In our conversation, we discuss:

1. Why the real moat moved from the interface to the data and judgment behind it, and what that means for companies that spent decades building the UI layer AI just commoditized

2. The exact moment his CEO opened Claude Code mid-meeting and built the dashboard everyone had been debating for weeks, and why it left the room humbled instead of relieved

3. Why treating AI like a vending machine (put in the goal, expect the outcome) fails the same way an un-scaffolded new hire fails, and the fix that actually works

4. The heart attack he had on February 7th, and how he and his wife used AI to translate his diagnosis and medications when he couldn't advocate for himself

5. What he hopes his kids inherit in a world where AI hands out more validation than most humans ever will

Where to find Jamin:

LinkedIn: linkedin.com/in/jaminbrazil

Jamin's Podcast: bit.ly/jamins-vlad

Where to find Vlad:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Cold open

00:56 Welcome and introduction

01:43 The pattern across three tech waves

02:57 The new moat: data and judgment replace the UI

05:28 Why leaders are afraid to admit it, and SaaS multiples in free fall

07:58 Tech-enabled services, and whether everyone becomes the expert

11:31 Knowledge vs. experience, and AI's scaffolding problem

13:06 The CEO who vibe-coded the dashboard live in a meeting

17:00 What it means for the C-suite when everyone can build

19:59 Reconciling "slow down and plan" with "just build and iterate"

22:50 Aging, AI, and his heart attack

31:29 Boardy: an AI built entirely on trust

36:11 The vending machine problem, and managing AI like a new hire

40:31 Meta-thinking: giving AI objectives so it doesn't drift

44:01 Closing thoughts: what he hopes his kids inherit

In our conversation, we discuss:

1. Why he builds a harness around AI instead of a fully autonomous pipeline, and why the companies behind ChatGPT, Claude, and Gemini have no incentive to tell you that

2. Running bi-directional retros with his own AI agents, what one of them told him about his productivity, and why he calls them his "innies"

3. The real story behind automating a yoga studio owner's cancellation process, and what she got back that had nothing to do with software

4. Why "yes, and" from an improv class became his best tool for resetting client expectations about what AI can and can't do

5. What's left for humans once the routine work is gone, and why he thinks trust, connection, and creativity get more room to grow, not less

6. His five-part prompt framework (role, context, task, format, constraints) and the one part most people skip

LOGAN LINKS:

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

Website: shimmerlabs.co

VLAD LINKS:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

EPISODE LINKS:

Spotify: https://open.spotify.com/show/033z600k53oJJi7CneGCed?si=5cc9vvfCSZmmf_cExjm8Vg&utm_source=copy-link&nd=1&dlsi=b9fa939ffd154488

Apple Podcasts: https://podcasts.apple.com/us/podcast/vlad-on-leadership/id1896931445

In our conversation, we discuss:

1. Why the pace of technological change now moves faster than most corporate decision making, and what has to change about how executives decide
2. Why 95 percent of failed corporate-startup pilots have nothing to do with the startup failing to deliver
3. Inside his bootcamp process: from three ranked priorities per VP, to ten shortlisted startups, to two pilots, to one integration
4. Why board incentives built entirely on quarterly P&L are the real block on innovation
5. Why he treats every employee as a sensor for the next disruption, and the shift from ego to curiosity that comes with it
6. His advice to corporate VCs: pilot before you invest, because a pilot is the best due diligence money can buy
   

Itai Links:

LinkedIn: linkedin.com/in/itaigreen

https://www.globalinnovationandstrategy.com/

https://www.linkedin.com/in/itaigreen/

Book: Innovation or Elimination: WINNING in a World of Constant Change. An Executive Playbook

Vlad Links:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here:

vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Welcome and introduction

00:47 Itai's path: entrepreneur, then head of innovation at Amadeus, to founding his own open innovation firm

02:16 The real bottleneck in corporate innovation, and why it isn't finding the right startups

03:33 Why corporate and startup cultures move at completely different speeds

06:05 How three and a half years of AI acceleration made his job easier

08:01 What it costs leaders to let go of the operating model that made them successful

10:16 Speed of decisions versus slowing down for strategy: comparing notes with Vlad

11:54 Treating the ecosystem as a threat or an opportunity, and what McKinsey can't see

17:01 Why board incentives built around quarterly P&L are the real blocker

19:10 Inside the bootcamp: from three ranked priorities per VP to one integration

22:31 Why 95 percent of failed pilots aren't the startup's fault

23:07 Vetting a startup partner like a marriage, not a vendor contract

25:19 What changes in a leader once open innovation works: curiosity over ego

40:19 Closing: let's go make miracles happen

In our conversation, we discuss:

1. Why the shift from orchestrating work to actually executing it herself is creating a very real identity crisis, and not just for junior workers
2. The real cost of running twenty concurrent strategic initiatives without gaining any personal capacity, and the systems she had to build, then open source, just to keep track of it all
3. What she had to let go of to get here: the clout that comes with a title, and the belief that time served still earns you anything
4. Why taste and craft, not raw skill, is what separates someone with institutional knowledge from a new grad using the same AI tools
5. Why almost nobody in a room full of early AI adopters knew what "planning mode" was, and what that reveals about how most people are still using AI wrong
6. Why she thinks this identity crisis might finally break America's habit of letting work define who we are

Where to find Annie:

Personal: annietsai.co

momsintech.com

Where to find Vlad:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Introduction, and why work now means holding twenty conversations at once that never end

00:58 Who Annie Tsai is: COO at Interact, Moms in Tech, and her upcoming third book

02:44 The premise behind her column: a generation trained to become one expert thing, now disrupted

04:27 From orchestrator to executor: how her actual role changed over the last few years

08:21 The cognitive cost of running twenty strategic initiatives at once, and the systems she built to survive it

10:43 What she had to let go of: the clout that comes with a title

12:20 Taste and institutional knowledge as the real differentiator AI can't replace

17:15 Her hope for the American workforce: that what we do stops being who we are

18:24 The grief of losing a skill you used to love, and why it deserves to be named as grief

20:47 Painting murals, and finding the time to fill the buckets that make you feel like yourself

21:55 Advice to her thirteen year old son on what to study and why

25:10 Creativity as the new white picket fence

29:58 Metacognition as the most underrated AI skill, and why almost nobody in the room knew what planning mode was

32:32 Why "AI native" is the wrong hire, and what to look for instead

35:35 Modeling AI use as a leader, and the CEO who built the dashboard instead of just talking about it

36:30 Closing: what people will be pleasantly surprised to evolve into

In our conversation, we discuss:

1. Why the first wave of AI hit structured, repeatable knowledge work first, and what the next wave (the review layer) is already coming for
2. The compression trap: how AI shrinks the time it takes to do the work while the scope quietly expands to fill the gap, so people end up working more, not less
3. Why more AI tools and more options are creating more decision fatigue, not less, and what that means for how you decide anything right now
4. What actually separates people who adapt well from people who don't, and why it has less to do with skill than most advice suggests
5. His three-part response to this moment: get closer to the actual business problem, protect the right things instead of the familiar things, and use your own unsettledness as fuel instead of something to fix
6. What he'd say to a technical leader who feels the ground moving and doesn't know where they're headed yet

Where to find Berk:
LinkedIn: linkedin.com/in/berkalgan
Website: virtualcyberriskoffice.com

Where to find Vlad:
Website: vladmoskovski.com
LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders
AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Welcome and introduction

01:00 The three waves of AI hitting knowledge work

04:30 Why more options are creating more decision fatigue

09:30 The compression trap: doing more, not less

14:40 Overwhelm, burnout, and the case for human flourishing

26:40 Choosing optimism without ignoring what's real

29:25 Life design and finding gratitude in the noise

30:25 Why he left corporate, and what made the leap possible

35:20 Relationships as the real currency after corporate

37:10 Get closer to the business problem

41:45 T-shaped vs. Z-shaped: what to actually get deep in

45:15 Closing line: get comfortable with your discomfort

In our conversation, we discuss:

1. How AI has shifted from an autocomplete assistant to the default first move in his day to day coding and design work, and what that shift costs in terms of owning your own knowledge
2. Why raw intuition and taste, not access to tools, is what now separates good work from bad, since everyone has access to the same AI
3. The real bottleneck in software engineering: not writing code, which is under 20 percent of the job, but interpersonal communication, translating vision into requirements into architecture into code
4. A cautionary story about two AI-written memos on his team's wiki that sounded confident but didn't hold up, and why he chose not to argue with an AI's reasoning
5. Physical AI and the "floating brain in a tank" problem: why language-only intelligence still lacks a toddler's intuition for how the physical world works, and what robotics could change
6. The structured to unstructured to structured pattern that makes AI agents actually useful, and why he's still unsure what to tell his own kids about their future

Where to find JD:

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

Where to find Vlad:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Introduction, and being the first ever podcast guest

00:46 How the day to day of coding and design has shifted with AI in the past year

01:54 Democratized tools, and what actually separates good work from bad now

04:11 Why interpersonal communication, not code, is software engineering's real bottleneck

07:24 The AI-written memos on the wiki that didn't hold up

09:34 AI slop, and the flood of easy to generate, hard to evaluate content

13:07 Guardrails, and hoping the growing pains are just transitional

14:29 Physical AI, digital twins, and managing real-world infrastructure

16:58 The "floating brain in a tank" without senses

19:30 Representations, notation, and why code is often the most precise language

23:11 The structured to unstructured pattern that makes AI agents work

26:10 Closing thoughts: feeling clueless, parenting, and what to tell his kids about the future

In our conversation, we discuss:

1. Why AI is, at the core, nothing more than next word prediction, and why that fact does not make what is coming any less real
2. Why running an AI agent has gotten as addictive as coding used to be, and what that says about attention and control
3. What is actually left of a person's identity once AI can do most of the doing: judgment, taste, and the ability to set the objective the model is chasing
4. Why training everyone on the same intelligence risks making all of us more similar, not more capable
5. Why the loneliness cost of an AI-driven work life worries him more than losing a job, and what the old studies on touch and love still prove
6. What he tells his teenage son, who wants to be a DJ instead of a coder, and the project he is building to teach AI how to carry Indian classical music forward

Where to find Swapnil:

LinkedIn: linkedin.com/in/swapnil-shrivastava-2b493637

Where to find Vlad:

Website: vladmoskovski.com

LinkedIn: linkedin.com/in/vladmoskovski

Free Somatic Intelligence Toolkit for Leaders

AI gives everyone data. The leaders who stand out also listen to their body's intelligence. Download the free toolkit here: vladmoskovski.com/handbook-landing-page

Timestamps:

00:00 Introduction, and why AI is just next word prediction

01:09 The story behind the background: Adobe's decades-old office puzzle tradition

04:43 Inside Adobe's "code red" moment on AI

07:46 AI alignment and the idea of human flourishing

09:36 Why running an agent while playing flute felt so addictive

13:28 What is left of identity when AI can do most of the doing

16:40 Taste versus judgment, and reading thought directly

19:23 The patterns AI can learn, and who Swapnil is outside them

20:23 Man as the measure of everything, and Sam Altman's line about kids never outsmarting ChatGPT

23:14 The Nigerian call center story behind ChatGPT's word choices

25:23 Advice to his teenage son, who wants to be a DJ

27:51 The orphanage studies on touch, love, and what people actually need to survive

29:19 The loneliness epidemic, and why it worries him more than job loss

32:54 Manifesting the future: teaching AI to carry Indian classical music forward

35:37 Closing line: "May there be resonance"