Eight ways to build a business AI can't easily copy, according to investor Greg Isenberg
Greg Isenberg · · 25-second read
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November 4, 2026 · AI Culture
Greg Isenberg, an investor and entrepreneur, outlines eight categories of business defensibility in an AI-saturated market where software and content are becoming cheap to produce. The framework spans physical businesses (atoms), regulatory licenses and partnerships (permission), audience and content reach (attention), trend spotting (timing), communities and events (belonging), marketplaces (liquidity), proprietary datasets (unique data), and pay-for-results models (outcomes). Isenberg argues that physical businesses and regulated industries hold up against quick clones better than pure software plays. He also emphasizes that first-mover advantages in data collection, brand trust, and audience loyalty create lasting competitive edges that AI commoditization alone cannot erode.
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