If the MIT study of AI failure rates surprised you, you need to update your priors. Innovation is about shots on goal, not perfect plans. Time to recalibrate how many attempts you’re making.

Most leaders think credibility comes from having all the answers. In the AI era, it's the opposite—credibility comes from admitting you don't know and doing something about it. Here's how to become the kind of leader who can actually drive organizational change instead of just demanding it.

AI can do almost anything you ask—faster and better than you imagined. But it will never do the one thing that makes you irreplaceable. Here, I share how a piece of career-saving advice from my dad, a billion-dollar insight from Sam Altman, and lessons from leaders like Meta’s Josh To reveal the skill that keeps you indispensable in an “agentic” era.

Cleverly deploying AI is not merely speeding up innovation—it's unlocking a fundamentally different relationship with the creative process. Here’s how to shift from operation, to orchestration.

You know that moment when someone tells a story so perfectly out-of-step with the times that you laugh—then realize you're guilty of your own version? That's exactly what happened when Brice Challamel, Head of AI at Moderna, shared the origin of their company AI transformation mantra, "Don't be Fred".

Most organizations don’t fail at AI because of the tech. They fail because leaders reward critique over curiosity. Here’s how to flip the script before your next breakthrough dies in the room.

Much ink has been spilled about the plight of college graduates. Because of all the hand-wringing about entry-level positions disappearing and AI automation stealing opportunities, no one is saying the quiet part out loud:

No one wanted a "job" to begin with. In that sense, there's never been a better time to enter the job market.

Most companies get AI adoption wrong because they're trapped in "value capture" mode. Efficiency plays might deliver measurable ROI, but they’re essentially defensive moves, and defense alone doesn't put enough points on the board to win. The real competitive advantage comes from "value creation."

Last week, I ran an innovation workshop for the thousandth time. But this time felt different. Every time I noticed that familiar moment where teams hit cognitive quicksand—where I'd normally say "this is the hard part, push through it"—something clicked. This is exactly when AI should step in.

Everyone’s panicking about “AI glazing.” But what if it’s a feature, not a bug? The creative industry's most successful practitioners understand something the rest of us are missing.

I’ve been working on a radical new course at Stanford, which I’m excited to share more details on soon. In the meantime, sharing an early iteration of my thinking on the topic, in the form of my WSJ piece co-authored with the brilliant Kian Gohar.

This post marks my 200th edition of Methods of the Masters—and serves as a fitting bridge between my early focus on human creativity and more recent AI work. In an age of infinite AI inputs, our biology demands we cultivate equally intentional human disconnection strategies.

Special guest post by Brendan Boyle, one of Stanford’s most beloved professors, acclaimed toy inventor, and founder of IDEO’s Toy Lab. He’s taught me more about play than anyone other than my own children.

In five years, no one will care how many people logged into ChatGPT. They'll care about who used it to transform their work. The organizations that understand the difference between more use and better use are quietly outperforming their competitors-while everyone else celebrates meaningless "adoption" metrics.

I thought I was running a standard innovation workshop with one of my favorite clients. Instead, I came to face to face with my own biases, and accidentally broke an entire organization's understanding of what's possible.

My new favorite diagnostic: if you cannot find ways to generate more than $200 of value from frontier AI over the course of an entire month, you're failing a basic creativity test.

This isn't about AI's limitations—it's about yours.

“Think:Act Magazine” was curious about how I incorporate AI into my own creative process as a writer, so they visited my home studio to observe my workflow. What followed was a fascinating exploration of how I use multiple LLMs as collaborative partners rather than just tools. Fun to be featured alongside heroes of innovation like Astro Teller, Amy Edmondson, and the legendary design duo Charles and Ray Eames!

A recent study by American Management Association revealed that 58% of professionals feel "behind" in their AI adoption journey. While most folks know me as "the Beyond the Prompt guy," here's what you might not know: I struggle with this stuff too.

Last week, I proposed a simple but fundamental shift: we need to stop thinking about AI as a technology rollout and start treating it like a new teammate. What I didn't fully explain is that this isn't just a semantic distinction. It produces measurably better results.

I’ve been seriously thinking about AI for over two years now, and I’m finally hitting my stride when it comes to my point of view. The fundamental shift I believe everyone must make is from thinking of AI as a technology, to thinking of AI as a teammate.