The fine folks over at Section recently interviewed me about some common mistakes I’m seeing folks make when they use AI. One of the biggest ones? The tendency to expect too little, and get just that.

Last week, I had the pleasure of delivering keynotes to two remarkable audiences of scholars and entrepreneurs. One thing was clear: folks have legitimate concerns about AI. But my strong belief is that it’s a dangerous mistake to wait to dive In, even amidst legit concerns.

Your first idea is rarely your best. Exploring multiple possibilities, even "dummy" options, is the key to unlocking innovation. Here’s how to maximize your creativity and elevate your problem-solving skills: reject the trap of settling for your initial thoughts.

Puzzled by underwhelming results despite your expertise? Discover the surprising insights from a groundbreaking study that can help you tackle challenges and achieve better outcomes.

One critical reason folks in organizations aren’t imagining radical new applications of GenAI is, their imaginations aren’t stimulated. My recommendation might fly in the face of convention, but it’s been demonstrated highly effective in both this AI-moment and in times past.

For all the existential angst spilled regarding AI on the news, there's one danger I haven't heard get much attention. It's not the threat of sentient machines or the loss of jobs—it's the risk of AI disappointing us, not because of its limitations, but because of our own.

Are you an experienced professional watching the AI revolution from the sidelines? It's time to get in the game! Discover why your hard-won expertise is the secret weapon to unlocking AI's full potential and turbocharging your career.

This insightful guest article conjures the spirit of legendary restauranteur Danny Meyer, who said, “ABCD so you can ABCD: Always be collecting dots to always be connecting dots.” The collection- and connection-instinct is at the heart of a curator. Read on…

Generative AI represents enormous potential for innovation. But even well-intentioned leaders can undermine their own efforts to explore. If they aren’t careful, they can end up reinforcing counter-productive biases amongst the very teams they’re trying to unleash.

All too often, the stated “problem” keeps a team from innovation: the problem is the problem. Being willing to question the premise, rather than accept it blindly, is a critical practice for creative health.

If you’re getting mediocre–or even bad–results from AI tools like ChatGPT, it’s not because the tech is bad. Research suggests that you’re probably settling for mediocrity.

To become a professional in any field takes an enormous amount of skill, and hard work. Routine practice is a hallmark of the “professional” in any context. Here’s how to take a professional mentality into the innovation arena.

Two words most commonly associated with ideas are “good,” and “new.” I’ve often encouraged folks to forget “good.” Here’s the case for forgetting, “new,” too.

From Steve Jobs to Taylor Swift to Seth Godin, there’s remarkable consistency among “the greats”: having bad ideas is a necessary precondition to having good ones.

Financial Times Opinion Piece featuring our AI research:
”Generative tech is improving work — but employees need to be as smart as their new assistants”

To stimulate innovation, ideas and experiments are critical. But how to free up resources necessary to drive new initiatives forward? Start by pruning back some work that’s past its prime. Here’s how.

Ed Catmull reveals the great secret behind Pixar’s success: they try before they’re perfect. “All our movies suck to begin with. Our job is to take them from suck to not suck.”

Want to accelerate your pace of learning? Join a community of practice. We learn much more amongst fellow-learners eager to share insights from experiments conducted in radically different contexts.

Some decisions are so important they’re worth waiting to make. As Tina Fey discovered in one of the most important decisions of her career, delaying a decision is a legitimate creative strategy.

New domains — whether hobbies or entrepreneurial ventures — are fraught with risk and failure. One way to hack the learning curve is to find fellow learners committed to the craft. Find your people, and you accelerate exponentially.