~/talk

Navigating AI Monetization

linkedin:dmsmith
slides:none on file

Argues that AI forces a rethink of SaaS pricing and offers a practical two‑axis framework — attribution vs autonomy — to choose between user+usage hybrid, subscriptionized credits, or outcome models. Cites GitHub Copilot shifting to per‑user with usage allowances, Adobe bundling credits, Lovable and Rocks using credits for actions and deliverables, Intercom charging $0.99 per resolved conversation, and Bland charging per minute. Notes the surprising frequency of pricing iterations and highlights real operational work: metering, billing, sales playbooks and forecasting changes.

AI-written summary · about

  1. 0:00Introduction and background
  2. 1:33New AI monetization era
  3. 6:24Market trends in pricing
  4. 9:15User-based pricing models
  5. 13:30Usage-based pricing models
  6. 18:34Outcome-based pricing models
  7. 20:45Choosing the right model
  8. 23:58Operational challenges
  9. 26:05Key takeaways and conclusion
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