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Lenny's Podcast: Product | Career | Growth
Lenny's Podcast: Product | Career | Growth

Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google, and Amazon

Jan 11, 2026 · 1h 26m
AI Summary
  • AI products differ fundamentally from software because they're probabilistic, not deterministic—requiring iterative flywheel approaches that continuously improve with real usage data
  • Customer trust and reliability are underrated but critical success factors; companies obsessing over these factors build stronger products than those focusing solely on accuracy metrics
  • Evals aren't a cure-all; successful AI builders focus on patterns like bias detection, failure modes, and edge cases while avoiding common misconceptions about evaluation rigor

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