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.

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