Last week a CEO asked me the same question I hear from every executive: 'How do I get my team to use AI?'

My answer shocked him.

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.

Deeply practical guest post by former NCAA and NFL punter, now tech executive, Zoltán Meskó. I met Zoltán at Stanford’s annual Campbell Trophy Summit last summer, and he stayed in touch, telling me all the cool stuff he was trying - check out how AI is changing the way he works.

"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.

There’s only one right answer to the question, “Did AI help with this?” The shift to an AI-first mindset isn't just about saving time. It's about recognizing a fundamental truth: AI isn't a tool you might want to use. It's an amplifier you'd be reckless not to use.

Learning to work with AI isn’t really a technical challenge. It’s a human behavior change effort. AI skill building is about far more than learning new tools. It’s about unlearning old ways of working.

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.

Growth mindset expert Diane Flynn shares insights and advice for a more experienced generation of workers who might feel somewhat hesitant to embrace the collaborative superpowers of GenAI.

Right now, in boardrooms and Slack channels across the globe, leaders are inadvertently creating a culture of AI shame. They're reinforcing the very hesitation they should be helping their teams overcome. It's time for an intervention.

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.