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Applied AI·November 3, 2026·1 min read

Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens

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A single power user burning ~$200K/year on tokens is a preview of what heavy agentic workflows can cost at scale — usage‑based AI isn’t a rounding error. Finance and eng leads should start treating token spend like cloud bills: with budgets, alerts, and ROI tracking, not as an experiment line item.

Applied AI

Democratic gubernatorial wins in Texas, Georgia, Ohio and Pennsylvania could expose 50% of proposed US AI data center additions to greater scrutiny and pushback

With new Democratic governors in Texas, Georgia, Ohio, and Pennsylvania, roughly half of proposed US AI data center capacity just moved into higher-friction permitting and community scrutiny. Data center developers and large AI buyers need a red/blue regulatory map in their site-selection models—not just power price and land cost.

Applied AI

Pharmaceutical leaders are skeptical of claims that AI could cure most diseases within a decade; the US FDA has yet to clear any AI-designed biotech drugs

Drug discovery AI is running into the wall of biology and regulation — no AI-designed drug has FDA clearance yet, and pharma CEOs are openly discounting decade-to-cure narratives. If you're building in AI x biotech, optimize for tools that de-risk experiments and trials, not full-stack drug pipelines that depend on regulators moving faster than they historically ever have.