Field Notes

AI, age, and
what comes next.

My thoughts on the age of AI and what it means for older entrepreneurs and society more broadly.

  • · Stuart

    The Great Leveling: Why a New Wave of Startups Will Be Built by "Old Fogies"

    The data shows the most successful founders launch their best ventures in their mid-forties, not their mid-twenties. As no-code and AI tools crumble the technical barrier, experienced professionals are finally positioned to translate decades of domain expertise into fundable, scalable companies.

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  • September 15, 2026 · Stuart

    Your Transition Is Not a Crisis. It's Rejuvenation.

    A career transition doesn't just bring stress — it resets the psychological conditions that make new habits, old friendships, and reinvention easier than they've been in years. Habit science, dormant-tie research, and a few famous second acts back it up.

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  • September 6, 2026 · Stuart

    It's Cheaper to Build the Thing Than Have a Meeting on the Thing

    Peter Diamandis and Salim Ismail argue that AI makes coordination nearly free. That plays to the advantage of experienced founders who bring judgment and a trusted network — not against them.

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  • September 5, 2026 · Stuart

    Your Best Invention Might Still Be Ahead of You

    Penicillin, the lithium-ion battery, the safety razor, Coca-Cola, and bifocals were all invented by people in their late 40s or older. The data on inventor age backs this up: it takes longer to reach the frontier of knowledge, which favors experience over youth.

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  • September 5, 2026 · Stuart

    The Math That Used to Take Care of Old Age Just Broke

    For the first time in recorded history, people over 65 outnumber children under 5 worldwide — and the support ratio every prior generation counted on is gone. Self-reliance built through entrepreneurship is one of the few plans that doesn't depend on someone else fixing it first.

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  • August 28, 2026 · Stuart

    Lost Jobs... New Opportunities

    Jevons paradox explains why cheaper, more efficient technology has historically created more jobs, not fewer. AI-driven job displacement may be less of an ending and more of an opening for experienced professionals who can spot where the new bottlenecks are.

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