Brice Challamel's Recent LinkedIn Posts

🎁 My new LinkedIn Learning course is live, and it's free for you this weekend with the link below, no subscription needed! Quick heads-up: The free access has a 24-hour clock that starts the moment you click. I timed this specifically for the long weekend. The course is under 2 hours, it's Sunday, and you've got President's Day tomorrow! "From Tools to Teammates: Working Smarter with AI" is the result of 6 months of work turning everything I've learned about AI adoption into an interactive, practical course. The reason I built this course is that AI has evolved from "something we speak with" to "something that works for us", and most people are only scratching the surface. We're past the era of using AI as a simple tool and writing better prompts. The real unlock now is learning to orchestrate a small AI staff, each teammate with a different role. In the course, we walk through four specific teammates: ✒️ The Assistant: For the repetitive, high-volume heavy lifting. 🎓 The Expert: For deep domain knowledge and specialized logic. 💪 The Coach: To challenge assumptions and feed our growth mindset. 🎨 The Creative: To brainstorm and spark ideas we wouldn't reach alone. Alongside with us, 🪄 The Orchestrator, they form the Team of Five to build knowledge, get things done and thrive in life. This course took a village. Huge thanks to Marjorie Page for leading the charge, Peter Fuller for producing the vision, and Aron Ives for directing the action. I'll be sharing the full story (and the rest of the awesome crew) in a special edition newsletter article later today, with behind-the-scenes footage and anecdotes from the Santa Barbara Studio week. ✨ One more thing: a companion course on AI Culture is coming soon, recorded with my dear friend Jeremy Utley (Stanford d.school). So stay tuned! 👇 In the meantime, which teammate will you put to work first: the one you use most already, or the one you've been ignoring all along? #LinkedInLearning #AI #AIAdoption #FutureOfWork #ToolToTeammates #Leadership

🔥 Two weeks ago, we launched From Tools to Teammates on LinkedIn Learning. Today, with 10k learners and a 4.7 rating, I feel humbled and grateful. The adoption in not only great, it seems to be accelerating, at least in these early days. 🌍 What these numbers don't show is the diversity. When I open the analytics tab, I can see who’s completed the course: Electricians in Japan. Teachers in Oman. Nurses in Australia. Students in South Africa. Graphic designers, scientists, athletes, entrepreneurs, accountants… The range of professions and geographies is so inspiring. I didn't realize the reach of this platform and the global appetite for AI learning. The public comments mean a lot too, especially from people I’m 3rd-degree connected to (or more) and wish I knew better: ✨ “Interesting. Easy to follow. Informative.” ⚙️ “I have incorporated it in my work.” 🌱 “It’s a crazy new world out there.” This is exactly the type of impact I hoped for, and more. This course was a collective effort and it was shaped by you. By months of discussion here and debates, pushback, nuance, ideas that got refined in our conversations. So this is a heartfelt thank you for your trust, your curiosity, and for sharing and championing AI in general and this course in particular. In case you've missed it, I'm resharing the link to take the course for free in the comments. ✨ This momentum belongs to all of us. Exciting times ahead! #AI #FutureOfWork #Learning #Gratitude

🔥 I'm thrilled to announce that I'm hiring three senior leaders to help build our AI Strategy & Adoption organization. Two months into my new chapter at OpenAI, I have met dozens of C-Suite Executives from all industries, and interviewed about a third of our Go-To-Market team. One thing is clear: enterprise leaders are not asking whether AI matters anymore. They are asking how to make it real. AI Strategy & Adoption's mission is to help them make the leap from ambition to measurable value and reinvent their business in the age of AI. This is why we are building a leadership structure across the full arc of transformation: 1️⃣ Head of AI Executive Partnership A trusted advisor to CEOs and C-suite leaders, combining executive engagement, thought leadership, and industry insight to shape the strategy required to turn ambition into durable capability.  2️⃣ Head of Experience Architecture A seasoned leader of executive transformation experiences, designing executive roundtables, operational workshops, facilitation strategy, and building the AI-powered digital layer that supports the full journey. 3️⃣ Head of Strategic Execution An experienced builder of transformation delivery programs, orchestrating governance, partner collaboration, cross-functional coordination, and operational excellence to turn strategy into coordinated execution. These roles are not about advising transformation but modeling new ways of working with our most strategic customers and partners. Success means leveraging these lighthouse partnerships to build repeatable frameworks that will scale OpenAI’s enterprise transformation model globally. If you’ve successfully led enterprise-scale strategy, adoption and transformation in any of these capacities, or know someone who has, this is a unique opportunity to shape the next generation of business partnerships at the core of the AI revolution. 📍 Based in San Francisco or New York City, hybrid with 3 days/week in office. Relocation support available. 👇 Application links for all three roles in the comments. #OpenAI #Hiring #AITransformation #EnterpriseAI #OperatingModel #ChangeLeadership

The AI:ROI Conference, now featuring Brice Challamel of OpenAI. Join us on March 5 for a day of free AI strategy sessions that you can fast follow on next-day. And stay until the end to hear from Brice - a fan-favorite of Section events, now repping OpenAI. RSVP free: https://lnkd.in/gSwJtkYj

🔥 A week before Christmas, chaos hit our family like a tidal wave. Instead of staying above water, I built an app. A week before Christmas, life fell apart. My wife had to fly to France, while I traveled with our kids to a fencing event. I looked for an app that could help me with everything. Registration. Planning. Packing. Competition. Debriefs. Notes. Video links. Lessons learned. Nothing fit, so I did the only thing that made sense in 2025. I described the situation to ChatGPT, leveraged the new integration with Lovable and started building. In two weeks, between fencing strips and hotel corridors, I turned that mess into a working app we now use for every tournament. Here’s what I learned: 🧠 AI can now help us design amazing applications 📱 It can live inside the app as a feature 🧾 It can even build real world integrations This is how chaos becomes opportunity: you stop adapting your life to the software that's available… and you start shaping software that adapts to your life. Ghislaine and Coach David were part of the feedback loop in real time, which made AI feel less like “tech” and more like a teammate in this conversation. If you’ve been waiting for “someone” to build the tool you wish existed, this is your invitation, because you are definitely someone now! 👇 The article below walks through the build, the architecture choices, and what it changed for how we approach an entire fencing season. Read it, steal the pattern and build your own version for whatever chaos you’re carrying right now. I can't wait to read your experience and feedback! #AI #VibeCoding #NoCode #FutureOfWork

🔥Some personal news: today is my last day at Moderna, after five amazing years among some of the most exceptional people I've ever met and worked with, and inspired by a profound sense of mission and purpose. I want to say a huge thank you to everyone who helped turn “the promise of AI” into real impact for the company and, ultimately, for patients. As a community, we’ve managed to: 💯 Reach 100% AI adoption 🤖 Build and use 10,000+ GPTs 💬 Exchange 10M+ AI messages in six months What makes me proudest isn’t the adoption numbers though, but how they translated into faster decisions, better drug discovery and trial design, smarter production and higher quality overall. Our work is now studied as one of the most ambitious enterprise AI rollouts in the world, featured in a best selling book (AI First), a Harvard MBA case and OpenAI’s State of Enterprise AI report. None of this would have been possible without four communities: 👉 Moderna’s leadership for backing this transformation program from day one, insisting on safety and value, and giving our AI trailblazers the sponsorship they needed to thrive. 👉 The Moderna AI community where curiosity, creativity, and deep domain expertise met every day. I’m especially grateful to Adrian Masson, Giraldo Hierro, Molly Nagler, Wenhao Liu, Suresh Nulu, Nathan Sauveur, Jonathan Hoggatt, Dan Stover, Danny Slingerland, Shekhar Sattiraju, Kate Beresford O'Malley, and Andrew Giessel, Carlos Peralta as well as SO many others who shared ideas, news, prompts, code snippets, use cases and candid feedback. You made our AI community the place people came to learn and build. 👉 Our partners at OpenAI across Research, Product, Marketing, and Go-To-Market. Thank you for treating this as a shared mission, and helping us discover what responsible scale looks like for AI in biopharma. 👉 This LinkedIn community, which has been a constant source of inspiration and feedback. Thank you for being such amazing partners, and making this platform a second home for me. If there's one thing I learned from this experience, it's that lasting AI transformation is first and foremost about empowering people and making sure they are heard. I’ve loved the late-night threads, the quick fixes, the strategy debates, and all the small wins that added up to real change. In my next chapter, I’ll continue working at the intersection of AI, culture, and large-scale transformation. More on this soon, so stay tuned... 😇 In the meantime, if you’re thinking about how to get from AI experiments into real, responsible impact at scale, I’m always happy to compare notes! I’m leaving this chapter with collective pride and deep gratitude. It's been awesome. Onward. 💫 #AI #DigitalTransformation #FutureOfWork #Grateful

🔥 Last week, a book was pulled from the shelves. Not because it was bad, but because of how it might have been written. Not plagiarism or poor reception by the readers. Suspicion of assistance. The author's response: "My mental health is at an all time low and my name is ruined for something I didn't even personally do." As a published writer, I know how winding the creative process actually is. No one writes alone. You test ideas, borrow structures, absorb voices, ask for feedback, discard most of it, keep a fraction, and slowly shape something that can be presented to readers. You write under constant assistance. What's happening here isn't about craft. It's about identity, conservatism and hypocrisy. AI is forcing a confrontation with a story many writers and publishers hold onto: that the value of the work is inseparable from the purity of the process. To the point that it defines art. But when suspicion of assistance alone is enough to erase someone's work, are we making a judgment about what it brings to the world, or reacting to a technology shift that feeds our insecurities? 👇 Here is what I think about it. Including why I believe it will pass faster than we expect. #AI #Writing #Creativity #Publishing #FutureOfWork

🔥 My plane to OpenAI was 3 hours late, so I started coding. Then I started thinking. And then, I started dreaming. On January 5th, while stuck at Logan airport on my way to the OpenAI onboarding, my mind was spinning. I had a choice: sit in the frustration of the delay or lean into the "joy coding" headspace I've been living in for the past months. I was still inspired by Erika MacMillan's awesome demo at the Mindstone AI Meetup in Boston of her voice assistant built on Make. And I had an intuition that I could try to emulate it with Responses APIs, all in a single app. I turned on my phone and started whispering instructions which resulted in Mentalyst, and AI-Powered knowledge assistant that captures all my ideas on the fly to build a graph of my inner life. And that's when it hit me. We often think of coding agents as "developer tools," but we’re entering an era where they solve the universal problem of modern life: dependency management. When a system loses coherence, it crashes. Whether that system is a codebase, our mental health, industrial SOPs, a legal framework or a climate model. Coding agents are evolving to handle the "thankless work" of tracing every impacted file and updating every reference so the system remains whole. This is how AI is about to move beyond the screen to solve so many of our real-life challenges: ✍️ Writers can maintain consistency across a 500-page book when a character's trait changes. 🔬 Researchers can manage thousands of citations and evolving hypotheses at the edge of science. 🩺 Clinicians can reason over the cascading consequences of changes in complex organic environments. 🏗️ Engineers can navigate industrial webs of procedures and supply chains that are too dense for a single mind or any software. For this, all they need is to reclaim their LEGO Instinct and start building again. I've written about this before. We'll all be using AI everyday. The gap ahead of us won't be between those who use AI and those who don't. It will be between those who drive it and those who are driven by it. And you don't need to be a professional developer to get started. You only need to translate your messy experiences into simple instructions, one whisper at a time. I have a major in Culture and Communication from a business school. If I can, everyone can. And you (yes, YOU) most of all! ✨ 👇Read the full article below, and let me know in the comments what you think... or if you're interesting in alpha testing Mentalyst. This way we'll be joy coding together!

Are you joining us, and 17,000 others, on Thursday to get proven value-adding AI strategies you can fast-follow on first thing Friday? Here's what you could be sitting in on: The Biggest Questions on AI Today, Scott Galloway & Greg Shove Integrating AI into Team Workflows, Matt Lyteson The State of the AI Market, Mark Mahaney The Biggest Opportunities for AI ROI in Healthcare, Kristin Myers Governance as an Accelerant for ROI, DJ Sampath The Pilot-to-Production Process at UKG, Prakash Kota Bringing a Legacy Business into the AI Era, Edo Segal Managing Your AI Agent Ecosystem, Diane Igoche, PhD AI as a Growth Lever, Wade Foster Siemen’s Matrix for High-Value AI Initiatives, Hans de Visser The 5 AI Value Models, Brice Challamel Get proven strategy from leaders at OpenAI, IBM, Cisco, UKG, Siemens, Salesforce, Cisco, and more. RSVP for free: https://lnkd.in/gSwJtkYj

🔥 My new LinkedIn Learning course is live! Here is more about content & behind-the-scenes. Link to access it for free in the comments! One evening after a long day recording my new course "From Tools to Teammates: Working Smarter with AI", I walked into a restaurant, ordered dinner and opened my Kindle. And then it hit me. Every table around me was talking about AI. 🍷 A couple debating whether their daughter should use AI for homework. 👯 Friends comparing images they had just generated. 👨‍👩‍👧 A family laughing about something a chatbot had said. That moment stayed with me. I was in the process of recording the course, and witnessing in real time how much AI meant to everyone already. Could we contribute to these discussions in a positive way? Two years earlier, Adrian Masson and I had opened GPT-4 access to every employee at Moderna, and asked “How can this help you at work?” We received more than 300 answers in a matter of days. They fell into four patterns, that are still current: ✒️ The Assistant: For the repetitive, high-volume heavy lifting. 🎓 The Expert: For deep domain knowledge and specialized logic. 💪 The Coach: To challenge assumptions and feed our growth mindset. 🎨 The Creative: To brainstorm and spark ideas we wouldn't reach alone. 18 monts later, we ran twelve focus groups with David Porter to understand why some people thrive with AI while others don't. The biggest differentiator was not technical expertise, line of business or job level. It was daily usage. That insight required a method and a new role. The human Orchestrator, which provides daily information, intent and value to the Team of Five. A CADENCE guides this role: Contract. Architect. Dialogue. Explore. Nudge. Capture. Embed. If this seems a lot, I invite you to see it at work in the course with concrete, simple examples. Because something happened during the recording week. By Monday, the team was still new to AI, by their own admission. By Friday, they had all leaped into daily practice. They were building. Sharing. Learning from each other. This Dream Team of extraordinary professionals became the first graduates of the course! Its quality is a testament to their passion and professionalism and I give them a huge, well deserved shout-out in this article. It tells the full story behind the course. And if you missed my post sharing it earlier today, I'll put the link in the comments as it grants you free access without the need for a subscription. One simple rule: once you click on the link, you have 24 hours to take the course. It's like renting a movie on a streaming platform! 👇 If you’re curious about how the four teammates, the Orchestrator cadence, and that restaurant moment all came alive, the full background story is just below. ✨ Let me know what you think, and enjoy the course!

🔥 On Monday, I joined OpenAI as Head of AI Strategy and Adoption. Here is why, with three stories. Ten years ago, Ghislaine and I left Paris for the Bay Area where I joined Google. Five years later, we moved to Cambridge, and I had the privilege to support Moderna’s fight against Covid. We're now coming back to San Francisco. Three stories illustrate the journey that led to this decision. 🎵 A car ride during which ChatGPT invited my daughter to Bach's music, and opened a bridge between her world and mine. 🧬 Three years at Moderna, where “speaking to data” helped teams harness knowledge and intelligence for better medicine. 🎓 A day at Harvard, with MBA students whose experience and vision are already shaping a new business paradigm with AI. These moments converged towards a simple conclusion: To truly serve this transition, I needed to be where the future is being forged at its core. My focus at OpenAI will be translating frontier research into tangible strategies for global enterprises, so early adoption is useful, ethical, and transformative. This new chapter isn’t about comfort or career. It’s about believing in human potential, and our commitment to ensuring that this new era empowers more people, not fewer. Once again, it's about love. #AI #Leadership #Transformation #Love

🔥 All I hear about is vibe coding, but that term no longer applies. We have shifted from AI that speaks to AI that works, and there's no going back. I've used the term myself. But "vibe" felt too small. Cute, but not serious. With last week's launches of Claude Opus 4.6 and Codex 5.3, that framing has now become completely obsolete. Here's what's actually happening and why these agents are captivating the world: AI is shifting from something that speaks with us to something that works for us. At the end, what's left is a software. And that shift is about to trigger one of the fastest redistributions of power in history. For centuries, intelligence stayed enclosed. First in monasteries. Then in bookshelves, and now in code. The first decades of the software era will be remembered for a tiny group of heroic "digital scribes" bridging the gap betweeen what people imagined and what machines could do. Two barriers kept that bridge locked: fossilized interfaces designed for mechanical constraints that no longer exist, and the tyranny of syntax, a tax in precision we needed to pay before earning the right to create. Both are falling. AI simultanesously shifts the interface from keyboards to speech and the logical layer from code syntax to language. The most sophisticated logical system you and I ever mastered. That changes everything about who gets to build. When we build something for ourselves, our team, our family, we're creating a living interface that makes life clearer, lighter, more capable. These new apps stop feeling like "projects" and start feeling like works of art. Often, works of love. But joy without craft is just enthusiasm. Joy coding needs to be the combination of freedom and discipline. The freedom to build at the speed of thought. The discipline to build things that hold up when others depend on them. The tools are extraordinary and maddening in equal measure. The freedom is real. The friction is real too. That tension is the terrain and navigating it well is what separates a first thrill from a sustained practice. It will get (even) better soon, but there's no reason to wait anymre. So in the meantime, you know what to do: start whispering to the AI and... en-joy! ✨

🔥 I’ve changed my mind about AI ROI. 📅 I'll explain why on March 5, 5:00–5:45pm ET. I'm honored to close Section's AI:ROI Conference in a live conversation with Greg Shove. Here’s the trailer: For a long time, I compared AI to electricity or the internet. A utility so fundamental that calculating ROI felt almost irrelevant. The value was obviously greater than the cost. But the landscape has evolved, making ROI a much more interesting topic. We’ve moved through three eras in record time: 🧩 The Technology era: APIs to increasingly powerful models, transforming our relationship with knowledge. 🏢 The Platform era: enterprise-grade agentic platforms with governance, permissions, and integration into systems of record.  🌊 The Transformation era: AI as a catalyst, reshaping customer experience and business models. We are shifting from AI that speaks with you to AI that works for you. Re-engineering business processes, coding for every knowledge worker, and accelerating scientific discovery. The upside is bigger, and so is the investment: planning, security, data, architecture, governance, change management. The challenge is no longer just adoption. For frontier companies, it has become managing an ever-increasing portfolio of AI value models with multiple, interwoven time horizons. The lineup of this event alone tells you this won’t be a panel of theorists:  📊 A Wall Street analyst covering the companies building AI.  🏥 A CDO transforming healthcare delivery.  🎵 A CTO reinventing how people experience music.  ⚙️ Enterprise CIOs who turned AI into operating models at scale.  🛡️ Leaders shaping how agents are governed and platforms are secured. I'm honored to share the stage with: Greg Shove (CEO, Section), Scott Galloway (Professor, NYU Stern), Prakash Kota (CIO, UKG), Diane Igoche (Director of Agentforce Governance, Salesforce), DJ Sampath (SVP of AI Software and Platform, Cisco), Mark Mahaney (Sr. Managing Director, Evercore ISI), Kristin Myers (CDO, Northwell Health), Edo Segal (CTO, Napster), and Raymond Kok (CEO, Mendix). If you’ve been looking for a deep dive and a genuine conversation on where the value actually lives in 2026, I can’t wait to see you there. 👇 Registration is free (infinite ROI!) - link in the comments. #AI #AIROI #EnterpriseAI #BusinessTransformation #OpenAI #Section

🔥 AI Champions, you are all lunatics in broad daylight. It takes imagination and courage, and I'm grateful for you! When I joined OpenAI, I decided to refrain from posting anything for a month. All the while, I was reading my LinkedIn feed, impressed by how profound and relevant it is. This has become, by far, my favorite news media and I realized something more. I feel lucky to be part of a community of people who embrace AI change the way builders always have: trying things, sharing what worked, admitting what didn’t, and doing it with our names and faces attached. Today, “lunatic” sounds like an insult. It traces to the Latin lunaticus (“moonstruck”), tied to old beliefs that the moon could affect the mind. But it has another historical reference I love. During the Industrial Revolution, a circle of inventors, industrialists, and scientists in Birmingham used to meet around the full moon. It made the trip home safer on dark, unlit roads. They called themselves the “Lunaticks.” They argued, prototyped, challenged each other and helped shape the modern world. We don’t meet by moonlight in private homes anymore (even though…). We meet in public. On feeds. In comments. And it takes a certain kind of courage: 🧪 To experiment in public and share failures 🗣️ To learn out loud and show our limitations 🛡️ To keep going when antagonists heckle 🕯️ To be a beacon of light in a world of fear So when Jeremy Utley writes another Methods of the Masters article, Or records with Henrik Werdelin for the Junto community... When Greg Shove hosts another Section livestream, When Seth Wylie and Erika MacMillan organize a live demo evening, And Barbara Salami brings AI "kaindly" to the world... When Karim Lakhani, Iavor Bojinov, or Ethan Mollick share research, When Craig Foldes invites real trailblazers to show their work, When Giraldo Hierro designs a fantastic new demo, And Andrew Giessel or Eric Ma explore a new agentic concept... When Adrian Masson discovers a new AI paradigm, When Eric Porres takes it to the stratosphere, When Don Vu and Charlie Hughes explore how it applies to modern day workers, And Marjorie Page and Kate Gagnon turn it into knowledge and Tanya Dua into a headline... When you read, react and comment on any of it... It all happens here. Not under the moon, but in broad daylight. I’m delighted by it. Inspired by it. Energized by it. And I feel incredibly lucky to be part of it. So this is a salute to all of you, dear modern lunatics. The people building, testing, teaching, sharing, and staying generous under any and every circumstance. Discussing the most sensitive topics with kindness, honesty, and intelligence, the three most important qualities any human can have. You’re part of what makes this moment precious and unique. I’m grateful for you. ✨ #AI #Leadership #Innovation #LearningInPublic #FutureOfWork #Builders #Community

🔥 Right before we press “Send,” many of us feel a flicker of doubt: is this good enough? In this flicker lives or dies our agency. The temptation is obvious: ask the one voice that always has an answer. Get “one more iteration” from our favorite AI model, landing exactly when our own clarity is fading. This reflex isn’t wrong. AI can be a fantastic last-mile editor. The problem is when the loop doesn’t close properly, and “helpful” turns into “authoritative,” especially in subjective terrain like naming, tone, values, and judgment. A recent study on “disempowerment” made the risk feel concrete: researchers reviewed 1.5 million AI conversations from a single week (December 2025) looking for patterns where model behavior could distort beliefs or steer choices; the headline wasn’t catastrophic, but the paper demonstrates that mild patterns are common, and the loss of agency can intensify over longer exchanges. That resonates with how it feels in real life: influence doesn’t always show up as a dramatic manipulation. It arrives softly, through our wish to get something exactly right, our susceptibility to a final polish, and that universal hesitation before we press send. In the article below, I share a handful of habits that I have been working on to help me keep AI in the role of advisor, without letting it be a substitute for my own judgment: 🪧 Name the decision before you prompt (slow down when consequences are real).  📝 Write your intent first, in your own words, as an anchor.  🧱 Ask for challenge, not just validation (assumptions, tradeoffs, counterarguments).  ⏸️ Build a pause for important decisions (reread slowly, step away, sleep on it if possible).  ✍️ Keep consequential wording human. And as the stakes are rising with the broader AI adoption and its arrival at the workplace, I see a three-stage shift many of us are living through: 📍 Stage 1: we pressed send alone, with no outside voice to borrow certainty from. That's our old normal, before AI. 📍 Stage 2: we can now turn to AI instantly, but we’re still learning how to close the loop, accept “good enough,” and avoid outsourcing judgment. 📍 Stage 3: we build a culture that protects agency by design, where the individual habits, team norms, and organizational guardrails reinforce each other. This is no silver bullet, but a solid framework to start “reclaiming agency” in the age of AI. Have you felt that drift, and if yes what are your own ways to mitigate or build beyond it in your own daily practice with AI? #AI #Leadership #FutureOfWork #Influence

🔥 I've learned something precious from the three women closest to me, and the way they use AI. During the holidays, my mother, my wife, and my daughter were all under the same roof. I’ve spent years building technology adoption programs, writing frameworks, and helping organizations drive change. But I had never made the proper time and space to fully listen to the three women closest to me about how they actually live with AI. So we discussed it together, and agreed that I would interview each of them. No agenda. No leading questions. I simply listened and learned. And they agreed for me to share what surprised me most. 👵 My mother Fanny, now in her seventies, found agency in the quiet hours. She named her AI companion from GPT to “Gepetto,” and used it to navigate a world she once shared with my father. AI was a presence for her in the quiet hours. 👩 My wife Ghislaine found a way to build bridges. She used AI to translate training materials into Haitian Creole for food workers no company had ever valued enough to reach. AI was a way for her to set a longer table. 👧 My daughter Heloïse, twelve years old, caught up with homework thanks to the Study mode when she missed days at school because of fencing tournaments. AI was simply there for her, as natural as running water. And the discussions went on, until the point where I asked each of them why they used AI, even though their environment wasn't always supportive of it. Three generations. Three relationships. And not one of them framed it as productivity, disruption, or competitive advantage. They talked about something else entirely. If you’re building communities with AI, leading teams through it, or raising kids alongside it, I think you’ll recognize it too. If you also make a moment to listen to the three women in my life with the article below, please let me know what you heard, and how it resonated with you. Until then, Happy Holidays. #AI #Courage #Inclusion #Curiosity #TheOnlyThing

🔥The OpenAI partnership announcements that keep coming are just the surface. What’s really happening is the emergence of a new paradigm for society. In the last few months, OpenAI has signed a staggering number of partnerships that touch almost every part of human life: The Atlantic, The Financial Times, Walmart, Target, PayPal, Intuit, Expedia, Booking, TripAdvisor, Deutsche Telekom, T-Mobile, Accenture, BCG, PwC, Adobe, and today Disney. Individually, each announcement is impressive. Together, they are the next darwinian evolution of our relationship with knowledge and intelligence. 🛍 Caring for our homes and families Walmart and Target are launching AI first shopping experiences directly inside ChatGPT. We can plan meals, refill essentials, and pick gifts for our loved ones in a single conversation, informed by the memory of all the others, and check out instantly. 💳 Protecting financial health Intuit is bringing TurboTax, QuickBooks, and Credit Karma into ChatGPT while PayPal is wiring payments and millions of merchants into Instant Checkout so that the combination of financial planning and spend becomes a natural way to support our lives and projects. 🌍 Exploring the world Expedia and Booking.com are turning ChatGPT into a travel hub where our constraints and preferences drive the flow instead of us juggling ten open tabs and sweating over ticket price swings. The system holds our intent, and does the cross referencing for us with the ability to anticipate and plan ahead with weather, holidays, events, etc. 🎬 Sharing stories and culture Disney’s new billion dollar investment and partnership with OpenAI licenses more than 200 characters into Sora and ChatGPT. Fans will be able to co create short stories and videos with the worlds they love, under thoughtful guardrails. Bob Iger is not negotiating around AI, he is composing with it. 📶 Staying connected T-Mobile and Deutsche Telekom are building AI platforms and becoming distribution channels for ambient AI woven into everyday connectivity. 🧠 Growing at work and in our jobs Accenture, BCG, PwC and others are rolling out ChatGPT Enterprise to their people and bringing it to their clients. At the same time, data connectors to calendars, emails and documents collapse the productivity suites from Microsoft and Google into a single conversational interface. And all of this is happening before dedicated AI hardware has even arrived! When I was at Google Cloud, transformations of this scope took years of negotiation, hesitation and deployment. Now they happen in months, if not weeks, and their impact is immediate. These partnerships all map to human fundamentals. For that reason, they represent both an extraordinary opportunity and a huge responsibility to empower more people, not less. And at that condition, THIS is the world I want to welcome my children into. 👇 What are you noticing in your industries and in your lives? #AI #DigitalTransformation #FutureOfWork #EnterpriseAI

🔥I've extensively compared Gemini 3 Pro and GPT 1.5 Images and I like one best, not because it does more... But because it does less! Exactly one month ago, Google launched Gemini 3 Pro Image, aka "Nano Banana Pro," a powerful image model that wowed many, including me. I even shared a post celebrating how good it was at richly detailed infographics and visual humor. But this week, I tried something different. 🧪 I gave the same prompt to Gemini 3 Pro Image and to OpenAI’s new GPT Image 1.5 model, that launched 2 days ago: a simple infographic with 8 bad habits to lose in the age of AI. And a simple prompt, in thinking mode for both: "Improve the illustrations." The contrast between the two outputs revealed something deeper than image quality. It revealed the respect of intent. Gemini did more than I was expecting. Much more. It added scenes, arrows, contrast, before-after logic, AI "solutions" layered onto each frame. Even colors were updated with a flashy turquoise blue. The result? Over-engineered, over-explained, and, ironically, over-illustrated. GPT, instead, did less. And in doing less, it did something brilliant. ✨ It honored the intent behind this illustration: — To spark a conversation, not prescribe answers — To highlight bad habits, not solve them on sight — To blend into the visual tone I’d already chosen, not overwrite it — To simplify, not crowd the image with tiny details And that is why, after dozens of side-by-side experiments similar to this one, I’m finding myself leaving Gemini and returning to ChatGPT for nearly all my design work. Not because it's flashier (it's not), but because it understands something most image models still miss: great visual design is not what you add, it’s what you leave out. 👇 I’ve attached both images below. You be the judge. Which one most respects the conversation we need to have about AI Habits? #AI #Design #FutureOfWork #IntentMatters

🔥During the holidays, I took my kids to the movies. The opening line: “Wars, pandemics, climate change, AI. We all need magic more than ever.” I work in AI and there it was, casually grouped with the great devastations of our time, as if it belonged. What should my children think? What should yours? I pulled up the 2025 data for each one of the global threats mentioned. 🪖 War: 240,000+ deaths. 🦠 Pandemics: 1M+ deaths. 🔥 Climate: 550,000 heat-related deaths. 🤖 AI: A handful of headlines and court cases. So how did AI earn a seat at the table of apocalyptic disasters? A historical dive shows familiar patterns that we've seen before: ✨ With the printing press, railroads, electricity, computers, mobile phones… ✨ First come the real risks, then a tragedy, then the runaway fear. ✨ Often dressed in science. Often aimed at kids. Always shaped by symbols. And now, AI has its own. A teenage suicide. A beloved cat ran over by a self-driving car. The runaway fear that AI will dry our lakes. And a bestselling book titled "If Anyone Builds It, Everyone Dies". In this article, I trace the anatomy of a panic and ask what it costs us when fear outpaces facts, again and again. 📉 It warps public understanding. 🚪 It slams the door on nuanced conversation. 🧠 And it depresses the next generation. AI is not the fourth horseman but an augmentation of human capability. How we use it will define its impact. How we foster togetherness and collective intelligence to shape a future with peace, health, sustainability, and AI to serve them all. 👇 Read the article, share if it resonates and tell me: Have people close to you been hesitant to use AI because of water usage? What other fears are you hearing and how are you building the conditions for dialogue and collective intelligence about the future of AI? #AI #FearCulture #PublicUnderstanding #FutureOfTech

🔥 AI is an incredible roaster. You don’t believe me? Try it. This morning started with a ridiculous problem: my protein smoothie turned into an undrinkable gel-foam monster. Same recipe. Same blender. Made no sense. So I did what any reasonable adult would do: I treated breakfast like a physics lab, asked ChatGPT to analyze it, debugged foam collapse, fixed it… and celebrated like I’d just stabilized a nuclear reactor. At the end of the whole experiment, Ghislaine Challamel, MS looked at me and said: “Now you need to ask AI to roast you.” That idea didn’t come out of nowhere. During an AI off-site retreat she recently moderated for the Teaching Kitchen Collaborative, one of the participants suggested it. The entire audience of about 40 people tried it and laughed to tears. According to her, it became a moment of joy and the highlight of the entire event. So I typed: “Now roast me! 🤣” The result was so accurate, affectionate, and funny that I read it out loud and we immediately started laughing. Then I typed: “Roast my wife Ghislaine.” And somehow, the second roast drove my entire family, grandparents included, into a fit of laughter! What followed was one of the funniest moments we’ve had as a family in a long time. All of us around the breakfast table, laughing together, rereading lines, reacting, adding commentary, suggesting new roasts. And here’s what struck me: if we only think of AI as a tool for productivity, efficiency, optimization, etc. we are missing the point entirely. AI is also a wonderfully playful thinking partner. It can bring humor. And humor matters. A lot. Laughter lowers defenses. It fosters emotional grounding. Playfulness invites experimentation. Togetherness builds trust. In this case, AI didn’t make us faster or more efficient. It brought us closer together. So “roast me / roast my spouse / roast my friends / roast my colleagues” is now officially one of my favorite AI best practices. 💫 I’ll attach screenshots from the session. And if you try it and like it also, I'd love to read your favorite roasts in the comments! #AI #HumanCenteredAI #Playfulness #EmotionalIntelligence #FutureOfWork #FutureOfLife

A huge shout-out to my colleague and friend Christina Meng who leads the AI Champions program at OpenAI. In this Gainsight podcast interview, she explores the human transformation challenge that makes or breaks AI adoption, a topic dear to my heart and hopefully to yours also. Here are some of the themes she covers: 🤝 AI adoption requires more than access, it scales when people are equipped, supported, and connected. 🚀 The most effective organizations don't treat champions as enthusiastic users but change catalysts. 🏗️ Structure goes a long way: executive sponsorship, champion leads, and internal communities to define concrete new ways of working. 🔄 The real opportunity is business transformation that covers all the bases from productivity to reinventing business. Moving from deployment to proficiency, and from isolated use cases to organizational change may be the most important value driver of AI. Christina does a superb job at explaining why and how Champions are the nuclear engine of that shift. Well worth the listen! #AI #ArtificialIntelligence #AIAdoption #ChangeManagement #EnterpriseAI #CustomerSuccess #DigitalTransformation

🔥If we all get the same answers from AI, will we all end up thinking the same way? It depends how we use it... For decades, the Internet has promised all of human knowledge, available to all of us, and personalized to all our needs. AI is starting to deliver on that promise. Imperfectly, and unevenly across cultures and languages, but in a format we're all familiar with: back-and-forth conversation. And how the conversation goes matters. During a recent executive meeting, someone asked a sharp question: “Is there a risk that AI standardizes human thinking?” If everyone asks similar questions to models trained on similar datasets, do we all get the same synthesis and converge toward the same default conviction? There’s a kernel of truth here. I think of it as the jukebox effect: 🪙 Coin in 🎵 Song out 🔁 Again and again... One simple move makes a huge difference: turning the table. Instead of asking AI for answers, asking it for questions. Here's a prompt I've been using: “Interview me on [topic]. Share your structure first, then ask one question at a time. When we’re done, synthesize my perspective and propose an unconventional challenge to go further.” I’m always fascinated by the questions. Halfway through, I often notice I’m already thinking differently about the topic. In this type of AI interaction, we still do the thinking. And it gets broader, sharper and more intentional in pushing boundaries. 🎓 We explored this topic further with Leonard Schlesinger at Harvard University under a different lens: the impact of AI on student knowledge and higher education. His framing is that, as AI synthesizes current human knowledge on demand, the role of professors is to take the classroom beyond that horizon. To do so, they must gain an intimate knowledge of the technology and the answers it provides. This was probably already true in the age of search engines and databases. AI makes it unavoidable. That discovery mindset can also accelerate the transition from “relative innovation” (new to me or my audience) to “absolute innovation” (new to the world). The kind that starts with unmet needs, and ends with next-generation products, services, or science that didn't exist before. 🔎 The edge of AI, for me, is exactly there: AI gives us a baseline of human knowledge. And then it dares us to take the next step. Where have you felt that shift most clearly, with or without AI? #AI #Leadership #Learning #Innovation

🔥 This week, instead of publishing in my own newsletter, I contributed to the newsletter of my friend, colleague, and mentor Jeremy Utley. The piece is called "From Authorship to Stewardship", and Jeremy published it in his awesome newsletter Methods of the Masters. AI is becoming deeply useful in the production of knowledge work. It can help draft, synthesize, analyze, reframe, and prototype. It almost always accelerates the speed of the process and often improves the quality of the output. But productivity and quality are not the only changes at stake here. For a long time, our sense of ownership came from the fact that we were the authors. We worked hard on multiple drafts. We argued our way into clarity. The final result may not have been perfect, but it felt like ours. Now we increasingly work with systems that can generate impressive first versions before we have fully decided what we think. This is powerful, but it creates a new challenge. It becomes possible to produce something very good without feeling truly connected to it. That is where stewardship comes in. A concept that I first became aware of in a conversation with the amazing Axelle Bagot, a fantastic thought leader and a dear friend. Our role is moving away from doing every part manually and toward guiding the work. We frame the problem, decide what matters. We review the tradeoffs, what to keep, what to reject, and what to stand behind. We are still accountable, but in a different way. And beyond the method itself lies the issue of momentum. A good-enough idea with real believers behind it is usually more powerful than a brilliant idea that nobody carries forward. What makes an idea matter is not only its relevance. It is the willingness of people to contribute to it, reshape it, and push through the friction that always comes with achieving something great. That is why the perception of ownership matters so much. Ideas need champions. In my LinkedIn Learning course, From Tool to Teammates, I share a framework to stay engaged in the process rather than becoming a spectator of our own work with "upsteam" and "dowstream" stages on both sides of the AI interaction: 📜 Contract: Define the mission. 🏗️ Architect: Map the steps. 🗣️ Dialog: Start iterating with AI. 🧭 Explore: Generate options and depth. 🤏 Nudge: Adjust to finalize the outcome. 📸 Capture: Preserve the framework. 💾 Embed: Turn it into a reusable asset. I believe in CADENCE because it reminds us that the real job is not just generating output. It is thinking before we prompt (Contract, Architect) and making sure the end-result is useful, shared, and durable (Capture, Embed). ✨ In the age of AI, stewardship is the emerging norm, and ownership matters more than ever. 👇 Enjoy the newsletter and Jeremy's post below, along with the link to the course section about CADENCE in the comments. #AI #Leadership #Innovation #FutureOfWork