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.

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.

Most folks’ biggest mistake in collaborating with AI is expecting to get things perfect right out of the gate. But learning to use AI is just like any other motor skill: you’ve got to fall in order to create new neural pathways. Here, I share some insights on falling forward, productively.

Rather than waiting around for lightning to strike, take a more proactive approach. You can provoke your own imagination. One of the most effective, powerful, and fun tools we have created for such self-provocation missions is what we call “Analogous Exploration.”

It’s been 21 months since my book Ideaflow was published, and unexpectedly — catalyzed by the launch of ChatGPT just one month later — the period that many authors described as a victory-lap book tour was transformed into a front-row education in a thrilling new world, reshaping not just how I work, but how I think.

Special guest post from Wharton professor and “accidental AI expert” Ethan Mollick. He joined the podcast a couple months back, and then he blew our minds with this exceptional post on how companies can do much more with AI than merely improve efficiency.

If you are to succeed in your quest to realize the gains promised by GenAI enthusiasts, you must regard every quick and easy prompt pack with skepticism. “The Ultimate Prompt Guide” promises to bestow a wizard-summoning ability with a blue-pill-like ease. No, you will not know Kung Fu after downloading that prompt pack.

For all the hype about Natural Language Processing (NLP), it’s easy to forget that typing isn't all that natural. For many, it’s a bottleneck to our thought process. In the age of AI, we can bypass our fingers and thumbs entirely in favor of actual “natural language”: the spoken word.

Many organizations are asking their people the wrong question: “What can GenAI do for our business?” This is the wrong question because most employees don’t even know what GenAI can do, period! Here’s a cheat code to help your people understand its potential.

I’ve noticed a troubling trend among organizational leaders: they’re hyping GenAI to subordinates, clients, and customers alike, but they’re woefully inexperienced themselves. Time to start practicing what we preach.

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.

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.

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.

As holiday season comes upon us, it’s worth considering the outsized impact that simple gestures like expressing appreciation for others can have on our collective creative potential. One of the highest-ROI activities you can pursue is spurring someone else on in their craft.

Inside every single human being lies the potential to discover hence-unknown possibilities, to have an epiphany. My mission in life is to teach others the tools that turn that seemingly-magical moment into a methodical, repeatable reality.

What’s routine to accomplished “creatives” like Steve Jobs and Lecrae isn’t even on the radar for many innovators-in-training. Learning to get inspired is one of the fundamental instincts we have to develop.