Pricing in the AI Era: From Inputs to Outcomes — with Paid CEO Manny Medina preview image

Four Pricing Frameworks

  1. Activity-based: Pay per credit/token — low barrier, high competition risk
  2. Workflow-based: Bundle activities into workflow units — closer to value
  3. Outcome-based: Bonus payments for achieved results — aligns with customer value
  4. Agent-based: Price per AI agent replacing a human role — targets HR budgets, not tool budgets

What's Working Now

Narrow, deep AI agents replacing specific BPO functions: insurance policy renewals, claims review, truck-broker matching, pentesting. "Dig like a hedgehog into a narrow problem and become the best."

Key Insights

  • AI replaces unwanted jobs first (insurance clerks, repetitive call centers), not high-salary creative roles
  • Customers prefer easy purchasing (flat/usage-based) initially, but proven value demands value-aligned pricing
  • Token costs may rise short-term due to reasoning complexity and multimodality
  • Most AI companies don't capture their fair share of value created

"Start with a tiny customer segment. TAM doesn't matter. Deliver an exceptional experience in a small market, and it becomes a big market."

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