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Jeremy studies the history of invention, discovery, and innovation, and then shares his insights daily.
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Warning: many time-tested, empirically-proven tactics to fuel creative output may challenge your definitions of “productivity” and “efficiency.” Please try a few tasty samples below to make sure you’re ready for counter-intuitive research that will turbocharge your practice.
Last week, I proposed a simple but fundamental shift: we need to stop thinking about AI as a technology rollout and start treating it like a new teammate. What I didn't fully explain is that this isn't just a semantic distinction. It produces measurably better results.
I’ve been seriously thinking about AI for over two years now, and I’m finally hitting my stride when it comes to my point of view. The fundamental shift I believe everyone must make is from thinking of AI as a technology, to thinking of AI as a teammate.
Still waiting on other people before you tap AI? Big mistake. This post exposes the silent tax of “AI inaction,” hands you the five‑rung ladder for turning any model into your on‑call mentor, and launches a seven‑day sprint that will hard‑wire the habit—so you can seize the advantage while everyone else is still scheduling meetings.
Last week, Shopify CEO Tobi Lütke released an internal memo that's been making waves. My take: this isn't just another tech CEO jumping on the AI bandwagon. It's the clearest articulation I've seen of a principle I've been exploring the past 18 months: the greatest risk with AI isn't failure—it's inaction.
I'm best known for my work on innovation, creativity, and entrepreneurship. My “shift” toward AI might seem like a radical departure. But it's not a shift—it's an evolution. Having taught and spoken to tens of thousands from ~100 countries in the last two years, I’m more convinced than ever that AI isn't separate from innovation; it's the most profound innovation platform of our lifetime.
AI isn't coming for your job. But someone using AI almost certainly is. So why not take your own job before someone else does? It’s time to prioritize and systematize disrupting ourselves.
When organizations think about AI transformation, they immediately focus on technical roles: data scientists, developers, prompt engineers. But what if the most important AI role in your organization requires zero technical expertise?
Enjoy this guest post from Eric Porres, Head of Global AI at Logitech. It’s a fantastic personal story of how one business leader got a much-needed turbo boost by augmenting his own intelligence with AI.
Behold the great AI measurement delusion: Organizations tracking usage metrics are missing the only thing that matters—impact.
More use isn't better use. Better use is better use.
A recent study by American Management Association revealed that 58% of professionals feel "behind" in their AI adoption journey. While most folks know me as "the Beyond the Prompt guy," here's what you might not know: I struggle with this stuff too.