In this teaser, Jeremy and Henrik reflect on their conversation with Illia Polosukhin, co-author of the “Attention Is All You Need” paper and founder of Near Protocol. They dig into Illia’s early expectations for ChatGPT, why “owning your AI” isn’t just a catchphrase, and how blockchain could help protect the information we rely on. They also explore what it really means to work with AI and why your own experience might be more powerful than you think.
Full episode dropping soon.

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Henrik: https://www.linkedin.com/in/werdelin
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Show edited by Emma Cecilie Jensen.

In this episode, Christian Keller joins Henrik and Jeremy to explain how world models are shaping the next stage of generative AI. He talks through how AI learns using different types of inputs, and why video adds a sense of continuity, change, and cause and effect that text alone does not provide. Christian shares vivid analogies and clear examples to show what multimodal models make possible.

The conversation moves into how AI is now used throughout the research process, from generating synthetic data to evaluating model outputs. Christian shares how this loop is already in motion and how AI is helping scale and accelerate experimentation. He also reflects on the shift after ChatGPT launched, and how that changed the pace and structure of research work.

Later in the episode, Christian describes how individual workflows are evolving, and how asking simple questions like “Could AI help with this?” often opens new possibilities. He shares examples from his own work and home life, including how his wife built and graded her own French exercises using generative tools.

Key Takeaways:

• Text removes essential information
  Christian explains that text compresses reality and loses detail, context and temporality. Images and video help restore what text leaves out.
• World models give AI a sense of change
  Video introduces the before and after and how things move or enter a scene. This helps models learn cause and effect and builds more robust understanding.
• AI helps build AI
  Models can generate data, evaluate results and support researchers during development. Christian shows how this creates new ways of scaling experimentation and training.
• Workflows shift when AI handles early steps
  Christian shows how tasks like debugging and prototyping change with generative tools, which reshapes roles and opens new opportunities for innovation.

LinkedIn: Christian Keller | LinkedIn

00:00 Intro: Information Compression
00:37 Meet Christian Keller: AI Expert
01:13 The Evolution of AI Products
02:11 Impact of ChatGPT on AI Development
02:38 Understanding PyTorch and Its Role
07:41 The Bitter Lesson in AI
09:12 Challenges and Future of AI Models
18:57 Using AI to Build AI
23:25 Innovative Chat Interfaces
23:41 Building the Autos Platform
24:35 Epiphanies in AI Integration
25:18 AI in Entrepreneurial Workflows
26:32 Challenges in AI Integration
31:15 Bias in AI Models
38:06 Debrief

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

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Show edited by Emma Cecilie Jensen.

In this teaser, Jeremy and Henrik break down their immediate takeaways from their conversation with Christian Keller, including model fidelity, hallucinations, and the surprising ways AI is already reshaping everyday workflows.
Full episode drops tomorrow.

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
Jeremy: https://www.linkedin.com/in/jeremyutley

Show edited by Emma Cecilie Jensen.

Generative AI is moving fast, but most organizations aren’t. Tim Creasey and Paul Gonzalez have spent their careers studying why. As leaders at Prosci, they’ve worked with thousands of teams navigating complex change, and in this episode they share what their research says about the human side of transformation.

They discuss why traditional tactics like comms and training break down in the face of rapid AI adoption, and how successful organizations create the conditions for people to actually change. From hands-on leadership and peer-driven learning to the power of experimentation and the ADKAR model, this conversation is packed with practical tools and hard-earned insights.

Tim and Paul also explore how AI is reshaping organizational structures, what “exposure hours” reveal about executive readiness, and why culture beats mandates every time. Whether you’re leading change or stuck inside it, this episode offers a grounded look at what actually works when everything is in motion.

Key takeaways:

• Bold vision is not enough - it also needs to be balanced
  The most effective AI leaders communicate both where the organization is going and what teams are doing right now to get there. Prosci’s research shows that near-term clarity matters just as much as long-term ambition.
• Leaders need to use the tools themselves
  Tim and Paul introduce the idea of “exposure hours” as a leading indicator of readiness. The more time executives spend actively experimenting with AI, the better positioned they are to lead transformation.
• Experimentation requires structure and safety
  Organizations can’t just tell people to try new things. They need to carve out time, reduce the stakes, and make experimentation a shared and visible part of how work gets done.
• Real change still happens one person at a time
  Despite all the new tech, the fundamentals haven’t changed. Individuals need awareness, desire, knowledge, ability, and reinforcement to adopt new behaviors. Prosci’s ADKAR model remains essential for making change stick.

LinkedIn: Prosci: LinkedIn
Website: Prosci | The Global Leader in Change Management Solutions

00:00 Introduction to Change Management and AI Adoption
00:25 Meet the Experts: Tim Creasey and Paul Gonzalez
01:51 The Challenges of Change Management
04:07 Generative AI Transformation: Unique Challenges
07:44 Key Ingredients for Successful AI Adoption
15:18 Building a Culture of Experimentation
20:43 The Role of Leadership in AI Transformation
25:54 Future Organizational Designs with AI
27:02 Disruptive Organizational Changes
28:00 Examples of Innovative Enterprises
28:15 Military Analogies in Business
29:30 Challenges in Organizational Change
30:36 Timeless Principles of Change Management
31:36 The Role of Leadership in Change
33:13 ADKAR Model for Change
35:51 Addressing Resistance to Change
40:05 Effective Communication Strategies
47:48 Concluding Thoughts and Reflections

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
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Show edited by Emma Cecilie Jensen.

Applied Intuition builds the kind of AI you don’t see, but can’t live without. Co-founders Qasar Younis and Peter Ludwig share how their $15 billion company powers vehicle intelligence across cars, trucks, tanks, mining equipment, and defense systems operating in some of the most demanding conditions on earth.

They explain why combining AI with safety-critical systems raises the stakes, how a single mistake can destroy an entire company, and why so many autonomy startups ended up in the “graveyard.” The conversation explores the slow, methodical path to real autonomy, the hidden complexity of machines that run nonstop, and why consumer AI metaphors break down once software meets the physical world.

Qasar and Peter also reflect on how Applied uses AI internally, how their principle of “radical pragmatism” keeps innovation grounded, and what it takes to move fast without breaking things when lives and livelihoods are on the line. From six-figure labor shortages in remote mines to the future of defense and logistics, this episode reveals how AI is quietly transforming the physical world — one carefully coded system at a time.

Key Takeaways:

• Safety changes everything about AI
  When AI moves from the screen to the real world, the rules change. Qasar and Peter explain why building for trucks, tanks, and jets demands a different kind of discipline — one where precision and safety replace speed and iteration.
• The graveyard of autonomy is real
  There’s a long list of companies that underestimated what it takes to build safe, reliable autonomy. Applied Intuition’s founders share what went wrong — and why moving slower has been their biggest advantage.
• Radical pragmatism is the hidden differentiator
  Inside Applied Intuition, “radical pragmatism” isn’t a slogan — it’s a practice. Qasar and Peter describe how it guides product decisions, culture, and leadership, helping them innovate in places where failure isn’t an option.
• The next frontier of AI is off the screen
  From mines to military systems, the future of AI won’t be chatbots — it will be machines that think, move, and decide in the physical world. Jeremy and Henrik reflect on how that shift raises the bar for builders, leaders, and the technology itself.

Applied Intuition: http://applied.co/
LinkedIn: linkedin.com/Applied
X: https://x.com/Applied

00:00 Intro: Safety Critical Systems
00:33 Meet the Founders of Applied Intuition
01:09 Understanding Applied Intuition's Unique Approach
03:02 The Human-Machine Teaming Concept
07:26 Challenges in Autonomous Driving
16:39 AI in Industrial Applications
28:27 Future of Fighter Jets and AI
29:50 AI in Applied: Coding Tools and Beyond
33:16 Radical Pragmatism and AI Integration
36:03 Challenges of AI Adoption in Large Organizations
39:56 Human and Technical Challenges in AI
42:02 Innovation and Organizational Structure
48:38 Reflections on AI and Future Prospects

📜 Read the transcript for this episode: Transcript of You Can’t Vibe Code a 100-Ton Truck: Inside Applied Intuition’s Approach to Safety-Critical AI

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
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Show edited by Emma Cecilie Jensen.

As Head of IBM Consulting, Mohamad Ali led one of the most ambitious enterprise AI transformations to date. When he rejoined the company, he turned IBM into its own “Client Zero,” testing every idea internally before bringing it to market. The effort began with massive hackathons involving 150,000 employees, designed to turn curiosity into capability and build belief at scale.

Mohamad breaks down the three pillars that made it work: leadership that deeply understands AI, a willingness to redesign core processes, and broad employee engagement. The results were measurable and market-moving: $3.5 billion in cost savings, an eight-point business turnaround, and a doubling of IBM’s stock price.

Jeremy and Henrik unpack why IBM’s model may signal the future of consulting—organizations that act as their own laboratories for change. They reflect on how applied AI is emerging as its own discipline, where the challenge isn’t building models but re-architecting systems, workflows, and culture around them.

Key Takeaways:

• Start with Yourself: “Client Zero” Works
  IBM transformed internally before advising clients, using its own systems as a testing ground. This allowed the team to validate AI tools, workflows, and cultural shifts in real conditions, creating credibility and clarity before going to market.
• Transformation Needs More Than Tech
  Success came from a mix of technical leadership, process redesign, and cultural momentum. AI wasn’t just layered on; it was embedded into workflows, backed by leadership buy-in, and powered by 150,000 employees who participated in company-wide hackathons.
• Digital Labor Is Reshaping Business Models
  IBM didn’t just automate tasks. It redeployed 40% of HR into billable consulting roles. This shift points to a new model for consulting and services, where hybrid human plus AI teams redefine how value is delivered and monetized.
  Measure and Share the Impact
  Transformation became real when IBM tied outcomes to business metrics. By reporting $3.5 billion dollars in savings and tracking results with the CFO, IBM showed how to make AI adoption tangible, accountable, and visible to both employees and investors.

LinkedIn: Mohamad Ali - IBM | LinkedIn
IBM: IBM

00:00 Intro: HR Automation
00:41 Introduction of Mohamed Ali and IBM's Transformation
01:14 IBM's Enterprise Transformation
01:41 The Role of AI in IBM's Success
03:25 Rejoining IBM: A Strategic Decision
04:33 Key Components of AI Implementation
07:21 Employee Engagement and Hackathons
08:59 Technical Leadership and AI
10:37 Global Tax Optimization with AI
11:17 Scaling AI Solutions for Clients
22:00 Monetizing Digital Labor
26:50 Digital Labor and Procurement Projects
27:29 Unbundling and Economic Implications
28:44 Technological Shifts and Market Expansion
30:04 AI-Powered Business Transformations
32:22 Case Study: L'Oreal's AI Integration
39:13 HR Automation and Redeployment
42:09 Creative Innovations in AI Applications
43:59 Advice for Leaders on AI Integration
45:43 Final thoughts

📜 Read the transcript for this episode:

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

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Show edited by Emma Cecilie Jensen.

Martin Reeves has spent decades advising CEOs on how to think about strategy. As head of BCG’s Henderson Institute, he has built a career challenging leaders to balance efficiency with imagination and to prepare for the next disruptive shift.

In this conversation, Martin tells Henrik and Jeremy why AI alone will not give companies an edge and might even strip them of advantage. He unpacks the “two jobs of business”: playing the current game better than anyone else while simultaneously asking what the next game will be. He argues that AI only sharpens this paradox, forcing leaders to think faster, experiment more, and draw on human imagination in new ways.

The discussion covers the risks of over-optimization, the future of consulting, and the paradoxes of AI adoption. Along the way, Reeves explains how AI can accelerate exploration, why framing the right questions is the strategist’s most important job, and why times of disruption are when number twos become number ones or disappear altogether.

Key Takeaways:

• Strategy is the double game
  Long-term success means playing today’s game efficiently while also inventing tomorrow’s. Henrik and Jeremy stress how rare it is for leaders to do both, yet this is exactly what AI demands.
• AI efficiency without imagination is a trap
  Adopting the same tools as competitors drives efficiency but commoditizes advantage. The hosts underline that imagination and unique use are what create real differentiation.
• The strategist’s edge is asking the right question
  Martin highlights that strategy starts with framing the real question. Henrik and Jeremy note that questioning and cognitive diversity are crucial in the AI era.
• Disruption reshuffles winners and losers
  Times of change are when number twos become number ones and leaders disappear. The wrap-up emphasizes the urgency of experimenting and adapting now.
• Human imagination stays essential
  AI can accelerate exploration, but creativity, ethics, and originality remain uniquely human — and decisive for future leadership.

LinkedIn: Martin Reeves | LinkedIn
BCG Henderson Institute: Home - BCG Henderson Institute
Martins books: The Imagination Machine // Like: The Button That Changed the World

00:00 Intro: Two Jobs in Strategy, Today’s Game and Tomorrow’s Game
01:33 Martin Reeves and the Henderson Institute
04:02 Defining Strategy in the AI Era
05:12 AI and Human Imagination
09:20 Efficiency vs. Competitive Advantage
13:18 Organizational Design for the Future
23:09 The Paradox of Imagination in Business
33:02 Harnessing Serendipity for Innovation
35:18 Devil’s Advocacy and Meeting Optimization
36:51 Where AI Helps and Hurts Organizations
38:16 The Limits of AI Training Data
42:56 How Martin Uses AI Day to Day
47:09 What’s the Next Game for Consulting
53:15 Final Reflections

📜 Read the transcript for this episode: Transcript of How Do You Strategize in the AI Era? – with Martin Reeves, Head of BCG’s Think Tank

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
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Show edited by Emma Cecilie Jensen.

Adam Brotman and Andy Sack sit down with Henrik and Jeremy to unpack their book AI First and the framework they have developed for leaders. They argue that AI is not just another technology wave but a leadership reset that demands new playbooks, new structures and new ways of thinking.

They explain why AI should be seen as an augmentation of human intelligence, an “Ironman suit” for leaders, and how mindset, experimentation and governance are essential to adoption. The conversation also explores organizational redesign, the role of executives in fostering AI literacy and the urgency of adapting quickly as the technology advances.

This episode offers a practical and forward-looking discussion on how leaders can integrate AI across their organizations, build cultures of experimentation and future-proof their businesses in a rapidly changing landscape.

Key Takeaways:

• AI is a leadership reset, not just a technology shift.
  Adam and Andy argue that AI demands a new playbook for leaders. It is not simply another tool, like mobile or digital before it, but a force that changes how companies are structured, how decisions are made, and how leaders must think about competition.
• AI should be treated as a co-intelligence tool — an “Ironman suit” for leaders.
  Instead of replacing humans, AI augments their capabilities. Leaders who embrace AI can make smarter, faster decisions and guide their organizations more effectively. The metaphor of the Ironman suit captures this idea of augmentation rather than substitution.
• Culture and experimentation matter more than the tools.
  Mindset, governance, and a willingness to experiment are the foundations of becoming AI-first. Adam and Andy stress that companies need structures like AI councils, experimentation frameworks, and a culture that celebrates rapid prototyping in order to integrate AI across the organization.
• The urgency is real: companies that delay will fall behind.
  Jeremy and Henrik underline this in their closing reflections — businesses cannot treat AI as optional or wait for perfect clarity. The pace of change is accelerating, and organizations that don’t engage now risk losing ground permanently, while those that act can reinvent themselves and secure long-term advantage.

Forum3: Digital Strategy for the AI Era | Forum3
AI First book: AI First Book | Forum3
Andy LinkedIn: Andy Sack | LinkedIn
Adam LinkedIn: Adam Brotman | LinkedIn

00:00 Intro: The Urgency of AI
00:19 Meet the Authors & The Premise of AI First
03:43 Defining an AI-Forward Leader
05:02 Adoption, Resistance & the AI Wake-Up Call
08:01 Why Mindset Matters More Than Tools
09:39 Experimentation, Governance & AI Culture
14:09 Re-architecting Organizations for AI
28:42 Balancing Innovation and Safety
35:45 The Evolution of AI Safety
37:46 Open Source vs. Closed Source Debate
40:07 AI’s Role in Organizational Agility
41:32 Human Augmentation & Co-Intelligence
42:34 The Future of AI and Autonomous Agents
46:14 Prototyping, Vibe Coding & Rapid Innovation
54:02 The Future of Organizational Design & Final Reflections

📜 Read the transcript for this episode: Transcript of The AI Playbook Every Leader Needs: A Chat With Adam Brotman & Andy Sack

For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:

Henrik: https://www.linkedin.com/in/werdelin
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Show edited by Emma Cecilie Jensen.