outcomes

16:41 Why surveys are broken and voice captures richer employee sentiment

18:40 Using voice AI for culture, maturity, flight feedback, and customer experience

20:55 Why tools only matter if leaders act on what they learn

22:40 How Jason spots signals, handles uncertainty, and pivots quickly

26:17 Durable skills: critical thinking, curiosity, wisdom, and agency

27:46 Big company inertia and workforce planning with stale data

30:07 Resetting hiring around strengths, weaknesses, and role matching

32:32 Why faster broken systems aren't real innovation

35:11 Why the AI shift is always on, not an A-to-B technology swap

38:30 Transforming while keeping the lights on as cycles compress to months

43:27 Treating change as strategy and building a learning habit now

46:28 Closing thoughts on creating value, jobs, and knowledge


Guest Links


Website: https://www.nowtonext.ai/

LinkedIn: https://www.linkedin.com/in/jasonaverbook/

Instagram: https://www.instagram.com/jasonaverbook/

Substack: https://jasonaverbook.substack.com/


Keywords: Future of Work, AI Adoption, HR Technology, Employee Listening, Voice AI, Survey Fatigue, Durable Skills, Workforce Planning, Skills-Based Hiring, Now to Next, Savo, Jason Averbook


]]>16db93b5-7583-4cef-be5c-08dad77789aaWed, 07 Oct 2026 12:00:00 GMT<p>AI won't replace people, but it will replace the jobs and workflows we know today. In this episode, we sit down with Jason Averbook, a longtime HR technology leader and the entrepreneur behind the voice AI platform Savo. Jason shares his expertise on employee listening, durable skills, workforce planning, and the real barriers to AI adoption. Discover why 1990s processes won't survive in 2026 and how to own your relevance in an always-on era of change.</p><p><br /></p><p><b><strong>Key Topics</strong></b></p><p>Why AI will replace jobs, not people</p><p>Listening and other durable skills in an AI-first world</p><p>Using voice AI to replace broken employee surveys</p><p>Redesigning outdated processes, hiring, and workforce planning</p><p><br /></p><p><b><strong>Episode Timestamps</strong></b></p><p>00:00 Introduction to Jason Averbook and why the AI adoption question is wrong</p><p>02:19 Jason's early lessons from a teacher mom, a sales-driven dad, and tech tinkering</p><p>03:33 Managing hotels, experience design, and listening as a durable skill</p><p>04:59 Why the Bay Area still matters as a hub for innovation</p><p>06:29 What Leapgen stood for and why energy, audacity, and proof matter</p><p>07:53 Quitting at 23 and the cost of burning bridges</p><p>09:22 How AI makes it easier to pivot, take risks, and start something new</p><p>11:38 Why AI will change jobs, not replace people</p><p>14:18 Owning your syllabus and taking responsibility for your relevance</p><p>15:17 How Now to Next uses software to improve services and human outcomes</p><p>16:41 Why surveys are broken and voice captures richer employee sentiment</p><p>18:40 Using voice AI for culture, maturity, flight feedback, and customer experience</p><p>20:55 Why tools only matter if leaders act on what they learn</p><p>22:40 How Jason spots signals, handles uncertainty, and pivots quickly</p><p>26:17 Durable skills: critical thinking, curiosity, wisdom, and agency</p><p>27:46 Big company inertia and workforce planning with stale data</p><p>30:07 Resetting hiring around strengths, weaknesses, and role matching</p><p>32:32 Why faster broken systems aren't real innovation</p><p>35:11 Why the AI shift is always on, not an A-to-B technology swap</p><p>38:30 Transforming while keeping the lights on as cycles compress to months</p><p>43:27 Treating change as strategy and building a learning habit now</p><p>46:28 Closing thoughts on creating value, jobs, and knowledge</p><p><br /></p><p><b><strong>Guest Links</strong></b></p><p><br /></p><p>Website: <a href="https://www.nowtonext.ai/" rel="noopener noreferrer nofollow">https://www.nowtonext.ai/</a></p><p>LinkedIn: <a href="https://www.linkedin.com/in/jasonaverbook/" rel="noopener noreferrer nofollow">https://www.linkedin.com/in/jasonaverbook/</a></p><p>Instagram: <a href="https://www.instagram.com/jasonaverbook/" rel="noopener noreferrer nofollow">https://www.instagram.com/jasonaverbook/</a></p><p>Substack: <a href="https://jasonaverbook.substack.com/" rel="noopener noreferrer nofollow">https://jasonaverbook.substack.com/</a></p><p><br /></p><p><b><strong>Keywords:</strong></b> Future of Work, AI Adoption, HR Technology, Employee Listening, Voice AI, Survey Fatigue, Durable Skills, Workforce Planning, Skills-Based Hiring, Now to Next, Savo, Jason Averbook</p><p><br /></p>no00:49:1027Most CEOs Know Less About Their Employees Than LinkedIn Does | Jason Averbookfull<![CDATA[He's Not Selling Recruiting Tools. He's Teaching Recruiters to Build Their Own with AI | Jamie Lyons]]>Struggling to keep up with the fast-moving AI landscape in talent acquisition? Jamie Lyons, Founder of The Rec Lab, joins Jeff to share how recruiters can transition from passive users to active AI builders. In this episode, he breaks down his leap from finance into AI-driven recruitment, how self-built tools and automation scale candidate workflows, and why non-technical professionals can build impactful AI systems without writing traditional code.


Key Topics

Jamie's career transition from accounting to AI-driven recruitment

Scaling candidate capacity through automated workflows and custom tools

Building DIY recruiting tools without a developer background

Establishing controlled AI adoption and standardization across teams

Deploying Claude, GitHub, Vercel, and MCPs for recruitment ecosystems

Creating interactive, dynamic candidate information packets

Change management and position yourself as the AI go-to in your company


Episode Timestamps

0:00 Jamie's transition from finance into AI-driven recruitment

2:25 Overcoming early career constraints through creative AI experimentation

5:13 How artificial intelligence empowers recruiters with unprecedented scale

6:11 Why organizations need controlled AI adoption and governance standards

8:53 Shifting from traditional recruitment to tech-heavy, high-volume operations

15:18 Developing self-taught AI tools without a traditional software background

22:25 How automation transforms recruiting roles without replacing human judgment

24:42 Connecting tools via MCPs for unified data and workflow cohesion

29:03 Building dynamic candidate packets and interactive interview guides

42:20 Leveraging GitHub and Vercel to host shareable recruitment assets

61:34 Strategic value of building internal AI solutions for career growth

64:02 Where to follow Jamie and get involved with The Rec Lab


Guest Links

Website: https://www.thereclab.ai/

LinkedIn: https://www.linkedin.com/in/jamiejaylyons/


Keywords: Jamie Lyons, The Rec Lab, AI in recruitment, talent acquisition automation, recruiter enablement, non-technical AI tools, Model Context Protocol, recruitment technology, candidate experience, future of recruiting


]]>3ce894e5-25cf-40f7-80f7-fe522f12e632Wed, 30 Sep 2026 12:00:00 GMT<p>Struggling to keep up with the fast-moving AI landscape in talent acquisition? Jamie Lyons, Founder of The Rec Lab, joins Jeff to share how recruiters can transition from passive users to active AI builders. In this episode, he breaks down his leap from finance into AI-driven recruitment, how self-built tools and automation scale candidate workflows, and why non-technical professionals can build impactful AI systems without writing traditional code.</p><p><br /></p><p><b>Key Topics</b></p><p>Jamie's career transition from accounting to AI-driven recruitment</p><p>Scaling candidate capacity through automated workflows and custom tools</p><p>Building DIY recruiting tools without a developer background</p><p>Establishing controlled AI adoption and standardization across teams</p><p>Deploying Claude, GitHub, Vercel, and MCPs for recruitment ecosystems</p><p>Creating interactive, dynamic candidate information packets</p><p>Change management and position yourself as the AI go-to in your company</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Jamie's transition from finance into AI-driven recruitment</p><p>2:25 Overcoming early career constraints through creative AI experimentation</p><p>5:13 How artificial intelligence empowers recruiters with unprecedented scale</p><p>6:11 Why organizations need controlled AI adoption and governance standards</p><p>8:53 Shifting from traditional recruitment to tech-heavy, high-volume operations</p><p>15:18 Developing self-taught AI tools without a traditional software background</p><p>22:25 How automation transforms recruiting roles without replacing human judgment</p><p>24:42 Connecting tools via MCPs for unified data and workflow cohesion</p><p>29:03 Building dynamic candidate packets and interactive interview guides</p><p>42:20 Leveraging GitHub and Vercel to host shareable recruitment assets</p><p>61:34 Strategic value of building internal AI solutions for career growth</p><p>64:02 Where to follow Jamie and get involved with The Rec Lab</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.thereclab.ai/" target="_blank">https://www.thereclab.ai/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/jamiejaylyons/" target="_blank">https://www.linkedin.com/in/jamiejaylyons/</a></p><p><br /></p><p><b>Keywords:</b> Jamie Lyons, The Rec Lab, AI in recruitment, talent acquisition automation, recruiter enablement, non-technical AI tools, Model Context Protocol, recruitment technology, candidate experience, future of recruiting</p><p><br /></p>no01:07:1926He's Not Selling Recruiting Tools. He's Teaching Recruiters to Build Their Own with AI | Jamie Lyonsfull<![CDATA[Banana Bread Recipes, AI, and the Future of Hiring Talent | Brady Green]]>Struggling with slow startup hiring, unrealistic candidate profiles, and low offer acceptance rates? Brady Green, Co-founder of Voyager Talent Solutions and former recruiting leader at Amazon, Twitter, and Square, joins Jeff to break down why most early-stage searches fail long before the first resume is submitted. In this episode, he explains how to calibrate founder expectations, why outbound sourcing habits from agency recruiting create corporate edges, and why AI can handle sourcing volume but human trust is required to close top candidates.


Key Topics

Why startup recruiting searches fail due to poor calibration rather than candidate scarcity

Brady's transition from agency recruiting at Aerotek to scaling teams at Amazon, Twitter, and Square

The pivotal moment at Amazon that forced a transition to data-driven, input-focused recruiting

Contrasting enterprise talent systems with rapid, scrappy startup growth environments

The Voyager model: calibrating expectations, hiring founding engineers, and building internal talent capability

Overcoming the "purple squirrel" problem and helping founders define realistic hiring requirements

Why technical talent uses filters to block automated AI outreach and how to stand out

Balancing automation efficiency with human closing, relationship building, and candidate advocacy


Episode Timestamps

0:00 Why startup searches fail before resumes ever arrive

0:24 Brady Green's recruiting leadership background at Amazon, Twitter, and Square

9:37 The Amazon data meeting that transformed Brady's approach to talent analytics

11:23 Building outbound sourcing capabilities inside enterprise recruiting teams

17:31 Key differences in recruiting culture when moving from Amazon to Twitter

19:23 Launching Voyager Talent Solutions to support seed through Series D founders

28:21 The "purple squirrel" problem and calibrating founder expectations

36:48 AI sourcing tools, automated candidate outreach, and message fatigue

43:50 Why effective talent acquisition requires a balance of automation and human connection

54:02 Where to find Voyager Talent Solutions and connect with Brady Green


Guest Links

Website: https://voyagertalent.com/

LinkedIn: http://linkedin.com/in/brady-green-2304b7b/


Keywords: Brady Green, Voyager Talent Solutions, startup recruiting, talent acquisition, recruiting strategy, outbound sourcing, technical recruiting, hiring calibration, Amazon recruiting, Twitter recruiting, candidate experience, AI sourcing, talent strategy


]]>19e5f4a0-e9c0-42f4-9d63-b48377d7e905Wed, 23 Sep 2026 12:00:00 GMT<p>Struggling with slow startup hiring, unrealistic candidate profiles, and low offer acceptance rates? Brady Green, Co-founder of Voyager Talent Solutions and former recruiting leader at Amazon, Twitter, and Square, joins Jeff to break down why most early-stage searches fail long before the first resume is submitted. In this episode, he explains how to calibrate founder expectations, why outbound sourcing habits from agency recruiting create corporate edges, and why AI can handle sourcing volume but human trust is required to close top candidates.</p><p><br /></p><p><b>Key Topics</b></p><p>Why startup recruiting searches fail due to poor calibration rather than candidate scarcity</p><p>Brady's transition from agency recruiting at Aerotek to scaling teams at Amazon, Twitter, and Square</p><p>The pivotal moment at Amazon that forced a transition to data-driven, input-focused recruiting</p><p>Contrasting enterprise talent systems with rapid, scrappy startup growth environments</p><p>The Voyager model: calibrating expectations, hiring founding engineers, and building internal talent capability</p><p>Overcoming the "purple squirrel" problem and helping founders define realistic hiring requirements</p><p>Why technical talent uses filters to block automated AI outreach and how to stand out</p><p>Balancing automation efficiency with human closing, relationship building, and candidate advocacy</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Why startup searches fail before resumes ever arrive</p><p>0:24 Brady Green's recruiting leadership background at Amazon, Twitter, and Square</p><p>9:37 The Amazon data meeting that transformed Brady's approach to talent analytics</p><p>11:23 Building outbound sourcing capabilities inside enterprise recruiting teams</p><p>17:31 Key differences in recruiting culture when moving from Amazon to Twitter</p><p>19:23 Launching Voyager Talent Solutions to support seed through Series D founders</p><p>28:21 The "purple squirrel" problem and calibrating founder expectations</p><p>36:48 AI sourcing tools, automated candidate outreach, and message fatigue</p><p>43:50 Why effective talent acquisition requires a balance of automation and human connection</p><p>54:02 Where to find Voyager Talent Solutions and connect with Brady Green</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://voyagertalent.com/" target="_blank">https://voyagertalent.com/</a></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bradygreen" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="http://linkedin.com/in/brady-green-2304b7b/" target="_blank">http://linkedin.com/in/brady-green-2304b7b/</a></p><p><br /></p><p><b>Keywords: </b>Brady Green, Voyager Talent Solutions, startup recruiting, talent acquisition, recruiting strategy, outbound sourcing, technical recruiting, hiring calibration, Amazon recruiting, Twitter recruiting, candidate experience, AI sourcing, talent strategy</p><p><br /></p>no00:56:5625Banana Bread Recipes, AI, and the Future of Hiring Talent | Brady Greenfull<![CDATA[She Built AI Automations for Army HR — 1.4 Million People, Zero Jobs Lost | Kris Saling]]>Struggling to navigate the complexities of enterprise AI adoption and workforce transformation? Kris Saling, Director of Workforce Transformation and former Chief Technology Advisor for the Assistant Secretary of the Army, joins Jeff to share how she approaches large-scale talent management. In this episode, she breaks down her "AI Driver's Ed" framework for executive leadership, why traditional resumes are breaking in an AI-heavy hiring environment, and how organizations can eliminate millions in operational overhead without removing human judgment.


Key Topics

Kris Saling’s 25-year U.S. Army career and transition into enterprise workforce transformation

The "AI Driver's Ed" framework: guiding leaders to use AI safely, effectively, and responsibly

Why resumes fail in modern talent acquisition and how performance-based assessments replace them

Military-scale talent matching lessons: navigating data quality, job analysis, and change management

The Durable Core, Middleware, and Disposable Edge mental model for skills and system architecture

Eliminating transactional administrative friction to create space for high-impact strategic work

Evaluating AI tools and candidates by focusing on the core decision rather than the technology

Building custom internal agents for research, contract review, budgeting, and institutional memory


Episode Timestamps

0:00 Kris Saling's tech background and talent management approaches

0:28 Why executive leadership requires AI "Driver's Ed" over basic adoption hype

4:33 How AI application volume is breaking traditional resume screening

6:00 Lessons from military record briefs and direct commissioning pipelines

13:32 Overcoming data quality and adoption hurdles in large-scale modernization

17:20 The Durable Core, Middleware, and Disposable Edge skills architecture

22:24 Identifying genuine AI capability versus polished buzzword fluency

25:42 Starting with human decisions to design effective AI workflows

28:22 Developing custom internal agents for research, contracts, and budgeting

33:29 Using AI calendar audits to reduce executive meeting overload

42:41 Where to follow Kris and track her workforce transformation work


Guest Links

Website: https://kristinsaling.com/

LinkedIn: https://www.linkedin.com/in/kris-saling

Instagram: https://www.instagram.com/kcsaling


Keywords: Kris Saling, workforce transformation, AI in talent management, defense innovation, executive leadership, AI adoption, skills-based hiring, agentic workflows, change management, operational efficiency


]]>f0015e20-c458-4969-8f3d-ce18596eab3aWed, 16 Sep 2026 12:00:00 GMT<p>Struggling to navigate the complexities of enterprise AI adoption and workforce transformation? Kris Saling, Director of Workforce Transformation and former Chief Technology Advisor for the Assistant Secretary of the Army, joins Jeff to share how she approaches large-scale talent management. In this episode, she breaks down her "AI Driver's Ed" framework for executive leadership, why traditional resumes are breaking in an AI-heavy hiring environment, and how organizations can eliminate millions in operational overhead without removing human judgment.</p><p><br /></p><p><b>Key Topics</b></p><p>Kris Saling’s 25-year U.S. Army career and transition into enterprise workforce transformation</p><p>The "AI Driver's Ed" framework: guiding leaders to use AI safely, effectively, and responsibly</p><p>Why resumes fail in modern talent acquisition and how performance-based assessments replace them</p><p>Military-scale talent matching lessons: navigating data quality, job analysis, and change management</p><p>The Durable Core, Middleware, and Disposable Edge mental model for skills and system architecture</p><p>Eliminating transactional administrative friction to create space for high-impact strategic work</p><p>Evaluating AI tools and candidates by focusing on the core decision rather than the technology</p><p>Building custom internal agents for research, contract review, budgeting, and institutional memory</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Kris Saling's tech background and talent management approaches</p><p>0:28 Why executive leadership requires AI "Driver's Ed" over basic adoption hype</p><p>4:33 How AI application volume is breaking traditional resume screening</p><p>6:00 Lessons from military record briefs and direct commissioning pipelines</p><p>13:32 Overcoming data quality and adoption hurdles in large-scale modernization</p><p>17:20 The Durable Core, Middleware, and Disposable Edge skills architecture</p><p>22:24 Identifying genuine AI capability versus polished buzzword fluency</p><p>25:42 Starting with human decisions to design effective AI workflows</p><p>28:22 Developing custom internal agents for research, contracts, and budgeting</p><p>33:29 Using AI calendar audits to reduce executive meeting overload</p><p>42:41 Where to follow Kris and track her workforce transformation work</p><p><br /></p><p><b>Guest Links</b></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://www.defense.gov/" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://kristinsaling.com/" target="_blank">https://kristinsaling.com/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/kris-saling" target="_blank">https://www.linkedin.com/in/kris-saling</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/kcsaling" target="_blank">https://www.instagram.com/kcsaling</a></p><p><br /></p><p><b>Keywords:</b> Kris Saling, workforce transformation, AI in talent management, defense innovation, executive leadership, AI adoption, skills-based hiring, agentic workflows, change management, operational efficiency</p><p><br /></p>no00:46:1924She Built AI Automations for Army HR — 1.4 Million People, Zero Jobs Lost | Kris Salingfull<![CDATA[AI Doesn't Just Screen Resumes. It Can Kill Your Useless Meetings Too | Chiara Barden]]>Struggling to get your team to meaningfully adopt AI beyond basic prompt generation? Chiara Barden, Founder of Better by Design AI and former HR leader at Capital One, joins Jeff to share why AI adoption is fundamentally a people challenge rather than a tech issue. In this episode, she breaks down how to structure high-impact prompts, why treating AI as a coworker changes output quality, and how stacking specialized AI personas can turn non-technical professionals into builders.


Key Topics

Why successful AI adoption requires solving human behavior before software setup

Moving past simple prompting to embrace iterative refinement and testing

Treating AI tools as collaborative coworkers to produce higher-quality outputs

Training executive recruiting teams to integrate custom AI agents into HR workflows

Using stacked personas to simulate an entire software development team

Building functional AI applications without a traditional engineering background

Navigating personal and professional transitions by leveraging AI to save time


Episode Timestamps

0:00 Why AI adoption is a people problem rather than a technology problem

0:29 Chiara’s background in HR, enterprise AI training, and knowledge management

0:52 Launching Better by Design AI and developing practical adoption frameworks

5:08 Why most users stop at initial prompting instead of iterating

8:56 The mental model of treating AI systems like a digital coworker

11:04 Building custom AI agents for specialized talent acquisition workflows

16:53 Transitioning from tactical HR tasks to strategic, AI-driven project management

25:03 How stacking AI personas creates multi-disciplinary team simulations

29:48 Developing the AI Treasure Hunter app without a software background

41:45 Understanding how your specific role creates value in an AI-driven economy

44:10 Where to connect with Chiara and join her Free Fridays sessions


Guest Links

Website: https://betterbydesignai.com

LinkedIn: https://www.linkedin.com/in/chiaralb


Keywords: Chiara Barden, Better by Design AI, AI adoption, prompt engineering, HR technology, custom AI agents, stacked personas, talent acquisition, workplace productivity, future of work, AI training


]]>3e6f92a1-bbcc-4628-b302-599ef850b7a3Wed, 09 Sep 2026 12:00:00 GMT<p>Struggling to get your team to meaningfully adopt AI beyond basic prompt generation? Chiara Barden, Founder of Better by Design AI and former HR leader at Capital One, joins Jeff to share why AI adoption is fundamentally a people challenge rather than a tech issue. In this episode, she breaks down how to structure high-impact prompts, why treating AI as a coworker changes output quality, and how stacking specialized AI personas can turn non-technical professionals into builders.</p><p><br /></p><p><b>Key Topics</b></p><p>Why successful AI adoption requires solving human behavior before software setup</p><p>Moving past simple prompting to embrace iterative refinement and testing</p><p>Treating AI tools as collaborative coworkers to produce higher-quality outputs</p><p>Training executive recruiting teams to integrate custom AI agents into HR workflows</p><p>Using stacked personas to simulate an entire software development team</p><p>Building functional AI applications without a traditional engineering background</p><p>Navigating personal and professional transitions by leveraging AI to save time</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Why AI adoption is a people problem rather than a technology problem</p><p>0:29 Chiara’s background in HR, enterprise AI training, and knowledge management</p><p>0:52 Launching Better by Design AI and developing practical adoption frameworks</p><p>5:08 Why most users stop at initial prompting instead of iterating</p><p>8:56 The mental model of treating AI systems like a digital coworker</p><p>11:04 Building custom AI agents for specialized talent acquisition workflows</p><p>16:53 Transitioning from tactical HR tasks to strategic, AI-driven project management</p><p>25:03 How stacking AI personas creates multi-disciplinary team simulations</p><p>29:48 Developing the AI Treasure Hunter app without a software background</p><p>41:45 Understanding how your specific role creates value in an AI-driven economy</p><p>44:10 Where to connect with Chiara and join her Free Fridays sessions</p><p><br /></p><p><b>Guest Links</b></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://www.betterbydesignai.com" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://betterbydesignai.com" target="_blank">https://betterbydesignai.com</a></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://www.linkedin.com/in/chiarabarden" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/chiaralb" target="_blank">https://www.linkedin.com/in/chiaralb</a></p><p><br /></p><p><b>Keywords: </b>Chiara Barden, Better by Design AI, AI adoption, prompt engineering, HR technology, custom AI agents, stacked personas, talent acquisition, workplace productivity, future of work, AI training</p><p><br /></p>no00:46:3523AI Doesn't Just Screen Resumes. It Can Kill Your Useless Meetings Too | Chiara Bardenfull<![CDATA[The Career Lattice: How AI is Reshaping Talent Mobility | Carisue Bench]]>Overwhelmed by how AI is disrupting traditional business models and team dynamics? Carisue Bench, Executive Coach and Workforce Strategy Advisor at NarrativeShift Coaching & Advisory, joins Jeff to challenge how leaders navigate the future of work. In this episode, she breaks down why AI adoption is fundamentally a business transformation issue rather than an IT rollout, how leaders can cultivate trust through organizational shifts, and why human capabilities like curiosity, communication, and adaptability matter more than ever.


Key Topics

Moving from high-volume recruiting into executive workforce strategy and consulting

Viewing AI adoption as a systemic business transformation rather than a technical tool

The essential role of human skills: curiosity, adaptability, and clear communication

Guiding executive teams through organizational change while maintaining culture and trust

Actionable career strategies for entry-level professionals entering corporate environments

Why deep functional expertise and human judgment remain vital in automated workplaces


Episode Timestamps

0:00 Carisue’s trajectory in enterprise workforce strategy and talent consulting

1:05 Why AI integration requires business model transformation over tech fixes

3:13 Growing up in Cupertino and transitioning from recruiting to regional executive roles

7:12 Moving into enterprise human capital advisory and executive coaching

12:02 Case study: Future-of-work shifts in financial services during pandemic disruptions

16:46 How an innovative HR leader automated her routine tasks using AI

19:37 Deploying AI to identify organizational patterns, refine strategy, and frame better questions

22:25 Aligning C-suite AI discussions with concrete, core business challenges

27:03 Why successful organizational change requires visible executive sponsorship

38:41 Overcoming corporate hesitation: How younger professionals can build confidence

43:43 Final advice on continuous learning and taking agency over your career path


Guest Links

Website: https://www.narrative-shift-coaching.com/

LinkedIn: https://www.linkedin.com/in/carisuebench/


Keywords: Carisue Bench, workforce strategy, AI transformation, future of work, executive coaching, talent advisory, organizational change, leadership development, human skills, change management, career growth


]]>726c92a6-d076-45be-84d1-0f5d495bcf9fWed, 02 Sep 2026 12:00:00 GMT<p>Overwhelmed by how AI is disrupting traditional business models and team dynamics? Carisue Bench, Executive Coach and Workforce Strategy Advisor at NarrativeShift Coaching &amp; Advisory, joins Jeff to challenge how leaders navigate the future of work. In this episode, she breaks down why AI adoption is fundamentally a business transformation issue rather than an IT rollout, how leaders can cultivate trust through organizational shifts, and why human capabilities like curiosity, communication, and adaptability matter more than ever.</p><p><br /></p><p><b>Key Topics</b></p><p>Moving from high-volume recruiting into executive workforce strategy and consulting</p><p>Viewing AI adoption as a systemic business transformation rather than a technical tool</p><p>The essential role of human skills: curiosity, adaptability, and clear communication</p><p>Guiding executive teams through organizational change while maintaining culture and trust</p><p>Actionable career strategies for entry-level professionals entering corporate environments</p><p>Why deep functional expertise and human judgment remain vital in automated workplaces</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Carisue’s trajectory in enterprise workforce strategy and talent consulting</p><p>1:05 Why AI integration requires business model transformation over tech fixes</p><p>3:13 Growing up in Cupertino and transitioning from recruiting to regional executive roles</p><p>7:12 Moving into enterprise human capital advisory and executive coaching</p><p>12:02 Case study: Future-of-work shifts in financial services during pandemic disruptions</p><p>16:46 How an innovative HR leader automated her routine tasks using AI</p><p>19:37 Deploying AI to identify organizational patterns, refine strategy, and frame better questions</p><p>22:25 Aligning C-suite AI discussions with concrete, core business challenges</p><p>27:03 Why successful organizational change requires visible executive sponsorship</p><p>38:41 Overcoming corporate hesitation: How younger professionals can build confidence</p><p>43:43 Final advice on continuous learning and taking agency over your career path</p><p><br /></p><p><b>Guest Links</b></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://www.narrative-shift-coaching.com/" target="_blank"> https://www.narrative-shift-coaching.com/</a></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://www.linkedin.com/in/carisuebench" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/carisuebench/" target="_blank">https://www.linkedin.com/in/carisuebench/</a></p><p><br /></p><p><b>Keywords: </b>Carisue Bench, workforce strategy, AI transformation, future of work, executive coaching, talent advisory, organizational change, leadership development, human skills, change management, career growth</p><p><br /></p>no00:47:0522The Career Lattice: How AI is Reshaping Talent Mobility | Carisue Benchfull<![CDATA[Artificial Intelligence In Recruiting: The Talent Engineering Playbook | Kyler Frisbee]]>Struggling with high ATS noise, fraudulent applications, and generic sourcing tools? Kyler Frisbee, Founder of Optimal Tech Partners and Seedglass, joins Jeff Midland to share how he went from semi-pro snowboarder to tech recruiter at Google, Rivian, and Unity, and eventually to AI systems builder. In this episode, he breaks down why modern talent acquisition requires "talent engineering," how proprietary agentic sourcing surfaces hidden candidates from public signals, and why trust, closing, and candidate advocacy remain distinctly human.


Key Topics

Kyler's trajectory from semi-pro snowboarding to tech recruiting at Google, Rivian, and Unity

Transitioning from traditional recruitment into talent engineering and vibe coding

Building proprietary AI sourcing engines that search beyond standard resume databases

Why building in public, GitHub activity, and published work are replacing static resumes

Lessons from early 2014 IBM Watson recruiting experiments vs. modern context-aware AI

Overcoming ATS noise, fake profiles, and application spam through multi-signal sourcing

The human elements that cannot be automated: trust, negotiation, and candidate advocacy

Hands-on AI building using tools like Claude Code, Replit, Lovable, and GitHub workflows


Episode Timestamps

0:00 Kyler’s background and transition from action sports to tech recruiting

4:11 How proprietary sourcing engines find candidates standard platforms miss

5:36 Why building in public creates stronger signals than traditional resumes

6:58 What IBM Watson's early recruiting efforts got wrong in 2014

10:19 Head-to-head sourcing results on complex technical roles

12:14 The evolving role of resumes as validation rather than discovery

21:12 Why Kyler kept his sourcing engine proprietary instead of selling software

28:15 Balancing automated sourcing stacks with human-driven closing

31:28 How non-tech sourcing, like finding electricians via permits, works

33:48 Avoiding overengineered agent swarms to keep API costs down

40:38 How coding agents empower non-engineers to build functional tools

50:03 Where to follow Kyler and his Talent Engineer content


Guest Links

Website: https://optimal.tech/ and https://seedglass.com/

Instagram: https://www.instagram.com/techgentleman/

LinkedIn: https://www.linkedin.com/in/techgentleman/


Keywords: Kyler Frisbee, Talent Engineer, AI sourcing, technical recruiting, candidate sourcing, building in public, Claude Code, Replit, Lovable, ATS noise, recruiting automation, talent acquisition, human-centered recruiting


]]>f0d0bc9f-630b-4ecb-92be-387977c4e7fdWed, 26 Aug 2026 15:45:00 GMT<p>Struggling with high ATS noise, fraudulent applications, and generic sourcing tools? Kyler Frisbee, Founder of Optimal Tech Partners and Seedglass, joins Jeff Midland to share how he went from semi-pro snowboarder to tech recruiter at Google, Rivian, and Unity, and eventually to AI systems builder. In this episode, he breaks down why modern talent acquisition requires "talent engineering," how proprietary agentic sourcing surfaces hidden candidates from public signals, and why trust, closing, and candidate advocacy remain distinctly human.</p><p><br /></p><p><b>Key Topics</b></p><p>Kyler's trajectory from semi-pro snowboarding to tech recruiting at Google, Rivian, and Unity</p><p>Transitioning from traditional recruitment into talent engineering and vibe coding</p><p>Building proprietary AI sourcing engines that search beyond standard resume databases</p><p>Why building in public, GitHub activity, and published work are replacing static resumes</p><p>Lessons from early 2014 IBM Watson recruiting experiments vs. modern context-aware AI</p><p>Overcoming ATS noise, fake profiles, and application spam through multi-signal sourcing</p><p>The human elements that cannot be automated: trust, negotiation, and candidate advocacy</p><p>Hands-on AI building using tools like Claude Code, Replit, Lovable, and GitHub workflows</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Kyler’s background and transition from action sports to tech recruiting</p><p>4:11 How proprietary sourcing engines find candidates standard platforms miss</p><p>5:36 Why building in public creates stronger signals than traditional resumes</p><p>6:58 What IBM Watson's early recruiting efforts got wrong in 2014</p><p>10:19 Head-to-head sourcing results on complex technical roles</p><p>12:14 The evolving role of resumes as validation rather than discovery</p><p>21:12 Why Kyler kept his sourcing engine proprietary instead of selling software</p><p>28:15 Balancing automated sourcing stacks with human-driven closing</p><p>31:28 How non-tech sourcing, like finding electricians via permits, works</p><p>33:48 Avoiding overengineered agent swarms to keep API costs down</p><p>40:38 How coding agents empower non-engineers to build functional tools</p><p>50:03 Where to follow Kyler and his Talent Engineer content</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://optimal.tech/" target="_blank">https://optimal.tech/</a> and <a rel="noopener noreferrer nofollow" href="https://seedglass.com/" target="_blank">https://seedglass.com/</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/techgentleman/" target="_blank">https://www.instagram.com/techgentleman/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/techgentleman/" target="_blank">https://www.linkedin.com/in/techgentleman/</a></p><p><br /></p><p><b>Keywords: </b>Kyler Frisbee, Talent Engineer, AI sourcing, technical recruiting, candidate sourcing, building in public, Claude Code, Replit, Lovable, ATS noise, recruiting automation, talent acquisition, human-centered recruiting</p><p><br /></p>no00:55:1321Artificial Intelligence In Recruiting: The Talent Engineering Playbook | Kyler Frisbeefull<![CDATA[How This Recruiter Became an Engineer Using Artificial Intelligence | Bryan Hong]]>Navigating strict compliance while trying to modernize talent acquisition? Bryan Hong, Head of AI Services at Astranis, joins Jeff to share how he built multi-agent recruiting workflows inside one of the most regulated aerospace environments in tech. In this episode, he breaks down his leap from finance and agency recruiting into engineering, how his six-agent swarm compresses weeks of talent research into hours, and why AI fluency has become a non-negotiable skill for modern recruiters.


Key Topics

Bryan Hong’s transition from finance into agency recruiting, tech sourcing, and AI engineering

Building compliance-ready AI workflows within regulated aerospace environments

The architecture of a six-agent recruiting swarm (Sensei, Atlas, Hunter, Shakespeare, Oracle, QA)

Reducing talent research and candidate prep time from weeks down to hours

Agency grit versus in-house ownership and deep business context

The five pillars of top recruiters: interpersonal skill, domain, data, influence, and AI fluency

Using AI as an accelerator to build tools without needing a traditional coding background

Navigating enterprise security, compliance, and moving prototypes to production


Episode Timestamps

0:00 Building AI systems within regulated aerospace environments

1:26 Bryan’s background in finance, fintech, and falling into recruiting

6:03 Why regulated hiring at Astranis made recruitment automation critical

9:20 How a six-agent swarm cuts candidate research from weeks to hours

14:30 Using AI to build functional tools without becoming a full-time coder

19:13 The prompt engineering mindset required for iterative AI development

21:35 The key capabilities separating level one recruiters from level four domain owners

32:00 Getting AI tools past strict enterprise security and compliance protocols

43:17 How to evaluate true AI fluency and scientific prompt design in candidates

51:16 Why AI fluency is becoming a core job requirement rather than a bonus skill

56:23 Where to follow Bryan's work, prompts, and automation builds


Guest Links

Website: https://www.astranis.com/

LinkedIn: https://www.linkedin.com/in/bryanhong/


Keywords: Bryan Hong, AI in recruiting, recruiting automation, agentic workflows, multi-agent systems, enterprise AI, regulated aerospace, talent acquisition, recruiting strategy, AI fluency, prompt engineering, recruiter productivity, future of work

]]>aadc3242-75fb-468a-ad7b-ccba6a12a728Wed, 19 Aug 2026 12:00:00 GMT<p>Navigating strict compliance while trying to modernize talent acquisition? Bryan Hong, Head of AI Services at Astranis, joins Jeff to share how he built multi-agent recruiting workflows inside one of the most regulated aerospace environments in tech. In this episode, he breaks down his leap from finance and agency recruiting into engineering, how his six-agent swarm compresses weeks of talent research into hours, and why AI fluency has become a non-negotiable skill for modern recruiters.</p><p><br /></p><p><b>Key Topics</b></p><p>Bryan Hong’s transition from finance into agency recruiting, tech sourcing, and AI engineering</p><p>Building compliance-ready AI workflows within regulated aerospace environments</p><p>The architecture of a six-agent recruiting swarm (Sensei, Atlas, Hunter, Shakespeare, Oracle, QA)</p><p>Reducing talent research and candidate prep time from weeks down to hours</p><p>Agency grit versus in-house ownership and deep business context</p><p>The five pillars of top recruiters: interpersonal skill, domain, data, influence, and AI fluency</p><p>Using AI as an accelerator to build tools without needing a traditional coding background</p><p>Navigating enterprise security, compliance, and moving prototypes to production</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Building AI systems within regulated aerospace environments</p><p>1:26 Bryan’s background in finance, fintech, and falling into recruiting</p><p>6:03 Why regulated hiring at Astranis made recruitment automation critical</p><p>9:20 How a six-agent swarm cuts candidate research from weeks to hours</p><p>14:30 Using AI to build functional tools without becoming a full-time coder</p><p>19:13 The prompt engineering mindset required for iterative AI development</p><p>21:35 The key capabilities separating level one recruiters from level four domain owners</p><p>32:00 Getting AI tools past strict enterprise security and compliance protocols</p><p>43:17 How to evaluate true AI fluency and scientific prompt design in candidates</p><p>51:16 Why AI fluency is becoming a core job requirement rather than a bonus skill</p><p>56:23 Where to follow Bryan's work, prompts, and automation builds</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.astranis.com/" target="_blank">https://www.astranis.com/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bryanhong/" target="_blank">https://www.linkedin.com/in/bryanhong/</a></p><p><br /></p><p><b>Keywords:</b> Bryan Hong, AI in recruiting, recruiting automation, agentic workflows, multi-agent systems, enterprise AI, regulated aerospace, talent acquisition, recruiting strategy, AI fluency, prompt engineering, recruiter productivity, future of work</p>no00:59:5020How This Recruiter Became an Engineer Using Artificial Intelligence | Bryan Hongfull<![CDATA[Why Most Leaders Are Playing Checkers With Artificial Intelligence | Kelly Monahan]]>Struggling to balance aggressive AI implementation with employee burnout and organizational wellbeing? Dr. Kelly Monahan, Managing Director at the Upwork Research Institute and former Future of Work Lead at Meta, joins Jeff to challenge how business leaders approach workforce transformation. In this episode, she breaks down why short-term cost-cutting undermines long-term innovation, how skills-based workforce planning replaces rigid job descriptions, and why maintaining humanity is essential when AI rewrites the future of work.


Key Topics

Aligning organizational AI strategy with human-centered workforce goals

Macroeconomic pressures driving AI adoption for cost-cutting versus long-term innovation

Core future skills: resilience, systems thinking, AI fluency, and adaptability

Shifting from rigid job descriptions to skills-based workforce planning

The impact of AI on knowledge work and potential rebalancing toward physical skills

How AI democratizes expertise and reshapes traditional positional authority

The leadership framework of Drift, Delirium, and Dream for organizational transformation

Cross-industry AI applications for operational flexibility and customer experience


Episode Timestamps

0:00 Leaders prioritizing AI strategy over workforce wellbeing

0:30 Kelly's background from Kodak layoffs to human-centered AI research

2:47 Short-term cost-cutting versus long-term value creation

5:43 Identifying core business problems before deploying AI tools

6:11 Moving from rigid job titles to competency-based skill mapping

13:04 Labor market shifts, skill re-evaluation, and identity disruption

16:22 Top five skills for future employment in an AI-driven economy

26:41 Assessing organizational readiness, AI ROI, and strategy over hype

30:42 The Drift, Delirium, and Dream framework in leadership development

33:01 How AI democratizes expertise and diminishes formal corporate authority

42:51 Final advice on personal agency and continuous learning


Guest Links

Website: https://www.beyondthedesk.com/

LinkedIn: https://www.linkedin.com/in/kelly-monahan-ph-d-18879413


Keywords: Kelly Monahan, human-centered AI, future of work, skills-based hiring, workforce planning, Upwork Research Institute, leadership development, AI strategy, organizational culture, upskilling


]]>ac7997c7-deed-4f92-803c-5899eae257aaWed, 05 Aug 2026 12:00:00 GMT<p>Struggling to balance aggressive AI implementation with employee burnout and organizational wellbeing? Dr. Kelly Monahan, Managing Director at the Upwork Research Institute and former Future of Work Lead at Meta, joins Jeff to challenge how business leaders approach workforce transformation. In this episode, she breaks down why short-term cost-cutting undermines long-term innovation, how skills-based workforce planning replaces rigid job descriptions, and why maintaining humanity is essential when AI rewrites the future of work.</p><p><br /></p><p><b>Key Topics</b></p><p>Aligning organizational AI strategy with human-centered workforce goals</p><p>Macroeconomic pressures driving AI adoption for cost-cutting versus long-term innovation</p><p>Core future skills: resilience, systems thinking, AI fluency, and adaptability</p><p>Shifting from rigid job descriptions to skills-based workforce planning</p><p>The impact of AI on knowledge work and potential rebalancing toward physical skills</p><p>How AI democratizes expertise and reshapes traditional positional authority</p><p>The leadership framework of Drift, Delirium, and Dream for organizational transformation</p><p>Cross-industry AI applications for operational flexibility and customer experience</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Leaders prioritizing AI strategy over workforce wellbeing</p><p>0:30 Kelly's background from Kodak layoffs to human-centered AI research</p><p>2:47 Short-term cost-cutting versus long-term value creation</p><p>5:43 Identifying core business problems before deploying AI tools</p><p>6:11 Moving from rigid job titles to competency-based skill mapping</p><p>13:04 Labor market shifts, skill re-evaluation, and identity disruption</p><p>16:22 Top five skills for future employment in an AI-driven economy</p><p>26:41 Assessing organizational readiness, AI ROI, and strategy over hype</p><p>30:42 The Drift, Delirium, and Dream framework in leadership development</p><p>33:01 How AI democratizes expertise and diminishes formal corporate authority</p><p>42:51 Final advice on personal agency and continuous learning</p><p><br /></p><p><b>Guest Links</b></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://www.reclaimtheplotbook.com/" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.beyondthedesk.com/" target="_blank">https://www.beyondthedesk.com/</a></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://www.linkedin.com/in/kelly-monahan" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/kelly-monahan-ph-d-18879413" target="_blank">https://www.linkedin.com/in/kelly-monahan-ph-d-18879413</a></p><p><br /></p><p><b>Keywords:</b> Kelly Monahan, human-centered AI, future of work, skills-based hiring, workforce planning, Upwork Research Institute, leadership development, AI strategy, organizational culture, upskilling</p><p><br /></p>no00:42:5919Why Most Leaders Are Playing Checkers With Artificial Intelligence | Kelly Monahanfull<![CDATA[Skills-Based Hiring: How Vervoe's CEO Is Rebuilding the Interview | Omer Molad]]>Sending out resumes only to meet dead ends and radio silence? Omer Molad, Co-founder and CEO of Vervoe, joins Jeff to challenge how companies evaluate human potential entirely. In this episode, he breaks down why traditional resumes fail to predict performance, how Vervoe's audition-style simulations replace outdated screening methods, and why the future of talent acquisition belongs to skills-based hiring rather than pedigree.


Key Topics

The measurement problem in modern hiring

Why resumes are misleading marketing documents

Audition-based hiring and real-world task simulations

AI-powered assessments for candidate evaluation

Balancing AI proficiency with fraud detection

Remote-first work culture and distributed teams

Voluntary obsolescence and continuous self-reinvention


Episode Timestamps

0:00 Why hiring is a measurement issue, not a talent shortage

0:29 Omer's journey from candidate to founder

1:57 Why traditional resumes fail to identify actual capability

2:56 The inspiration behind Vervoe's real-job scenario assessments

6:17 Remote work culture and living the Australian countryside lifestyle

11:25 Moving past pedigree and replacing interview fatigue

14:43 How AI assesses current skills and future candidate potential

18:33 Detecting AI cheating and maintaining assessment integrity

25:42 Designing practical simulations that mimic on-the-job tasks

34:46 Why companies are abandoning traditional resume screening

48:15 Embracing continuous reinvention and voluntary obsolescence

50:11 Where to find Omer and follow his work


Guest Links

Website: https://vervoe.com/

LinkedIn: https://www.linkedin.com/in/omermolad/


Keywords: Omer Molad, Vervoe, skills-based hiring, AI assessments, recruitment technology, future of work, talent acquisition, skill validation, remote work, audition-based hiring


]]>818d15ad-9fc7-4c24-b1a5-966cb1d15d16Wed, 29 Jul 2026 12:00:00 GMT<p>Sending out resumes only to meet dead ends and radio silence? Omer Molad, Co-founder and CEO of Vervoe, joins Jeff to challenge how companies evaluate human potential entirely. In this episode, he breaks down why traditional resumes fail to predict performance, how Vervoe's audition-style simulations replace outdated screening methods, and why the future of talent acquisition belongs to skills-based hiring rather than pedigree.</p><p><br /></p><p><b>Key Topics</b></p><p>The measurement problem in modern hiring</p><p>Why resumes are misleading marketing documents</p><p>Audition-based hiring and real-world task simulations</p><p>AI-powered assessments for candidate evaluation</p><p>Balancing AI proficiency with fraud detection</p><p>Remote-first work culture and distributed teams</p><p>Voluntary obsolescence and continuous self-reinvention</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Why hiring is a measurement issue, not a talent shortage</p><p>0:29 Omer's journey from candidate to founder</p><p>1:57 Why traditional resumes fail to identify actual capability</p><p>2:56 The inspiration behind Vervoe's real-job scenario assessments</p><p>6:17 Remote work culture and living the Australian countryside lifestyle</p><p>11:25 Moving past pedigree and replacing interview fatigue</p><p>14:43 How AI assesses current skills and future candidate potential</p><p>18:33 Detecting AI cheating and maintaining assessment integrity</p><p>25:42 Designing practical simulations that mimic on-the-job tasks</p><p>34:46 Why companies are abandoning traditional resume screening</p><p>48:15 Embracing continuous reinvention and voluntary obsolescence</p><p>50:11 Where to find Omer and follow his work</p><p><br /></p><p><b>Guest Links</b></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://vervoe.com/" target="_blank"> https://vervoe.com/</a></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://www.linkedin.com/in/omermolad" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/omermolad/" target="_blank">https://www.linkedin.com/in/omermolad/</a></p><p><br /></p><p><b>Keywords: </b>Omer Molad, Vervoe, skills-based hiring, AI assessments, recruitment technology, future of work, talent acquisition, skill validation, remote work, audition-based hiring</p><p><br /></p>no00:53:2518Skills-Based Hiring: How Vervoe's CEO Is Rebuilding the Interview | Omer Moladfull<![CDATA[From Cirque du Soleil to Career Coach: Why Your Resume Isn't Getting Past AI | Mindy May]]>Sending out hundreds of applications and getting silence in return? Mindy May, a Certified Career Coach and former HR Director with experience at companies including Cirque du Soleil, joins Jeff to challenge how most professionals approach the job search entirely. In this episode, she breaks down why positioning beats volume, how to turn your resume into a marketing document that gets noticed by both ATS systems and human recruiters, and why interview preparation is the difference between hoping for an offer and actually getting one.


Key Topics

Positioning over application volume

Resume and cover letter as marketing tools

How ATS systems and human recruiters both shape hiring decisions

DISC assessments for career alignment

AI tools for job seekers and career coaches

Interview preparation and storytelling


Episode Timestamps

0:00 Why job seekers often have a positioning problem, not just a resume problem

0:27 Mindy's background in HR, psychology, and leadership

6:07 Why applying to more jobs is not the real solution

7:37 What ATS means and how it affects job seekers

8:55 Why resumes should be treated as marketing documents

15:24 Why a tailored cover letter can still make a difference

20:35 Whether candidates should reach out directly to recruiters or hiring managers

29:19 How DISC assessments help coach candidates more effectively

35:03 How people are adopting AI in the workplace

40:29 Using AI to improve interview prep and storytelling

46:12 Why interviews are not a dress rehearsal

51:02 Where to find Mindy and follow her work


Guest Links

Website: https://www.careercoachsvc.com/coach/mindy-may-mba/

LinkedIn: https://www.linkedin.com/in/mindymay-coach


Keywords: job search positioning, ATS resume optimization, resume as marketing document, DISC career assessment, AI in job search, cover letter strategy, interview preparation, applicant tracking systems, career coaching, LinkedIn for job seekers


]]>f6a682be-e5aa-4898-9e99-9595b5c3f7a1Wed, 22 Jul 2026 12:00:00 GMT<p>Sending out hundreds of applications and getting silence in return? Mindy May, a Certified Career Coach and former HR Director with experience at companies including Cirque du Soleil, joins Jeff to challenge how most professionals approach the job search entirely. In this episode, she breaks down why positioning beats volume, how to turn your resume into a marketing document that gets noticed by both ATS systems and human recruiters, and why interview preparation is the difference between hoping for an offer and actually getting one.</p><p><br /></p><p><b>Key Topics</b></p><p>Positioning over application volume</p><p>Resume and cover letter as marketing tools</p><p>How ATS systems and human recruiters both shape hiring decisions</p><p>DISC assessments for career alignment</p><p>AI tools for job seekers and career coaches</p><p>Interview preparation and storytelling</p><p><br /></p><p><b>Episode Timestamps</b></p><p>0:00 Why job seekers often have a positioning problem, not just a resume problem</p><p>0:27 Mindy's background in HR, psychology, and leadership</p><p>6:07 Why applying to more jobs is not the real solution</p><p>7:37 What ATS means and how it affects job seekers</p><p>8:55 Why resumes should be treated as marketing documents</p><p>15:24 Why a tailored cover letter can still make a difference</p><p>20:35 Whether candidates should reach out directly to recruiters or hiring managers</p><p>29:19 How DISC assessments help coach candidates more effectively</p><p>35:03 How people are adopting AI in the workplace</p><p>40:29 Using AI to improve interview prep and storytelling</p><p>46:12 Why interviews are not a dress rehearsal</p><p>51:02 Where to find Mindy and follow her work</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.careercoachsvc.com/coach/mindy-may-mba/" target="_blank">https://www.careercoachsvc.com/coach/mindy-may-mba/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/mindymay-coach" target="_blank">https://www.linkedin.com/in/mindymay-coach</a></p><p><br /></p><p><b>Keywords: </b>job search positioning, ATS resume optimization, resume as marketing document, DISC career assessment, AI in job search, cover letter strategy, interview preparation, applicant tracking systems, career coaching, LinkedIn for job seekers</p><p><br /></p>no00:55:0017From Cirque du Soleil to Career Coach: Why Your Resume Isn't Getting Past AI | Mindy Mayfull<![CDATA[Hiring Data Nobody Talks About | Jen Emmons]]>Most professionals approach a job search the same way they did a decade ago, and that mismatch is exactly what holds them back. Jen Emmons, a career coach and recruiting strategist with over 20 years in HR leadership, has built her practice around helping experienced professionals reframe their value in language that actually lands with recruiters and hiring managers. In this episode, she breaks down how to update your resume for the role you want rather than the one you had, why the transferable skills matrix changes everything for career pivoters, and what it really takes to walk into an interview and get the offer.


Key Topics

Updating your resume to reflect value, not just responsibilities

The transferable skills matrix for targeting the right roles

Overcoming ageism and ATS fears

Networking as relationship building

Career pivots with clarity

Interviewing to get the offer, not just hope for it


Episode Timestamps

00:00 How job seekers unknowingly work against themselves

01:23 Jen's background and the conversation begins

05:35 Resume mistakes recruiters notice right away

08:21 ATS vs. hiring manager review

12:12 The transferable skills matrix

14:56 The biggest fear: ageism

17:22 Dispelling myths about AI and recruiting systems

22:29 Why networking is really relationship building

27:36 The root cause filter framework

33:46 Career pivots and moving forward with clarity

39:27 Interviewing to get the offer, not just hope for it

50:21 What to say to AI skeptics

54:12 Closing thoughts and where to connect


Guest Links

Website: https://www.jenemmonsconsulting.com/

LinkedIn: https://www.linkedin.com/in/jenemmons


Keywords: career transition, resume strategy, transferable skills matrix, ageism in job search, applicant tracking systems, career pivot coaching, networking for job seekers, interview preparation, recruiting strategy, HR leadership

]]>cf4dd54f-854a-4c8b-8d45-4bf33576cf52Wed, 15 Jul 2026 12:00:00 GMT<p>Most professionals approach a job search the same way they did a decade ago, and that mismatch is exactly what holds them back. Jen Emmons, a career coach and recruiting strategist with over 20 years in HR leadership, has built her practice around helping experienced professionals reframe their value in language that actually lands with recruiters and hiring managers. In this episode, she breaks down how to update your resume for the role you want rather than the one you had, why the transferable skills matrix changes everything for career pivoters, and what it really takes to walk into an interview and get the offer.</p><p><br /></p><p><b>Key Topics</b></p><p>Updating your resume to reflect value, not just responsibilities</p><p>The transferable skills matrix for targeting the right roles</p><p>Overcoming ageism and ATS fears</p><p>Networking as relationship building</p><p>Career pivots with clarity</p><p>Interviewing to get the offer, not just hope for it</p><p><br /></p><p><b>Episode</b> <b>Timestamps</b></p><p>00:00 How job seekers unknowingly work against themselves</p><p>01:23 Jen's background and the conversation begins</p><p>05:35 Resume mistakes recruiters notice right away</p><p>08:21 ATS vs. hiring manager review</p><p>12:12 The transferable skills matrix</p><p>14:56 The biggest fear: ageism</p><p>17:22 Dispelling myths about AI and recruiting systems</p><p>22:29 Why networking is really relationship building</p><p>27:36 The root cause filter framework</p><p>33:46 Career pivots and moving forward with clarity</p><p>39:27 Interviewing to get the offer, not just hope for it</p><p>50:21 What to say to AI skeptics</p><p>54:12 Closing thoughts and where to connect</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.jenemmonsconsulting.com/" target="_blank">https://www.jenemmonsconsulting.com/</a></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/jenemmons" target="_blank">https://www.linkedin.com/in/jenemmons</a></p><p><br /></p><p><b>Keywords: </b>career transition, resume strategy, transferable skills matrix, ageism in job search, applicant tracking systems, career pivot coaching, networking for job seekers, interview preparation, recruiting strategy, HR leadership</p>no00:56:3416Hiring Data Nobody Talks About | Jen Emmonsfull<![CDATA[Why Your Job Application Never Gets Seen and What AI Can't Fix About Hiring | Bob Pulver]]>What happens when AI starts making hiring decisions and no one is watching? Bob Pulver, a former Fortune 500 IT executive turned HR tech and AI ethics specialist, brings rare cross-functional expertise to one of the most consequential shifts in the modern workplace. In this conversation, he unpacks how AI is reshaping every stage of recruitment from sourcing to onboarding, what transparency and accountability in AI-driven hiring tools actually require, and why the traditional resume may already be on borrowed time.


Key Topics

AI across the full recruitment lifecycle

Responsible AI, bias mitigation, and hiring audits

Candidate fraud risks and AI-assisted assessments

Internal mobility and workforce reskilling

Human oversight in AI talent decisions

Future skills and education in an AI-enabled workforce



Episode Timestamps

00:00 The AI ecosystem in hiring: machine-to-machine and human interaction

00:24 Bob Pulver's experience and transition from Fortune 500 to HR tech

03:51 The impact of AI on talent decision-making and ethical concerns

08:40 A pivotal moment: transitioning from IT and automation to talent and AI ethics

13:05 AI in talent acquisition: sourcing, screening, and predictive analytics

17:28 The mechanics of AI in resume screening and job description alignment

20:28 Challenges of bias, fairness, and accountability in AI hiring tools

28:56 The role of applicant tracking systems and recruiter workflows amidst increasing applicant volume

34:48 The dangers of candidate fraud, AI bias, and the need for fair evaluation standards

43:29 The importance of social analytics, behavioral assessment, and critical thinking skills

51:38 The ethical use of AI and importance of transparent policies in hiring

54:02 Practical steps for candidates and employers to navigate AI-powered talent processes

56:26 Resources: Bob's work on Work Defined Podcast and Elevate Your AIQ Substack


Guest Links

LinkedIn: https://www.linkedin.com/in/bobpulver

Podcast: https://wrkdefined.com/podcast/elevate-your-aiq

Website: https://elevateyouraiq.substack.com/


Keywords: AI in hiring, AI recruitment tools, responsible AI hiring, bias in talent acquisition, human oversight in AI, workforce reskilling, candidate fraud, HR technology, talent acquisition automation, future of work skills


]]>1c7ed4c4-d728-4b91-8865-f8968f7e7c97Wed, 08 Jul 2026 12:00:00 GMT<p>What happens when AI starts making hiring decisions and no one is watching? Bob Pulver, a former Fortune 500 IT executive turned HR tech and AI ethics specialist, brings rare cross-functional expertise to one of the most consequential shifts in the modern workplace. In this conversation, he unpacks how AI is reshaping every stage of recruitment from sourcing to onboarding, what transparency and accountability in AI-driven hiring tools actually require, and why the traditional resume may already be on borrowed time.</p><p><br /></p><p><b>Key Topics</b></p><p>AI across the full recruitment lifecycle</p><p>Responsible AI, bias mitigation, and hiring audits</p><p>Candidate fraud risks and AI-assisted assessments</p><p>Internal mobility and workforce reskilling</p><p>Human oversight in AI talent decisions</p><p>Future skills and education in an AI-enabled workforce</p><p><br /><br /></p><p><b>Episode Timestamps</b></p><p>00:00 The AI ecosystem in hiring: machine-to-machine and human interaction</p><p>00:24 Bob Pulver's experience and transition from Fortune 500 to HR tech</p><p>03:51 The impact of AI on talent decision-making and ethical concerns</p><p>08:40 A pivotal moment: transitioning from IT and automation to talent and AI ethics</p><p>13:05 AI in talent acquisition: sourcing, screening, and predictive analytics</p><p>17:28 The mechanics of AI in resume screening and job description alignment</p><p>20:28 Challenges of bias, fairness, and accountability in AI hiring tools</p><p>28:56 The role of applicant tracking systems and recruiter workflows amidst increasing applicant volume</p><p>34:48 The dangers of candidate fraud, AI bias, and the need for fair evaluation standards</p><p>43:29 The importance of social analytics, behavioral assessment, and critical thinking skills</p><p>51:38 The ethical use of AI and importance of transparent policies in hiring</p><p>54:02 Practical steps for candidates and employers to navigate AI-powered talent processes</p><p>56:26 Resources: Bob's work on Work Defined Podcast and Elevate Your AIQ Substack</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bobpulver" target="_blank">https://www.linkedin.com/in/bobpulver</a></p><p>Podcast: <a rel="noopener noreferrer nofollow" href="https://wrkdefined.com/podcast/elevate-your-aiq" target="_blank">https://wrkdefined.com/podcast/elevate-your-aiq</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://elevateyouraiq.substack.com/" target="_blank">https://elevateyouraiq.substack.com/</a></p><p><br /></p><p><b>Keywords:</b> AI in hiring, AI recruitment tools, responsible AI hiring, bias in talent acquisition, human oversight in AI, workforce reskilling, candidate fraud, HR technology, talent acquisition automation, future of work skills</p><p><br /></p>no01:00:0415Why Your Job Application Never Gets Seen and What AI Can't Fix About Hiring | Bob Pulverfull<![CDATA[She built Microsoft's Great Copilot Journey Program. Now, AI is her Co-Founder | Kristin Ginn]]>Are you navigating the challenges of AI implementation in your organization? Kristin Ginn shares practical insights from her experience designing programs like the Great Copilot Journey and founding trnsfrmAItn, emphasizing the importance of addressing the human side of AI adoption.


Key Topics

Kristin's background and how her tennis performance mindset influences her approach to AI

The significance of human-centered AI adoption strategies

How to build organizational buy-in from top leadership to frontline employees

A four-tier framework for empowering employees with AI: AI 101, Tech 101, AI Trail, and fun, engaging training methods

The common barriers to AI acceptance, including professional identity and status quo bias

Practical tips for leveraging AI as an assistant, explorer, editor, and coach

Examples of innovative organizational approaches, such as Canva's week-long AI immersion

How AI can democratize access to strategic insights and resources

Kristin's personal journey from corporate marketing to AI consultancy


Episode Timestamps:


00:00 - Why employee adoption often gets overlooked in AI initiatives

02:18 - The moment Kristen realized AI's transformative potential

04:45 - Moving from marketing campaigns to AI program development

06:42 - Ensuring workforce readiness for AI tools

09:22 - How AI helped Kristen bootstrap her own business

11:58 - Overcoming confidence and bias in quitting the corporate world

14:24 - The human side of AI rollout and avoiding quiet retreats

16:44 - How to prevent token maxing from undermining AI value

19:01 - Special organizational initiatives for AI adoption (like Canva's week-off)

23:41 - The three layers of activating AI culture: Leadership, Champions, Foundation

26:27 - The four layers of AI integration for individuals and companies

30:40 - Personalization and making AI training engaging through familiar analogies

32:09 - Practical frameworks for using AI as an assistant, explorer, editor, and coach

34:40 - Addressing professional identity fears around AI

38:49 - The tennis analogy for embracing AI habits

41:24 - AI as a strategic partner to unlock new access and resources

43:12 - How to follow Kristen and leverage her frameworks


Guest Links

LinkedIn: https://www.linkedin.com/in/ginnkristin/

Company Website: https://www.trnsfrmaitn.com/

Personal Website: https://www.kristinginn.com/


Keywords: AI workforce adoption, human-centered AI strategy, Microsoft Copilot training, Great Copilot Journey, AI change management, AI champions program, employee AI readiness, professional identity and AI, AI adoption framework, organizational AI culture

]]>2464cc01-daf3-420f-a262-8282640e5ff4Wed, 01 Jul 2026 12:00:00 GMT<p>Are you navigating the challenges of AI implementation in your organization? Kristin Ginn shares practical insights from her experience designing programs like the Great Copilot Journey and founding trnsfrmAItn, emphasizing the importance of addressing the human side of AI adoption.</p><p><br /></p><p><b>Key Topics</b></p><p>Kristin's background and how her tennis performance mindset influences her approach to AI</p><p>The significance of human-centered AI adoption strategies</p><p>How to build organizational buy-in from top leadership to frontline employees</p><p>A four-tier framework for empowering employees with AI: AI 101, Tech 101, AI Trail, and fun, engaging training methods</p><p>The common barriers to AI acceptance, including professional identity and status quo bias</p><p>Practical tips for leveraging AI as an assistant, explorer, editor, and coach</p><p>Examples of innovative organizational approaches, such as Canva's week-long AI immersion</p><p>How AI can democratize access to strategic insights and resources</p><p>Kristin's personal journey from corporate marketing to AI consultancy</p><p><br /></p><p><b>Episode Timestamps:</b></p><p><br /></p><p>00:00 - Why employee adoption often gets overlooked in AI initiatives</p><p>02:18 - The moment Kristen realized AI's transformative potential</p><p>04:45 - Moving from marketing campaigns to AI program development</p><p>06:42 - Ensuring workforce readiness for AI tools</p><p>09:22 - How AI helped Kristen bootstrap her own business</p><p>11:58 - Overcoming confidence and bias in quitting the corporate world</p><p>14:24 - The human side of AI rollout and avoiding quiet retreats</p><p>16:44 - How to prevent token maxing from undermining AI value</p><p>19:01 - Special organizational initiatives for AI adoption (like Canva's week-off)</p><p>23:41 - The three layers of activating AI culture: Leadership, Champions, Foundation</p><p>26:27 - The four layers of AI integration for individuals and companies</p><p>30:40 - Personalization and making AI training engaging through familiar analogies</p><p>32:09 - Practical frameworks for using AI as an assistant, explorer, editor, and coach</p><p>34:40 - Addressing professional identity fears around AI</p><p>38:49 - The tennis analogy for embracing AI habits</p><p>41:24 - AI as a strategic partner to unlock new access and resources</p><p>43:12 - How to follow Kristen and leverage her frameworks</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/ginnkristin/" target="_blank">https://www.linkedin.com/in/ginnkristin/</a></p><p>Company Website: <a rel="noopener noreferrer nofollow" href="https://www.trnsfrmaitn.com/" target="_blank">https://www.trnsfrmaitn.com/</a></p><p>Personal Website: <a rel="noopener noreferrer nofollow" href="https://www.kristinginn.com/" target="_blank">https://www.kristinginn.com/</a></p><p><br /></p><p><b>Keywords:</b> AI workforce adoption, human-centered AI strategy, Microsoft Copilot training, Great Copilot Journey, AI change management, AI champions program, employee AI readiness, professional identity and AI, AI adoption framework, organizational AI culture</p>no00:45:4914She built Microsoft's Great Copilot Journey Program. Now, AI is her Co-Founder | Kristin Ginnfull<![CDATA[Goldman Sachs. BCG. Then She Walked Away to Build a Brand | Kelly He-Sun]]>In this conversation, we discover how Kelly He-Sun navigated her impressive career from Goldman Sachs to BCG in her early 20s, and how she leveraged content creation and AI tools to build her personal brand. This episode offers actionable insights on top-down communication, systematized AI integration, and career development in a rapidly evolving work landscape.

Key Topics

Transitioning from premier global institutions like Goldman Sachs and BCG to personal brand creation

The mental model of top-down communication and leading with answers in high-stakes meetings

How early career professionals can manage rapid growth and earn promotions under pressure

The strategic role of socialization and networking during university to open career pipelines

Evaluating intentional exit strategies from high-profile management consulting roles

Differentiating yourself and building an authentic personal brand in a crowded content market

Common alignment and communication pitfalls seen inside elite consulting teams

Practical applications of AI tools like Genspark and Perceptis.ai for data and slide creation

Recruiter insights for maximizing the impact of coffee chats and case interview performance

Shifting from isolated, tool-by-tool AI software adoption to comprehensive work systems


Episode Timestamps

00:00 Tool Review: Looking at Genspark's data visualization and design capabilities

01:37 Trajectory: Kelly’s early career journey from Goldman Sachs to BCG and beyond

02:24 Mental Models: The core philosophy of leading with answers and structured thinking

03:46 Under Pressure: Achieving rapid promotions and managing heavy professional workloads

04:29 Networking: Strategic advice on college socializing and building strong foundations

10:04 Balance: Kelly’s favorite methods for recharging and protecting personal time

12:00 Motivation: A deep look into Kelly's underlying work ethic and career drivers

16:00 Clean Breaks: Why leaving high-profile corporate consulting is an intentional choice

22:24 Brand Strategy: Creating standalone personal branding in a crowded media space

25:12 High Stakes: Deploying top-down communication structures during crucial meetings

28:20 Team Friction: Common hurdles coaches identify within modern consulting teams

35:10 Slide Generation: A deep-dive demonstration of Perceptis.ai for visual storytelling

40:15 Copilot Insights: Surprising operational use cases inside Microsoft 365 Copilot

42:50 Recruitment Playbook: Mastering coffee chats and structured interview preparation

46:21 Turnarounds: Common pitfalls in case interviews and converting weaknesses to strengths

51:16 Future Leadership: The changing role of systemized AI workflows in business management

59:36 Strategic Architecture: Moving beyond scattered tool usage to true systemic AI integration

64:37 Stay Connected: How to follow Kelly's latest content insights and professional advice


Guest Links:

LinkedIn: https://linkedin.com/in/kellyhe-sun

Instagram: https://instagram.com/kellycareermode

Keywords: personal branding, management consulting, BCG, Goldman Sachs, top-down communication, case interview prep, future of work, Genspark, Perceptis.ai, career development

]]>593b274d-1bd4-4d1b-9ca3-2b83641b6a01Wed, 24 Jun 2026 12:00:00 GMT<p>In this conversation, we discover how Kelly He-Sun navigated her impressive career from Goldman Sachs to BCG in her early 20s, and how she leveraged content creation and AI tools to build her personal brand. This episode offers actionable insights on top-down communication, systematized AI integration, and career development in a rapidly evolving work landscape.</p><p></p><p><b>Key Topics</b></p><p>Transitioning from premier global institutions like Goldman Sachs and BCG to personal brand creation</p><p>The mental model of top-down communication and leading with answers in high-stakes meetings</p><p>How early career professionals can manage rapid growth and earn promotions under pressure</p><p>The strategic role of socialization and networking during university to open career pipelines</p><p>Evaluating intentional exit strategies from high-profile management consulting roles</p><p>Differentiating yourself and building an authentic personal brand in a crowded content market</p><p>Common alignment and communication pitfalls seen inside elite consulting teams</p><p>Practical applications of AI tools like Genspark and <a rel="noopener noreferrer nofollow" href="http://Perceptis.ai" target="_blank">Perceptis.ai</a> for data and slide creation</p><p>Recruiter insights for maximizing the impact of coffee chats and case interview performance</p><p>Shifting from isolated, tool-by-tool AI software adoption to comprehensive work systems</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Tool Review: Looking at Genspark's data visualization and design capabilities</p><p>01:37 Trajectory: Kelly’s early career journey from Goldman Sachs to BCG and beyond</p><p>02:24 Mental Models: The core philosophy of leading with answers and structured thinking</p><p>03:46 Under Pressure: Achieving rapid promotions and managing heavy professional workloads</p><p>04:29 Networking: Strategic advice on college socializing and building strong foundations</p><p>10:04 Balance: Kelly’s favorite methods for recharging and protecting personal time</p><p>12:00 Motivation: A deep look into Kelly's underlying work ethic and career drivers</p><p>16:00 Clean Breaks: Why leaving high-profile corporate consulting is an intentional choice</p><p>22:24 Brand Strategy: Creating standalone personal branding in a crowded media space</p><p>25:12 High Stakes: Deploying top-down communication structures during crucial meetings</p><p>28:20 Team Friction: Common hurdles coaches identify within modern consulting teams</p><p>35:10 Slide Generation: A deep-dive demonstration of <a rel="noopener noreferrer nofollow" href="http://Perceptis.ai" target="_blank">Perceptis.ai</a> for visual storytelling</p><p>40:15 Copilot Insights: Surprising operational use cases inside Microsoft 365 Copilot</p><p>42:50 Recruitment Playbook: Mastering coffee chats and structured interview preparation</p><p>46:21 Turnarounds: Common pitfalls in case interviews and converting weaknesses to strengths</p><p>51:16 Future Leadership: The changing role of systemized AI workflows in business management</p><p>59:36 Strategic Architecture: Moving beyond scattered tool usage to true systemic AI integration</p><p>64:37 Stay Connected: How to follow Kelly's latest content insights and professional advice</p><p><br /></p><p><b>Guest Links:</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://linkedin.com/in/kellyhe-sun" target="_blank">https://linkedin.com/in/kellyhe-sun</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://instagram.com/kellycareermode" target="_blank">https://instagram.com/kellycareermode</a></p><p><b>Keywords:</b> personal branding, management consulting, BCG, Goldman Sachs, top-down communication, case interview prep, future of work, Genspark, <a rel="noopener noreferrer nofollow" href="http://Perceptis.ai" target="_blank">Perceptis.ai</a>, career development</p>no00:51:4913Goldman Sachs. BCG. Then She Walked Away to Build a Brand | Kelly He-Sunfull<![CDATA[Why Your Best Employees Leave — And How Artificial Intelligence Can Predict It First | Tysha Tolbert]]>In this conversation, Tysha Tolbert explores the critical intersection of artificial intelligence and human-centric coaching to transform workplace culture and organizational health. As a workforce futurist and the founder of pondHR, Ty shares how combining data-driven AI insights with personalized coaching can detect early signals of burnout, counter employee disengagement, and foster a deep sense of belonging. The discussion highlights practical strategies for building trust, establishing shared core values, and moving from reactive human resources management to proactive workplace intelligence.


Key Topics 

The evolution of workplace AI in recognizing early patterns of employee burnout 

Blending advanced AI sentiment tracking with human coaching to drive culture change 

Why fostering a true sense of belonging serves as a primary driver for talent retention 

Ty’s professional pivot from complex hardware IT sales to founding a human-centric startup 

Fostering psychological safety, addressing workplace trauma, and aligning team core values Proactive, real-time organizational intelligence versus traditional reactive management 

How machine learning uncovers hidden employee struggles like care management issues 

The role of leadership in deploying empathetic technology to reduce chronic work stress 

Utilizing comprehensive workplace intake processes and data to measure baseline culture 

Overcoming remote and hybrid team isolation through intentional digital connection


Episode Timestamps 

00:00 Reinventing Work: Blending predictive artificial intelligence with human connection 

03:20 Career Pivot: Ty Tolbert’s evolution from IT tech sales to workforce futurist 

05:53 Human Centered Tech: Solving complex organizational problems with digital tools 

08:47 Beyond the Office: How personal passions like coaching and music shape leadership 

15:22 People First: Transitioning from corporate hardware pipelines to career coaching 

18:33 Resilient Infrastructure: Building enterprise teams around belonging, values, and trust 

22:53 The Retention Imperative: Why internal connectedness dictates organizational success 

32:05 The pondHR Framework: How an AI-human model supports holistic company wellness 

36:17 Early Detection: Using predictive data to intercept systemic burnout before escalation 

40:07 Holistic Visibility: Identifying outside personal pressures that impact team output 

45:06 Intake and Governance: How detailed cultural metrics establish clear team baselines 

52:44 Hybrid Barriers: Overcoming fragmented connection within distributed workforces


Guest Links

Website- https://www.ponder.ai/

LinkedIn- https://www.linkedin.com/in/tytolbert


Keywords: workplace culture, employee engagement, pondHR, human centric AI, burnout detection, future of work, organizational health, talent retention, workplace empathy, proactive management


]]>1d5d2df8-8238-4e60-bacc-be97a7af38e9Wed, 17 Jun 2026 10:00:00 GMT<p>In this conversation, Tysha Tolbert explores the critical intersection of artificial intelligence and human-centric coaching to transform workplace culture and organizational health. As a workforce futurist and the founder of pondHR, Ty shares how combining data-driven AI insights with personalized coaching can detect early signals of burnout, counter employee disengagement, and foster a deep sense of belonging. The discussion highlights practical strategies for building trust, establishing shared core values, and moving from reactive human resources management to proactive workplace intelligence.</p><p><br /></p><p><b>Key Topics </b></p><p>The evolution of workplace AI in recognizing early patterns of employee burnout </p><p>Blending advanced AI sentiment tracking with human coaching to drive culture change </p><p>Why fostering a true sense of belonging serves as a primary driver for talent retention </p><p>Ty’s professional pivot from complex hardware IT sales to founding a human-centric startup </p><p>Fostering psychological safety, addressing workplace trauma, and aligning team core values Proactive, real-time organizational intelligence versus traditional reactive management </p><p>How machine learning uncovers hidden employee struggles like care management issues </p><p>The role of leadership in deploying empathetic technology to reduce chronic work stress </p><p>Utilizing comprehensive workplace intake processes and data to measure baseline culture </p><p>Overcoming remote and hybrid team isolation through intentional digital connection</p><p><br /></p><p><b>Episode Timestamps </b></p><p>00:00 Reinventing Work: Blending predictive artificial intelligence with human connection </p><p>03:20 Career Pivot: Ty Tolbert’s evolution from IT tech sales to workforce futurist </p><p>05:53 Human Centered Tech: Solving complex organizational problems with digital tools </p><p>08:47 Beyond the Office: How personal passions like coaching and music shape leadership </p><p>15:22 People First: Transitioning from corporate hardware pipelines to career coaching </p><p>18:33 Resilient Infrastructure: Building enterprise teams around belonging, values, and trust </p><p>22:53 The Retention Imperative: Why internal connectedness dictates organizational success </p><p>32:05 The pondHR Framework: How an AI-human model supports holistic company wellness </p><p>36:17 Early Detection: Using predictive data to intercept systemic burnout before escalation </p><p>40:07 Holistic Visibility: Identifying outside personal pressures that impact team output </p><p>45:06 Intake and Governance: How detailed cultural metrics establish clear team baselines </p><p>52:44 Hybrid Barriers: Overcoming fragmented connection within distributed workforces</p><p><br /></p><p><b>Guest Links</b></p><p><b>Website- </b><a rel="noopener noreferrer nofollow" href="https://www.ponder.ai/" target="_blank">https://www.ponder.ai/</a></p><p>LinkedIn- <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/tytolbert" target="_blank">https://www.linkedin.com/in/tytolbert</a></p><p><br /></p><p><b>Keywords: </b>workplace culture, employee engagement, pondHR, human centric AI, burnout detection, future of work, organizational health, talent retention, workplace empathy, proactive management</p><p><br /></p>no00:55:3112Why Your Best Employees Leave — And How Artificial Intelligence Can Predict It First | Tysha Tolbertfull<![CDATA[Hyper Adaptive: How to Rewire Your Entire Organization for AI | Melissa Reeve]]>In this episode, Melissa Reeve shares insights on transforming company cultures, workflows, and leadership practices to adapt to rapid technological change. She breaks down how organizations can move beyond outdated operating systems to thrive in the era of AI, offering practical frameworks and strategies for leaders committed to future-proofing their organizations.

Key Topics

Why current company systems slow down innovation, exemplified by Blockbuster's missed opportunity with Netflix

How the Toyota production system exemplifies effective organizational adaptation

The concept of the 1911 operating system and why it hampers digital and AI transformation

Strategies for leaders to build AI literacy and establish a sustainable learning flywheel

The Focus Framework: a tool for prioritizing high-impact AI initiatives

The AI Learning Flywheel: creating a self-sustaining culture of continuous AI learning

The future of work: shifting from a career ladder to a portfolio of experiences

How organizational structure needs to evolve to support AI-native operating models

Episode Timestamps

00:00 The need to rewire corporate systems and move past outdated tools

00:56 Adaptive business lessons from Blockbuster and Toyota

01:56 Transitioning from "random acts of AI" to long-term strategic planning

05:46 Navigating organizational agility and shifting tasks from manual execution to strategic design

08:27 The impact of AI on work intensity, quality, and workplace cognitive load

10:22 How AI acts as a forcing function for delayed digital transformations

14:08 Introducing the FOCUS Framework to select and prioritize high-impact AI projects

16:31 The importance of incremental, piece-by-piece AI deployment

18:56 The AI Learning Flywheel: Turning social learning into structured knowledge hubs

27:34 Establishing data governance, guardrails, and continuous process improvement

33:01 Managing the hidden costs of specialized talent scarcity and the operational impact of layoffs

39:12 Navigating the J-curve of adoption, performance gaps, and setting strategic AI North Stars

43:31 Shifting focus from merely "installing" software to actively investing in processes and people

48:54 Building a future-ready workforce around innovation circles and a portfolio mindset


Guest Links

LinkedIn: https://www.linkedin.com/in/melissamreeve

Instagram: https://www.instagram.com/melissamreeve/

Tiktok: https://www.tiktok.com/@hyperadaptive_solutions

Website: https://www.melissareeve.com/

Hypeadaptive Book: https://www.amazon.com/Hyperadaptive-Rewiring-Enterprise-Become-AI-Native/dp/1966280262

]]>0d1f1c08-961b-4ec1-9244-8dbb80fbdedaWed, 10 Jun 2026 10:00:00 GMT<p>In this episode, Melissa Reeve shares insights on transforming company cultures, workflows, and leadership practices to adapt to rapid technological change. She breaks down how organizations can move beyond outdated operating systems to thrive in the era of AI, offering practical frameworks and strategies for leaders committed to future-proofing their organizations.</p><p><b>Key Topics</b></p><p>Why current company systems slow down innovation, exemplified by Blockbuster's missed opportunity with Netflix</p><p>How the Toyota production system exemplifies effective organizational adaptation</p><p>The concept of the 1911 operating system and why it hampers digital and AI transformation</p><p>Strategies for leaders to build AI literacy and establish a sustainable learning flywheel</p><p>The Focus Framework: a tool for prioritizing high-impact AI initiatives</p><p>The AI Learning Flywheel: creating a self-sustaining culture of continuous AI learning</p><p>The future of work: shifting from a career ladder to a portfolio of experiences</p><p>How organizational structure needs to evolve to support AI-native operating models</p><p><b>Episode Timestamps</b></p><p><b>00:00</b> The need to rewire corporate systems and move past outdated tools</p><p><b>00:56</b> Adaptive business lessons from Blockbuster and Toyota</p><p><b>01:56</b> Transitioning from "random acts of AI" to long-term strategic planning</p><p><b>05:46</b> Navigating organizational agility and shifting tasks from manual execution to strategic design</p><p><b>08:27</b> The impact of AI on work intensity, quality, and workplace cognitive load</p><p><b>10:22</b> How AI acts as a forcing function for delayed digital transformations</p><p><b>14:08</b> Introducing the FOCUS Framework to select and prioritize high-impact AI projects</p><p><b>16:31</b> The importance of incremental, piece-by-piece AI deployment</p><p><b>18:56</b> The AI Learning Flywheel: Turning social learning into structured knowledge hubs</p><p><b>27:34</b> Establishing data governance, guardrails, and continuous process improvement</p><p><b>33:01</b> Managing the hidden costs of specialized talent scarcity and the operational impact of layoffs</p><p><b>39:12</b> Navigating the J-curve of adoption, performance gaps, and setting strategic AI North Stars</p><p><b>43:31</b> Shifting focus from merely "installing" software to actively investing in processes and people</p><p><b>48:54</b> Building a future-ready workforce around innovation circles and a portfolio mindset</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/melissamreeve" target="_blank">https://www.linkedin.com/in/melissamreeve</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/melissamreeve/" target="_blank">https://www.instagram.com/melissamreeve/</a></p><p>Tiktok: <a rel="noopener noreferrer nofollow" href="https://www.tiktok.com/@hyperadaptive_solutions" target="_blank">https://www.tiktok.com/@hyperadaptive_solutions</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.melissareeve.com/" target="_blank">https://www.melissareeve.com/</a></p><p>Hypeadaptive Book: <a rel="noopener noreferrer nofollow" href="https://www.amazon.com/Hyperadaptive-Rewiring-Enterprise-Become-AI-Native/dp/1966280262" target="_blank">https://www.amazon.com/Hyperadaptive-Rewiring-Enterprise-Become-AI-Native/dp/1966280262</a></p>no00:47:5511Hyper Adaptive: How to Rewire Your Entire Organization for AI | Melissa Reevefull<![CDATA[The Self-Made AI Champion: How She Built Her Career by Saying Yes to the Scary Stuff | Ashley Gross]]>In this conversation, Ashley Gross shares her journey from being a self-described workaholic to becoming a leading AI advocate. She breaks down how she leveraged artificial intelligence to help scale business revenue from $90 million to $115 million while simultaneously reclaiming her time. The discussion covers her proprietary AI Impact Alignment system, practical sourcing tools for LinkedIn, and how solopreneurs and small teams can utilize automation to boost efficiency without losing the essential human element.


Key Topics

Moving away from the hustle culture myth that equates raw hours to financial success

How Ashley applied her computer science background to drive massive revenue growth

Implementing the AI Impact Alignment system to integrate technology into team structures

Case studies of increasing profitability and scaling revenue without cutting corporate payroll

Highly accessible entry points for solopreneurs and small teams to adopt automated tools

Positioning yourself strategically as an internal AI Subject Matter Expert for career growth

Building a customized talent sourcing tool using compliant LinkedIn integrations

Ashley's predictions on future workforce trends and evolving human-AI collaboration

Managing AI hallucinations and the critical importance of keeping a human in the loop


Episode Timestamps

00:00 Rethinking Hard Work: Achieving strategic success through automation

03:25 Creative Roots: Ashley's early development projects and coding background

08:35 The Turning Point: Realizing traditional corporate work structures are broken

09:10 Strategic Systems: Introducing the AI Impact Alignment framework

12:25 Scaling Revenue: The tactical playbook behind a $25M growth surge

15:26 Career Leverage: How to position yourself as an AI Subject Matter Expert

27:19 Lean Operations: Low friction AI adoption tactics for small teams and solopreneurs

42:28 Tool Building: Creating custom sourcing workflows with respectful LinkedIn integration

57:34 The Future of Work: Long term trends in human and machine collaboration

60:29 Governance and Quality: Detecting hallucinations and keeping humans in the loop


Guest Links

LinkedIn: https://www.linkedin.com/in/theashleygross/

Website: https://www.theashleygross.com/

Instagram: https://www.instagram.com/theashleygross/

YouTube: https://www.youtube.com/@theashleygross


Keywords: AI strategy, Ashley Gross, revenue growth, AI Impact Alignment, future of work, solopreneur automation, LinkedIn sourcing, human in the loop, corporate innovation, workforce efficiency

]]>572a9832-0888-4a35-8464-407c72b531dbWed, 03 Jun 2026 10:00:00 GMT<p>In this conversation, Ashley Gross shares her journey from being a self-described workaholic to becoming a leading AI advocate. She breaks down how she leveraged artificial intelligence to help scale business revenue from $90 million to $115 million while simultaneously reclaiming her time. The discussion covers her proprietary AI Impact Alignment system, practical sourcing tools for LinkedIn, and how solopreneurs and small teams can utilize automation to boost efficiency without losing the essential human element.</p><p><br /></p><p><b>Key Topics</b></p><p>Moving away from the hustle culture myth that equates raw hours to financial success</p><p>How Ashley applied her computer science background to drive massive revenue growth</p><p>Implementing the AI Impact Alignment system to integrate technology into team structures</p><p>Case studies of increasing profitability and scaling revenue without cutting corporate payroll</p><p>Highly accessible entry points for solopreneurs and small teams to adopt automated tools</p><p>Positioning yourself strategically as an internal AI Subject Matter Expert for career growth</p><p>Building a customized talent sourcing tool using compliant LinkedIn integrations</p><p>Ashley's predictions on future workforce trends and evolving human-AI collaboration</p><p>Managing AI hallucinations and the critical importance of keeping a human in the loop</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Rethinking Hard Work: Achieving strategic success through automation</p><p>03:25 Creative Roots: Ashley's early development projects and coding background</p><p>08:35 The Turning Point: Realizing traditional corporate work structures are broken</p><p>09:10 Strategic Systems: Introducing the AI Impact Alignment framework</p><p>12:25 Scaling Revenue: The tactical playbook behind a $25M growth surge</p><p>15:26 Career Leverage: How to position yourself as an AI Subject Matter Expert</p><p>27:19 Lean Operations: Low friction AI adoption tactics for small teams and solopreneurs</p><p>42:28 Tool Building: Creating custom sourcing workflows with respectful LinkedIn integration</p><p>57:34 The Future of Work: Long term trends in human and machine collaboration</p><p>60:29 Governance and Quality: Detecting hallucinations and keeping humans in the loop</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/theashleygross/" target="_blank"> https://www.linkedin.com/in/theashleygross/</a></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://www.theashleygross.com/" target="_blank"> https://www.theashleygross.com/</a></p><p>Instagram:<a rel="noopener noreferrer nofollow" href="https://www.instagram.com/theashleygross/" target="_blank"> https://www.instagram.com/theashleygross/</a></p><p>YouTube:<a rel="noopener noreferrer nofollow" href="https://www.youtube.com/@theashleygross" target="_blank"> https://www.youtube.com/@theashleygross</a></p><p><br /><b>Keywords: </b>AI strategy, Ashley Gross, revenue growth, AI Impact Alignment, future of work, solopreneur automation, LinkedIn sourcing, human in the loop, corporate innovation, workforce efficiency</p>no00:45:0310The Self-Made AI Champion: How She Built Her Career by Saying Yes to the Scary Stuff | Ashley Grossfull<![CDATA[Beyond the Search Bar: How AI is Redefining Visibility for Small Business | Maria Elena Duron]]>In this conversation, Maria Elena Duron explores how small business owners can navigate digital transformation and rapid algorithmic shifts without losing their human touch. As a national Grow with Google Coach and founder of the Smart Brand System, she breaks down complex tech changes into clear marketing plans. The discussion covers how to balance AI tools with secure data governance, preserve a founder's authentic story, and optimize content for modern, AI-driven search environments.


Key Topics

How AI and changing search algorithms affect small business local visibility

Translating advanced tech updates into highly actionable growth plans

Why relationships and personal customer service cannot be replaced by automation

Navigating modern retail changes like cashierless environments and dynamic pricing

The necessity of personal data organization, cybersecurity, and secure governance

Using creative hobbies and a digital detox to reset strategic business focus

How small businesses can adapt content for AI engines while preserving their original voice

Overcoming search hurdles by optimizing business profiles, YouTube, and LinkedIn

Deploying an AI Readiness Kit as a first step to centralize company data


Episode Timestamps

00:00 The algorithmic race small business owners face in search visibility

00:29 Maria Elena's background and translating tech into simple plans

01:06 The transition from traditional retail to digital innovations

03:12 The accessibility of large language models for everyday business use

04:37 Protecting the human customer service elements AI cannot replace

05:05 Navigating future retail shifts like cashierless environments

07:49 Using Renaissance Fairs as a digital detox and creative reset

13:41 Securing data usage with proper governance and human oversight

14:10 Preserving the authentic stories of legacy business founders

16:32 Maria Elena’s decade long journey as a Grow with Google trainer

19:20 The importance of controlling corporate data access and permissions

25:23 Common search and local visibility challenges modern businesses encounter

28:02 Managing internal AI tools and steering clear of shadow AI practices

29:31 The future of search: Evolving behaviors and maintaining uniqueness

32:19 Adapting SEO: Optimizing business profiles, YouTube, and LinkedIn

38:26 Deploying an AI Readiness Kit to gather and organize core data

43:42 Measuring the digital divide and manual operations in legacy industries

47:30 Moving toward human centered tasks as agentic AI manages busywork


Guest Links

LinkedIn: https://www.linkedin.com/in/mariaduron/

Website: https://www.smartbrandsystem.com/

Instagram: https://www.instagram.com/marketingcoachmaria/

YouTube: https://www.youtube.com/c/MariaElenaDuron


Keywords: AI for small business, Grow with Google, Smart Brand System, digital transformation, local SEO, future of search, artificial intelligence, content strategy, data governance

]]>b495a8c0-840f-4ce7-babc-461468d4a637Wed, 27 May 2026 10:00:00 GMT<p>In this conversation, Maria Elena Duron explores how small business owners can navigate digital transformation and rapid algorithmic shifts without losing their human touch. As a national Grow with Google Coach and founder of the Smart Brand System, she breaks down complex tech changes into clear marketing plans. The discussion covers how to balance AI tools with secure data governance, preserve a founder's authentic story, and optimize content for modern, AI-driven search environments.</p><p><br /></p><p><b>Key Topics</b></p><p>How AI and changing search algorithms affect small business local visibility</p><p>Translating advanced tech updates into highly actionable growth plans</p><p>Why relationships and personal customer service cannot be replaced by automation</p><p>Navigating modern retail changes like cashierless environments and dynamic pricing</p><p>The necessity of personal data organization, cybersecurity, and secure governance</p><p>Using creative hobbies and a digital detox to reset strategic business focus</p><p>How small businesses can adapt content for AI engines while preserving their original voice</p><p>Overcoming search hurdles by optimizing business profiles, YouTube, and LinkedIn</p><p>Deploying an AI Readiness Kit as a first step to centralize company data</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 The algorithmic race small business owners face in search visibility</p><p>00:29 Maria Elena's background and translating tech into simple plans</p><p>01:06 The transition from traditional retail to digital innovations</p><p>03:12 The accessibility of large language models for everyday business use</p><p>04:37 Protecting the human customer service elements AI cannot replace</p><p>05:05 Navigating future retail shifts like cashierless environments</p><p>07:49 Using Renaissance Fairs as a digital detox and creative reset</p><p>13:41 Securing data usage with proper governance and human oversight</p><p>14:10 Preserving the authentic stories of legacy business founders</p><p>16:32 Maria Elena’s decade long journey as a Grow with Google trainer</p><p>19:20 The importance of controlling corporate data access and permissions</p><p>25:23 Common search and local visibility challenges modern businesses encounter</p><p>28:02 Managing internal AI tools and steering clear of shadow AI practices</p><p>29:31 The future of search: Evolving behaviors and maintaining uniqueness</p><p>32:19 Adapting SEO: Optimizing business profiles, YouTube, and LinkedIn</p><p>38:26 Deploying an AI Readiness Kit to gather and organize core data</p><p>43:42 Measuring the digital divide and manual operations in legacy industries</p><p>47:30 Moving toward human centered tasks as agentic AI manages busywork</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/mariaduron/" target="_blank">https://www.linkedin.com/in/mariaduron/</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.smartbrandsystem.com/" target="_blank">https://www.smartbrandsystem.com/</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/marketingcoachmaria/" target="_blank">https://www.instagram.com/marketingcoachmaria/</a></p><p>YouTube:<a rel="noopener noreferrer nofollow" href="https://www.google.com/search?q=https://twitter.com/mariaduron" target="_blank"> </a><a rel="noopener noreferrer nofollow" href="https://www.youtube.com/c/MariaElenaDuron" target="_blank">https://www.youtube.com/c/MariaElenaDuron</a></p><p><br /><b>Keywords:</b> AI for small business, Grow with Google, Smart Brand System, digital transformation, local SEO, future of search, artificial intelligence, content strategy, data governance</p>no00:51:449Beyond the Search Bar: How AI is Redefining Visibility for Small Business | Maria Elena Duronfull<![CDATA[The Recruiter Who Says Resumes Don't Matter & Beat the Giants with a 2-Person Firm | Bryan Lee]]>Bryan Lee


Bryan Lee, founder of Subgraph, shares innovative strategies for identifying and recruiting elite technical talent. Drawing on his background in competitive basketball, Bryan discusses systems thinking in recruitment, leveraging AI to compete with industry giants, and why full stack generalists are increasingly valuable over narrow specialists.


Key Topics

Why traditional hiring processes overlook elite technical talent

Applying competitive sports thinking to corporate team building

Using AI and market mapping tools to build candidate signals faster

The shift from niche expertise to full stack generalists

Building through the draft: nurturing junior talent early

Moving from resumes to proof of skill via projects and contributions

How recruiters can act as strategic advisors

Streamlining interviews for faster, smarter hiring decisions


Episode Timestamps

00:00 Rethinking hiring and elite talent pools

01:17 Basketball background and modern team building

02:42 Systems thinking in recruitment

05:15 Leveraging AI to compete with larger firms

06:44 The shift to full stack generalists

09:57 Continuous candidate and hiring manager engagement

11:18 Core soft skills: communication, curiosity, and passion

12:32 Project-based proof of skill over resumes

16:45 The advisory role of recruiters

20:18 Interview processes built around real-world problem solving

26:33 AI's future in talent acquisition

30:37 Nurturing talent early to reduce recruitment costs

39:19 Technological trends shaping interpersonal skills


Guest Links

LinkedIn: https://www.linkedin.com/in/bryan-lee-tech-recruiter

Website: https://subgraph.tech


Keywords: AI in recruitment, technical hiring, talent acquisition, systems thinking, full stack developers, future of work, candidate sourcing, team building

]]>5f49bcab-7188-4c58-ad8b-9ade0e4b19edWed, 20 May 2026 10:00:00 GMT<p><b>Bryan Lee</b></p><p><br /></p><p>Bryan Lee, founder of Subgraph, shares innovative strategies for identifying and recruiting elite technical talent. Drawing on his background in competitive basketball, Bryan discusses systems thinking in recruitment, leveraging AI to compete with industry giants, and why full stack generalists are increasingly valuable over narrow specialists.</p><p><br /></p><p><b>Key Topics</b></p><p>Why traditional hiring processes overlook elite technical talent</p><p>Applying competitive sports thinking to corporate team building</p><p>Using AI and market mapping tools to build candidate signals faster</p><p>The shift from niche expertise to full stack generalists</p><p>Building through the draft: nurturing junior talent early</p><p>Moving from resumes to proof of skill via projects and contributions</p><p>How recruiters can act as strategic advisors</p><p>Streamlining interviews for faster, smarter hiring decisions</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Rethinking hiring and elite talent pools</p><p>01:17 Basketball background and modern team building</p><p>02:42 Systems thinking in recruitment</p><p>05:15 Leveraging AI to compete with larger firms</p><p>06:44 The shift to full stack generalists</p><p>09:57 Continuous candidate and hiring manager engagement</p><p>11:18 Core soft skills: communication, curiosity, and passion</p><p>12:32 Project-based proof of skill over resumes</p><p>16:45 The advisory role of recruiters</p><p>20:18 Interview processes built around real-world problem solving</p><p>26:33 AI's future in talent acquisition</p><p>30:37 Nurturing talent early to reduce recruitment costs</p><p>39:19 Technological trends shaping interpersonal skills</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bryan-lee-tech-recruiter" target="_blank">https://www.linkedin.com/in/bryan-lee-tech-recruiter</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://subgraph.tech" target="_blank">https://subgraph.tech</a></p><p><br /></p><p><b>Keywords:</b> AI in recruitment, technical hiring, talent acquisition, systems thinking, full stack developers, future of work, candidate sourcing, team building</p>no00:49:068The Recruiter Who Says Resumes Don't Matter & Beat the Giants with a 2-Person Firm | Bryan Leefull<![CDATA[The Generalist’s Revenge: How AI is Leveling the Professional Playing Field | Tim Cakir]]>Discover how AI can be transformed from a feared disruptor into a collaborative partner that boosts productivity, innovation, and human potential. Tim Cakir shares practical insights, success stories, and the ADOPT method to operationalize AI effectively.


Key Topics

  • The common pitfalls in AI projects and how most fail to generate real value
  • Turning teams into AI operators through the adopt method
  • The importance of treating AI as a true partner, not just a tool
  • Practical examples of AI-driven transformations in sales, marketing, and operations
  • Reducing the number of tools needed for business efficiency with AI
  • Behavior change programs to operationalize AI in organizations
  • The 66-day habit formation concept for integrating AI into daily work
  • The future of work: a shift towards higher cognitive tasks and human-AI collaboration
  • The impact of AI on education and lifelong learning
  • Building emotional intelligence and human connection in an AI-enhanced world
  • Strategies for future-proofing skills: systemic thinking, taste, and problem-solving
  • The vision of a future where agents and AI enable more meaningful human experiences

Episode Timestamps
00:00 - Why most AI projects fail and how to turn AI into a competitive advantage

02:00 - The adopt method: five steps to integrate AI smoothly into teams

05:30 - Real-world success stories of AI transforming sales reporting and field work

08:45 - How reducing tools and centralizing data unleashes AI potential

12:00 - Behavior change programs: training humans to leverage AI effectively

15:15 - Examples of AI automations that cut hours of manual work in sales and marketing

19:30 - The importance of cross-team learning and integrated skills development

22:45 - The 66-day habit: how to build lasting AI integration habits

27:00 - The future of work: more human, more outdoor, more creative with AI support

30:15 - AI and the evolution of education: interactive, personalized learning

34:00 - The role of taste, first principles, and curiosity as future-proof skills

37:45 - Building emotional intelligence and human connection in an AI world

41:05 - The long-term vision: AI enabling better lives, not just better work

44:30 - The architect’s perspective: designing the future of work and life with AI

46:55 - Practical skills for future resilience: systems thinking, curiosity, and problem-solving

50:15 - How to follow Tim, join AI for Better Work, and start your AI journey today

Connect with Tim:

LinkedIn - https://www.linkedin.com/in/timcakir/

Website - https://www.timcakir.com/

Instagram - https://www.instagram.com/timcakir/ 

YouTube - https://www.youtube.com/@timcakir 

TikTok - https://www.tiktok.com/@tim_cakir 

]]>1743f82f-885d-4316-bbbb-639cfd9995c2Wed, 13 May 2026 10:00:00 GMT<p>Discover how AI can be transformed from a feared disruptor into a collaborative partner that boosts productivity, innovation, and human potential. Tim Cakir shares practical insights, success stories, and the ADOPT method to operationalize AI effectively.</p><p><br /></p><p><b>Key Topics</b></p><ul><li>The common pitfalls in AI projects and how most fail to generate real value</li><li>Turning teams into AI operators through the adopt method</li><li>The importance of treating AI as a true partner, not just a tool</li><li>Practical examples of AI-driven transformations in sales, marketing, and operations</li><li>Reducing the number of tools needed for business efficiency with AI</li><li>Behavior change programs to operationalize AI in organizations</li><li>The 66-day habit formation concept for integrating AI into daily work</li><li>The future of work: a shift towards higher cognitive tasks and human-AI collaboration</li><li>The impact of AI on education and lifelong learning</li><li>Building emotional intelligence and human connection in an AI-enhanced world</li><li>Strategies for future-proofing skills: systemic thinking, taste, and problem-solving</li><li>The vision of a future where agents and AI enable more meaningful human experiences<p></p></li></ul><p><b>Episode Timestamps</b><br />00:00 - Why most AI projects fail and how to turn AI into a competitive advantage</p><p>02:00 - The adopt method: five steps to integrate AI smoothly into teams</p><p>05:30 - Real-world success stories of AI transforming sales reporting and field work</p><p>08:45 - How reducing tools and centralizing data unleashes AI potential</p><p>12:00 - Behavior change programs: training humans to leverage AI effectively</p><p>15:15 - Examples of AI automations that cut hours of manual work in sales and marketing</p><p>19:30 - The importance of cross-team learning and integrated skills development</p><p>22:45 - The 66-day habit: how to build lasting AI integration habits</p><p>27:00 - The future of work: more human, more outdoor, more creative with AI support</p><p>30:15 - AI and the evolution of education: interactive, personalized learning</p><p>34:00 - The role of taste, first principles, and curiosity as future-proof skills</p><p>37:45 - Building emotional intelligence and human connection in an AI world</p><p>41:05 - The long-term vision: AI enabling better lives, not just better work</p><p>44:30 - The architect’s perspective: designing the future of work and life with AI</p><p>46:55 - Practical skills for future resilience: systems thinking, curiosity, and problem-solving</p><p>50:15 - How to follow Tim, join AI for Better Work, and start your AI journey today <br /></p><p><b>Connect with Tim:</b></p><p></p><p><b>LinkedIn - </b><a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/timcakir/" target="_blank"><b>https://www.linkedin.com/in/timcakir/</b></a></p><p><b>Website - </b><a rel="noopener noreferrer nofollow" href="https://www.timcakir.com/" target="_blank"><b>https://www.timcakir.com/</b></a></p><p><b>Instagram - </b><a rel="noopener noreferrer nofollow" href="https://www.instagram.com/timcakir/" target="_blank"><b>https://www.instagram.com/timcakir/</b></a><b> </b></p><p><b>YouTube - </b><a rel="noopener noreferrer nofollow" href="https://www.youtube.com/@timcakir" target="_blank"><b>https://www.youtube.com/@timcakir</b></a><b> </b></p><p><b>TikTok - </b><a rel="noopener noreferrer nofollow" href="https://www.tiktok.com/@tim_cakir" target="_blank"><b>https://www.tiktok.com/@tim_cakir</b></a><b> </b></p>no00:50:337The Generalist’s Revenge: How AI is Leveling the Professional Playing Field | Tim Cakirfull<![CDATA[The Super Age: What Happens When Seniors Outnumber Children? It's Time To Prepare | Bradley Schurman]]>In this conversation, Bradley Schurman introduces the Geography of Prosperity, a free tool designed to help individuals and organizations navigate the demographic shifts of the "Super Age." Bradley explains how the tool ranks cities across five key dimensions to measure community potential and economic resilience. The discussion explores how aging workforces and geographic trends are reshaping the future of work, providing a data driven look at which regions are prepared to thrive in an era of rapid social and technological change.


Key Topics

The Geography of Prosperity as a free and accessible tool for city ranking

How the tool measures community health across five key dimensions

Understanding the "Super Age" and its impact on global employment trends

Using data for strategic site selection and community planning

How geography influences economic prosperity and individual opportunity

The role of the Geography of Prosperity index as a foundation for Bradley’s upcoming book

How aging populations and AI are intersecting to redefine the future of work

Comparing national city rankings to understand regional strengths and weaknesses

The shift in global perspectives regarding aging workforces and economic stability


Episode Timestamps

00:00 The Shift to a Super Age: Understanding demographic change

00:57 The Aging Workforce: Employment trends and economic impact

11:46 Geography of Prosperity: How the tool and index work

29:47 Future of Work: The intersection of human aging and AI

40:39 Global Perspectives: International outlooks on aging populations


Guest Links

LinkedIn: https://www.linkedin.com/in/bradleyschurman/

Website: https://geographyofprosperity.com

TikTok: https://www.tiktok.com/@bradleyschurman

Instagram: https://www.instagram.com/bradley.schurman/

YouTube: https://www.youtube.com/@bradleyschurman


Keywords: Geography of Prosperity, city ranking, community development, free tool, site selection, future of work, demographic shifts, Super Age

]]>80150a4a-175f-4d70-9644-63e684b9bb53Wed, 06 May 2026 10:00:00 GMT<p>In this conversation, Bradley Schurman introduces the Geography of Prosperity, a free tool designed to help individuals and organizations navigate the demographic shifts of the "Super Age." Bradley explains how the tool ranks cities across five key dimensions to measure community potential and economic resilience. The discussion explores how aging workforces and geographic trends are reshaping the future of work, providing a data driven look at which regions are prepared to thrive in an era of rapid social and technological change.</p><p><br /></p><p><b>Key Topics</b></p><p>The Geography of Prosperity as a free and accessible tool for city ranking</p><p>How the tool measures community health across five key dimensions</p><p>Understanding the "Super Age" and its impact on global employment trends</p><p>Using data for strategic site selection and community planning</p><p>How geography influences economic prosperity and individual opportunity</p><p>The role of the Geography of Prosperity index as a foundation for Bradley’s upcoming book</p><p>How aging populations and AI are intersecting to redefine the future of work</p><p>Comparing national city rankings to understand regional strengths and weaknesses</p><p>The shift in global perspectives regarding aging workforces and economic stability</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 The Shift to a Super Age: Understanding demographic change</p><p>00:57 The Aging Workforce: Employment trends and economic impact</p><p>11:46 Geography of Prosperity: How the tool and index work</p><p>29:47 Future of Work: The intersection of human aging and AI</p><p>40:39 Global Perspectives: International outlooks on aging populations</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bradleyschurman/" target="_blank">https://www.linkedin.com/in/bradleyschurman/</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://geographyofprosperity.com" target="_blank">https://geographyofprosperity.com</a></p><p>TikTok: <a rel="noopener noreferrer nofollow" href="https://www.tiktok.com/@bradleyschurman" target="_blank">https://www.tiktok.com/@bradleyschurman</a></p><p>Instagram: <a rel="noopener noreferrer nofollow" href="https://www.instagram.com/bradley.schurman/" target="_blank">https://www.instagram.com/bradley.schurman/</a></p><p>YouTube: <a rel="noopener noreferrer nofollow" href="https://www.youtube.com/@bradleyschurman" target="_blank">https://www.youtube.com/@bradleyschurman</a></p><p><br /></p><p><b>Keywords:</b> Geography of Prosperity, city ranking, community development, free tool, site selection, future of work, demographic shifts, Super Age</p>no00:52:356The Super Age: What Happens When Seniors Outnumber Children? It's Time To Prepare | Bradley Schurmanfull<![CDATA[Your Team is Using AI Right Now And It's Not Helping You | Chris Daigle]]>In this conversation, Chris Daigle explores how companies can effectively prepare their executive teams for the integration of artificial intelligence. He emphasizes that a successful AI strategy is impossible without a shared baseline understanding across all business domains. Chris discusses the common hurdles organizations face, including human friction and the gap between AI's potential and its actual utility. By focusing on a structured approach to executive training and risk management, he explains how leaders can move past pilot projects and create a culture of continuous adaptation in an ever-evolving technological landscape.


Key Topics

AI training for executive leadership teams

Building a unified understanding of AI tools and organizational risks

Developing comprehensive AI strategies across various business domains

Overcoming human friction and the burnout associated with AI implementation

The 90 day roadmap for making AI effective within a company

Identifying top impediments: risk assessment, use cases, and expertise gaps

The necessity of continuous training as AI tools evolve

Transitioning workforces to adapt to new technological realities


Episode Timestamps

00:00 Challenges in proving AI effectiveness and managing burnout

00:09 Introduction to the 90 day step-by-step AI implementation plan

00:15 Analyzing the gap between AI capabilities and actual human usage

00:42 Identifying top organizational impediments and AI risks

01:02 Why continuous adaptation is required after initial implementation

01:29 Helping employees transition and adapt to evolving technologies


Guest Links

LinkedIn: https://www.linkedin.com/in/doctordaigle

Website: https://chiefaiofficer.com/

Podcast: https://usingaiatwork.com/


Keywords: AI, Future of Work, Executive Training, Business Strategy, AI Risks, AI Tools, AI adoption, leadership, organizational change, productivity


]]>b5800e62-8cb0-4519-92f9-0eb3276c2620Wed, 29 Apr 2026 03:30:00 GMT<p>In this conversation, Chris Daigle explores how companies can effectively prepare their executive teams for the integration of artificial intelligence. He emphasizes that a successful AI strategy is impossible without a shared baseline understanding across all business domains. Chris discusses the common hurdles organizations face, including human friction and the gap between AI's potential and its actual utility. By focusing on a structured approach to executive training and risk management, he explains how leaders can move past pilot projects and create a culture of continuous adaptation in an ever-evolving technological landscape.</p><p><br /></p><p><b>Key Topics</b></p><p>AI training for executive leadership teams</p><p>Building a unified understanding of AI tools and organizational risks</p><p>Developing comprehensive AI strategies across various business domains</p><p>Overcoming human friction and the burnout associated with AI implementation</p><p>The 90 day roadmap for making AI effective within a company</p><p>Identifying top impediments: risk assessment, use cases, and expertise gaps</p><p>The necessity of continuous training as AI tools evolve</p><p>Transitioning workforces to adapt to new technological realities</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Challenges in proving AI effectiveness and managing burnout</p><p>00:09 Introduction to the 90 day step-by-step AI implementation plan</p><p>00:15 Analyzing the gap between AI capabilities and actual human usage</p><p>00:42 Identifying top organizational impediments and AI risks</p><p>01:02 Why continuous adaptation is required after initial implementation</p><p>01:29 Helping employees transition and adapt to evolving technologies</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn:<a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/doctordaigle" target="_blank"> https://www.linkedin.com/in/doctordaigle</a></p><p>Website:<a rel="noopener noreferrer nofollow" href="https://chiefaiofficer.com/" target="_blank"> https://chiefaiofficer.com/</a></p><p>Podcast:<a rel="noopener noreferrer nofollow" href="https://usingaiatwork.com/" target="_blank"> https://usingaiatwork.com/</a></p><p><br /></p><p><b>Keywords:</b> AI, Future of Work, Executive Training, Business Strategy, AI Risks, AI Tools, AI adoption, leadership, organizational change, productivity</p><p><br /></p>no00:49:355Your Team is Using AI Right Now And It's Not Helping You | Chris Daiglefull<![CDATA[95% of Companies Are Failing At AI (And They Don't Even Know It) | Geoff Gibbins ]]>In this conversation, Geoff Gibbins discusses the challenges organizations face in adopting AI technologies and the common pitfalls that lead to failure. He emphasizes the importance of rethinking workflows and processes rather than simply adding AI tools to existing systems. Geoff introduces CoreX, a tool designed to enhance collaboration between humans and AI, and explains how it assesses proficiency in using AI tools. The discussion also covers the future of work, where AI becomes an integral part of teams, and the need for organizations to adapt to these changes effectively.


Key Topics

95% of companies that try to use AI fail due to improper implementation

Pilot purgatory refers to endless testing without real results

Rethinking workflows is essential for successful AI integration

CoreX measures how individuals collaborate with AI tools

80% of users add significant value when working with AI

AI can enhance critical thinking and systems thinking skills

Organizational change is necessary for effective AI adoption

The future of work will see AI as a team member

Intelligent robotics will play a larger role in various industries

Training and support are crucial for leveraging AI tools effectively


Episode Timestamps

00:00 The AI Adoption Crisis

03:47 Rethinking Workflows with AI

08:07 Introducing CoreX: A New Tool for AI Collaboration

11:57 Assessing AI Proficiency and Collaboration

16:12 The Learning Flywheel: Humans and AI Together

20:02 The Future of Work: AI as a Team Member

24:12 Redesigning Processes for AI Integration

27:58 Navigating Organizational Change with AI

31:48 The Path Forward: Implementing AI Effectively


Guest Links

LinkedIn: https://www.linkedin.com/in/geoffgibbins

Website: https://human-machines.com/


Keywords: AI adoption, CoreX, AI collaboration, future of work, organizational change, AI tools, human-machine collaboration, training, productivity, technology integration

]]>8111028c-c32e-42c6-9640-fb1127b7cffeWed, 22 Apr 2026 11:00:00 GMT<p>In this conversation, Geoff Gibbins discusses the challenges organizations face in adopting AI technologies and the common pitfalls that lead to failure. He emphasizes the importance of rethinking workflows and processes rather than simply adding AI tools to existing systems. Geoff introduces CoreX, a tool designed to enhance collaboration between humans and AI, and explains how it assesses proficiency in using AI tools. The discussion also covers the future of work, where AI becomes an integral part of teams, and the need for organizations to adapt to these changes effectively.</p><p><br /></p><p><b>Key Topics</b></p><p>95% of companies that try to use AI fail due to improper implementation</p><p>Pilot purgatory refers to endless testing without real results</p><p>Rethinking workflows is essential for successful AI integration</p><p>CoreX measures how individuals collaborate with AI tools</p><p>80% of users add significant value when working with AI</p><p>AI can enhance critical thinking and systems thinking skills</p><p>Organizational change is necessary for effective AI adoption</p><p>The future of work will see AI as a team member</p><p>Intelligent robotics will play a larger role in various industries</p><p>Training and support are crucial for leveraging AI tools effectively</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 The AI Adoption Crisis</p><p>03:47 Rethinking Workflows with AI</p><p>08:07 Introducing CoreX: A New Tool for AI Collaboration</p><p>11:57 Assessing AI Proficiency and Collaboration</p><p>16:12 The Learning Flywheel: Humans and AI Together</p><p>20:02 The Future of Work: AI as a Team Member</p><p>24:12 Redesigning Processes for AI Integration</p><p>27:58 Navigating Organizational Change with AI</p><p>31:48 The Path Forward: Implementing AI Effectively</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/geoffgibbins" target="_blank">https://www.linkedin.com/in/geoffgibbins</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://human-machines.com/" target="_blank">https://human-machines.com/</a></p><p><br /></p><p><b>Keywords: </b>AI adoption, CoreX, AI collaboration, future of work, organizational change, AI tools, human-machine collaboration, training, productivity, technology integration</p>no00:46:00495% of Companies Are Failing At AI (And They Don't Even Know It) | Geoff Gibbins full<![CDATA[AI Won't Save You But This Will | Susan Caesar]]>Explore how AI is transforming the workplace, emphasizing the importance of human skills, mindset, and ethical considerations. Susan Caesar shares insights from her experience at Airbnb and her work in AI, highlighting strategies for staying relevant and leveraging AI responsibly.


Key Topics

The shift from technology to human skills in the workplace

The importance of mindset and human-centered design in AI adoption

Strategies for training and empowering employees for AI integration


Episode Timestamps

00:00 Navigating the Disruption of Work

03:04 The Human Operating System

05:53 Data-Driven Decision Making

08:47 Human-Centered Design

12:12 Empowering Employees in the Age of AI

14:47 AI Literacy and Training

17:54 The Future of Work and AI

20:47 Ethics and Safety in AI Usage

24:07 Embracing Change and Redefining Roles

26:56 The Role of Women in Shaping AI

29:49 The Future Landscape of Work

32:54 Finding Your Place in the New Economy

36:00 Conclusion and Future Outlook


Guest Links

Website: https://www.humain.org/

Website: http://coachingfederation.org/

Linkedin: https://www.linkedin.com/in/susancaesar/


Keywords: AI in the workplace, human skills, AI ethics, digital transformation, future of work, leadership, AI training, human-centered design

]]>a314fa6e-a919-47a5-8714-c7ddcbbbc982Wed, 15 Apr 2026 11:30:00 GMT<p>Explore how AI is transforming the workplace, emphasizing the importance of human skills, mindset, and ethical considerations. Susan Caesar shares insights from her experience at Airbnb and her work in AI, highlighting strategies for staying relevant and leveraging AI responsibly.</p><p><br /></p><p><b>Key Topics</b></p><p>The shift from technology to human skills in the workplace</p><p>The importance of mindset and human-centered design in AI adoption</p><p>Strategies for training and empowering employees for AI integration</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Navigating the Disruption of Work</p><p>03:04 The Human Operating System</p><p>05:53 Data-Driven Decision Making</p><p>08:47 Human-Centered Design</p><p>12:12 Empowering Employees in the Age of AI</p><p>14:47 AI Literacy and Training</p><p>17:54 The Future of Work and AI</p><p>20:47 Ethics and Safety in AI Usage</p><p>24:07 Embracing Change and Redefining Roles</p><p>26:56 The Role of Women in Shaping AI</p><p>29:49 The Future Landscape of Work</p><p>32:54 Finding Your Place in the New Economy</p><p>36:00 Conclusion and Future Outlook</p><p><br /></p><p><b>Guest Links</b></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.humain.org/" target="_blank">https://www.humain.org/</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="http://coachingfederation.org/" target="_blank">http://coachingfederation.org/</a></p><p>Linkedin: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/susancaesar/" target="_blank">https://www.linkedin.com/in/susancaesar/</a></p><p><br /><b>Keywords:</b> AI in the workplace, human skills, AI ethics, digital transformation, future of work, leadership, AI training, human-centered design</p>no00:43:543AI Won't Save You But This Will | Susan Caesarfull<![CDATA[Your Company Is Already Running The Numbers On Replacing You With AI | Stela Lupushor]]>In this conversation, Stela Lupushor discusses the evolving landscape of work, emphasizing the need for HR to adapt to new realities shaped by AI and changing employee expectations. She shares her journey from Moldova to becoming a leader in HR innovation, highlighting the importance of reframing traditional HR practices to focus on employee experience and value creation. The discussion also touches on the risks of shadow AI, the necessity of data-driven insights in HR, and the future of work as a collaborative effort between humans and technology.


Key Topics

The future of work is increasingly driven by AI and data

HR must transition from a compliance-focused role to a strategic partner

Employee experience is critical for retention and productivity

Shadow AI presents both opportunities and security risks

Data analytics can dispel common myths in HR practices.

Organizations need to rethink the value exchange with employees

Investing in employee experience can lead to significant ROI

The traditional model of work is becoming obsolete

Collaboration between HR and IT is essential for modern workplaces

The future of work will involve a blend of human and AI collaboration


Episode Timestamps

00:00 The Future of Work: A New Paradigm

09:15 Stela's Journey: From Moldova to HR Innovator

14:28 Reframing HR: Breaking the Traditional Model

25:29 The Importance of Employee Experience

29:20 Shadow AI: Productivity vs. Security Risks

35:25 Myth Busting in HR: Data-Driven Insights

41:00 The Future of Work: Rethinking Value Exchange


Guest Links

LinkedIn: https://www.linkedin.com/in/slupushor/

Website: https://www.reframe.work/

Books: https://www.amazon.com/dp/1398604232/ref=tsm_1_fb_lk and https://www.amazon.com/Humanizing-Human-Capital-Optimal-Business/dp/1637741804


Keywords: Future of work, HR innovation, employee experience, AI in HR, human capital ROI, workplace transformation, shadow AI, data-driven HR, employee retention, workforce strategy.


]]>12d29da2-5490-4db9-875b-47e13308b7f3Wed, 08 Apr 2026 10:00:00 GMT<p>In this conversation, Stela Lupushor discusses the evolving landscape of work, emphasizing the need for HR to adapt to new realities shaped by AI and changing employee expectations. She shares her journey from Moldova to becoming a leader in HR innovation, highlighting the importance of reframing traditional HR practices to focus on employee experience and value creation. The discussion also touches on the risks of shadow AI, the necessity of data-driven insights in HR, and the future of work as a collaborative effort between humans and technology.</p><p><br /></p><p><b>Key Topics</b></p><p>The future of work is increasingly driven by AI and data</p><p>HR must transition from a compliance-focused role to a strategic partner</p><p>Employee experience is critical for retention and productivity</p><p>Shadow AI presents both opportunities and security risks</p><p>Data analytics can dispel common myths in HR practices.</p><p>Organizations need to rethink the value exchange with employees</p><p>Investing in employee experience can lead to significant ROI</p><p>The traditional model of work is becoming obsolete</p><p>Collaboration between HR and IT is essential for modern workplaces</p><p>The future of work will involve a blend of human and AI collaboration</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 The Future of Work: A New Paradigm</p><p>09:15 Stela's Journey: From Moldova to HR Innovator</p><p>14:28 Reframing HR: Breaking the Traditional Model</p><p>25:29 The Importance of Employee Experience</p><p>29:20 Shadow AI: Productivity vs. Security Risks</p><p>35:25 Myth Busting in HR: Data-Driven Insights</p><p>41:00 The Future of Work: Rethinking Value Exchange</p><p><br /></p><p><b>Guest Links</b></p><p>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/slupushor/" target="_blank">https://www.linkedin.com/in/slupushor/</a></p><p>Website: <a rel="noopener noreferrer nofollow" href="https://www.reframe.work/" target="_blank">https://www.reframe.work/</a></p><p>Books: <a rel="noopener noreferrer nofollow" href="https://www.amazon.com/dp/1398604232/ref=tsm_1_fb_lk" target="_blank">https://www.amazon.com/dp/1398604232/ref=tsm_1_fb_lk</a> and <a rel="noopener noreferrer nofollow" href="https://www.amazon.com/Humanizing-Human-Capital-Optimal-Business/dp/1637741804" target="_blank">https://www.amazon.com/Humanizing-Human-Capital-Optimal-Business/dp/1637741804</a></p><p><br /></p><p><b>Keywords: </b>Future of work, HR innovation, employee experience, AI in HR, human capital ROI, workplace transformation, shadow AI, data-driven HR, employee retention, workforce strategy.</p><p><br /></p>no00:45:262Your Company Is Already Running The Numbers On Replacing You With AI | Stela Lupushorfull<![CDATA[LinkedIn's 1st CHRO: Why Learning Velocity Beats AI in 2026 | Steve Cadigan]]>The world of work isn't just changing; it is being completely redefined. In this episode, we sit down with Steve Cadigan, LinkedIn’s first Chief HR Officer and author of Workquake. Steve shares his expertise on the evolving landscape of work, talent retention, AI integration, and leadership in a rapidly changing world. Discover practical strategies for building resilient teams, embracing mistakes, and preparing for the future of work.

Key Topics

The evolution of work and the impact of AI

Building a culture of learning and experimentation

Strategies for talent retention and recruitment

The importance of authenticity and vulnerability in leadership


Episode Timestamps

00:00 Introduction to Steve Cadigan and his career

01:27 Steve's background and early life in South Africa and Connecticut

03:22 How Steve fell in love with HR and his career journey

05:17 The value of making mistakes and being human in leadership

07:28 Responding to interview questions about failure and mistakes

08:32 Building teams that attract top talent without high pay

10:21 The importance of a compelling Employee Value Proposition (EVP)

13:03 The changing landscape of careers and new industries

14:32 The rapid change in the world of work and how to prepare

16:27 Understanding workforce turnover and the impact of COVID-19

18:37 Advice for new graduates in a challenging job market

20:47 The importance of critical thinking and learning velocity

22:05 Jobs of the future: learning more than knowing

30:02 The creativity and innovation of outsiders in Silicon Valley

31:41 The power of giving employees new opportunities to grow

36:36 How AI is augmenting talent rather than replacing it

37:04 Motivations behind AI job displacement narratives

39:20 The cultural challenges of AI adoption and experimentation

41:55 The one move to gain an unfair edge in the future of work

42:34 Where to connect with Steve and learn more about his work


Guest Links


Keywords: Future of Work, Talent Retention Strategies, AI in HR, Leadership Vulnerability, Career Pivot, Workquake Book, Employee Engagement, Silicon Valley Innovation, Workforce Turnover, Steve Cadigan


]]>58853e24-445f-432e-8e3f-61b0968d5151Wed, 01 Apr 2026 12:45:00 GMT<p>The world of work isn't just changing; it is being completely redefined. In this episode, we sit down with <b>Steve Cadigan</b>, LinkedIn’s first Chief HR Officer and author of <i>Workquake</i>. Steve shares his expertise on the evolving landscape of work, talent retention, AI integration, and leadership in a rapidly changing world. Discover practical strategies for building resilient teams, embracing mistakes, and preparing for the future of work.</p><p><b>Key Topics</b></p><p>The evolution of work and the impact of AI</p><p>Building a culture of learning and experimentation</p><p>Strategies for talent retention and recruitment</p><p>The importance of authenticity and vulnerability in leadership</p><p><br /></p><p><b>Episode Timestamps</b></p><p>00:00 Introduction to Steve Cadigan and his career</p><p>01:27 Steve's background and early life in South Africa and Connecticut</p><p>03:22 How Steve fell in love with HR and his career journey</p><p>05:17 The value of making mistakes and being human in leadership</p><p>07:28 Responding to interview questions about failure and mistakes</p><p>08:32 Building teams that attract top talent without high pay</p><p>10:21 The importance of a compelling Employee Value Proposition (EVP)</p><p>13:03 The changing landscape of careers and new industries</p><p>14:32 The rapid change in the world of work and how to prepare</p><p>16:27 Understanding workforce turnover and the impact of COVID-19</p><p>18:37 Advice for new graduates in a challenging job market</p><p>20:47 The importance of critical thinking and learning velocity</p><p>22:05 Jobs of the future: learning more than knowing</p><p>30:02 The creativity and innovation of outsiders in Silicon Valley</p><p>31:41 The power of giving employees new opportunities to grow</p><p>36:36 How AI is augmenting talent rather than replacing it</p><p>37:04 Motivations behind AI job displacement narratives</p><p>39:20 The cultural challenges of AI adoption and experimentation</p><p>41:55 The one move to gain an unfair edge in the future of work</p><p>42:34 Where to connect with Steve and learn more about his work</p><p><br /></p><p><b>Guest Links</b></p><ul><li>Website: <a rel="noopener noreferrer nofollow" href="https://stevecadigan.com/" target="_blank">https://stevecadigan.com/</a></li><li>LinkedIn: <a rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/cadigan/" target="_blank">https://www.linkedin.com/in/cadigan/</a></li><li>Tiktok: <a rel="noopener noreferrer nofollow" href="https://www.tiktok.com/@stevecadigan" target="_blank">https://www.tiktok.com/@stevecadigan</a></li><li>Book: <a rel="noopener noreferrer nofollow" href="https://www.amazon.com/Workquake-Embracing-Aftershocks-COVID-19-Working/dp/1645434265/ref=zg_bsnr_2697_13?_encoding=UTF8&amp;psc=1&amp;refRID=M6HAT3QZA6GMJRE1510Z" target="_blank">Workquake: Embracing the Aftershocks of COVID-19 to Create a Better Model of Working</a></li></ul><p><br /></p><p><b>Keywords:</b> Future of Work, Talent Retention Strategies, AI in HR, Leadership Vulnerability, Career Pivot, Workquake Book, Employee Engagement, Silicon Valley Innovation, Workforce Turnover, Steve Cadigan</p><p><br /></p>no00:43:241LinkedIn's 1st CHRO: Why Learning Velocity Beats AI in 2026 | Steve Cadiganfull<![CDATA[TRAILER: The Future of Work is Here. Are you ready?]]>Welcome to the "Unlock" phase of your career. > In this 90-second intro, host Jeff Midland breaks down why the "old way" of working is dying and how The Unlocked Professional will give you the cheat codes to lead the AI transition.

What to expect every Wednesday starting April 1st:

  • Architect vs. Worker: Strategies to move up the value chain.
  • Human-Centric AI: How to use tools without losing your soul.
  • Expert Deep Dives: Conversations with the leaders building the future.

🚀 LAUNCHING APRIL 1st, 2026 Action Step: Hit the "Follow" button right now so you don't miss our premiere episode.

Visit us at www.unlockedpro.com

]]>40158fa3-3c2a-4824-835f-f5263bfff45aWed, 18 Mar 2026 17:47:36 GMT<p><b>Welcome to the "Unlock" phase of your career.</b> &gt; In this 90-second intro, host Jeff Midland breaks down why the "old way" of working is dying and how <i>The Unlocked Professional</i> will give you the cheat codes to lead the AI transition.</p><p><b>What to expect every Wednesday starting April 1st:</b></p><ul><li><b>Architect vs. Worker:</b> Strategies to move up the value chain.</li><li><b>Human-Centric AI:</b> How to use tools without losing your soul.</li><li><b>Expert Deep Dives:</b> Conversations with the leaders building the future.</li></ul><p></p><p><b>🚀 LAUNCHING APRIL 1st, 2026</b> <b>Action Step:</b> Hit the "Follow" button right now so you don't miss our premiere episode.</p><p></p><p>Visit us at www.unlockedpro.com</p>no00:01:27TRAILER: The Future of Work is Here. Are you ready?trailer