Greg Isenberg outlines thirteen possible business directions as AI makes software and routine knowledge work cheaper. He starts with AI-native services in which agents handle repeatable tasks and humans manage exceptions, then contrasts them with offline experiences and communities that depend on real-world relationships.
Greg Isenberg describes distribution, proprietary datasets and domain-specific agent harnesses as potential sources of differentiation. Examples include industry workflows with explicit tools and approval steps, specialist marketplaces and products for established communities. He stresses that marketplaces still need liquidity and useful data rather than merely an AI interface.
Greg Isenberg also discusses robotics operations, physical products, compute and energy, healthcare services, industrial real estate and agent security. These are entrepreneurial hypotheses rather than proven investment outcomes; his security example emphasizes limited permissions around sensitive recurring business tasks.
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