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What if your best performance isn’t behind you? That one assumption quietly shapes careers, confidence, and how we think about aging. I sit down with Ted Yang, an MIT engineer, entrepreneur, former Bridgewater and Citadel finance executive, and the author of Ageless Peak Performance, to explore a more useful idea: cognitive speed may slow over time, but judgment and strategic pattern recognition can increase, and AI can help close the gap.

We get practical about what AI-powered excellence actually looks like at work. Ted shares a simple rule that changes everything: treat AI like an intern, not an oracle. We talk about the risks of using generative AI as a pure answer machine, why that can weaken thinking, and how to use large language models like ChatGPT, Claude, and Gemini to sharpen your decisions instead. You’ll hear tactics like using AI as a devil’s advocate, working iteratively, and starting with low-stakes tasks so you build confidence while keeping quality high.

Then we zoom out to the real leverage point: workflow. It’s not just about doing tasks faster; it’s about questioning why the tasks exist at all. From note-taking to status meetings, we unpack how AI can automate the “paper processing” layer and free you to do the work only you can do: setting direction, making judgment calls, and leading people. We also connect AI to flow state and goal clarity, so you don’t optimise speed while losing meaning.

If you want a grounded conversation about AI productivity, human performance, and longevity at work, press play. Subscribe, share this with a friend who feels “behind,” and leave a review with one workflow you’re ready to redesign.

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