Most teams think they need more AI training. What they actually need is a loop: a reason to share, experiment, and learn in public. Here’s how to build that culture—one commitment at a time.

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.

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.

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.

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.

Still waiting on other people before you tap AI? Big mistake. This post exposes the silent tax of “AI inaction,” hands you the five‑rung ladder for turning any model into your on‑call mentor, and launches a seven‑day sprint that will hard‑wire the habit—so you can seize the advantage while everyone else is still scheduling meetings.

Last week, Shopify CEO Tobi Lütke released an internal memo that's been making waves. My take: this isn't just another tech CEO jumping on the AI bandwagon. It's the clearest articulation I've seen of a principle I've been exploring the past 18 months: the greatest risk with AI isn't failure—it's inaction.

I'm best known for my work on innovation, creativity, and entrepreneurship. My “shift” toward AI might seem like a radical departure. But it's not a shift—it's an evolution. Having taught and spoken to tens of thousands from ~100 countries in the last two years, I’m more convinced than ever that AI isn't separate from innovation; it's the most profound innovation platform of our lifetime.

Behold the great AI measurement delusion: Organizations tracking usage metrics are missing the only thing that matters—impact.

More use isn't better use. Better use is better use.

The first question an innovator must answer is not “can I make it?” but rather, “should I?” This has become something of a mantra among CEOs I work with, as a needful protection against the gravitational pull of the organizational bureaucracy.

One of the defining contributions the d.school is helping teams ask themselves, “What kind of thinking is appropriate, when?” We call such clarity being “Mindful of Process.” And it can seem like semantics until you realize we need to show up in different ways.

You’re probably getting fat on AI content: bingeing podcasts, hoarding newsletter tips, saving Twitter threads... While it feels productive, all that consumption is just giving you a knowledge sugar high. And like any sugar high, it’ll crash—leaving you with exactly zero new capabilities.

The most inventive folks I’ve studied are disciplined about seeking inspiration. If you don’t make time to get out of the box, you will not be able to think out of the box, either. It’s not that complicated, but it requires you obliterate clean compartmentalization in favor of messy meandering.

In this special guest post, Mo Bunnell, Author of Give to Get, makes a compelling case for a counterintuitive strategy: giving gifts of your expertise as a way to build relationship and give clients a taste for your unique value proposition.

Sprints are a fantastic tool to drive innovation with efficiency. But sometimes you’ve got to be inefficient in order to create effectively. A few reflections on a troubling trend I'm seeing emerge among would-be innovation practitioners.