Finance 101 says diversification — holding a broad range of investments from safe bonds to growth equities — is the best way to reduce your risk and maximize return. So why is your AI strategy all municipal bonds?

A senior executive called to tell me my talk was "one of three ingredients in the best idea I've ever had." That almost never happens. Here's why it should.

Standing in my hallway surrounded by broken glass, I asked AI for 10 terrible ways to respond. What came back changed how I think about parenting—and about AI.

Your organization spent years building innovation capability. Now AI arrives, and folks ask: 'Should we keep investing in creativity, or redirect that budget to AI tools?' The answer will determine whether you dominate the next decade—or get left behind.

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 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.

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.

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.

“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!

AI isn't coming for your job. But someone using AI almost certainly is. So why not take your own job before someone else does? It’s time to prioritize and systematize disrupting ourselves.

In the AI age, love is more important than ever. Because now anyone can generate “good enough” solutions with a few prompts. But people want more than good enough. When average is free, only above-average passion will stand out.

"I don't really have any pain points to automate," a CEO told me during an AI workshop last week. "I don't do repetitive work like other people in the company do."

Then he mentioned how he spends six hours manually editing every report his team sends him… I had to stop him right there.

AI is transforming industries. Designers are compressing month-long workflows into minutes. Scientists are using AI to condense years of research into days. But what about decades into minutes? Meet Adam. He doesn’t have a LinkedIn account. But in 45 minutes, he built an AI tool that'll save his organization thousands of days of work every year.

While the winding road to innovation often only makes sense in retrospect, that doesn’t mean you can’t bend the odds. One of my favorite prospective strategies an organization can employ is the classic science fair... but you must approach it correctly.

Undisputed "Beyond the Prompt" fan favorite Jenny Nicholson drops by to share some insights from her adventures helping folks innovate with AI. Important lessons for any leader looking to unleash their teams with this transformative technology.

In the past year, I've witnessed a fascinating phenomenon across organizations embracing GenAI. Two "identical twins" in the AI race, similar in their approach to AI adoption -- engaged senior leadership, extensive training, numerous opportunities for AI integration -- whose outcomes couldn't be more different.

A funny thing happens when humans interact with AI—they start talking like robots. This is tragic. It's the very humanity that we often unwittingly withhold that guarantees lackluster output. To revolutionize your output with GenAI, revisit your own humanity.