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.

NYU Chief AI Architect Conor Grennan makes a strong case for why GenAI shouldn't be an IT capability, but rather, championed by HR. He argues that the folks responsible for human behavior change need to be leading the charge.

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.

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.

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.

Kevin Kelly is the co-founder of WIRED magazine. Long-hailed for his counter-intuitive business wisdom, he did NOT disappoint on a recent episode of Beyond the Prompt. Here, he shares an overlooked secret to courting break throughs and driving joy.

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.

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.

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.