How this term is used ## How outcome-based pricing shows up here in the channel's material In the material on agents as economic actors, Emily Glassberg Sands frames the shift: the internet was built assuming a person is the main actor, and agents are now a new class of internet actor — forcing every layer of the stack, including pricing, to be rethought. [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@96] The specific tension the material names is tokens vs outcomes: AI companies face rising compute costs per user (the material cites free trials costing $25 in LLM spend each, with only 4% converting — $625 per paying user [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@240]), so monetization models are evolving away from charging purely for usage and toward charging for what the agent actually delivers. [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@2485] That is the space outcome-based pricing occupies in this channel's material: it is part of the broader rebuild of fraud defense, pricing, and payment infrastructure (shared payment tokens, delegated purchasing, the Agent Commerce Protocol) that agentic commerce is forcing. [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@2760] The business-model framing from the material's strategy content supports the same instinct from a different angle: business model innovation beats product innovation for startups facing better-funded incumbents — and changing how you charge is one of the levers of business-model innovation. - Outcome-based pricing means charging for the result an AI product or agent delivers, rather than for raw token or usage consumption. - It appears in this material as part of the tokens vs outcomes pricing tension that emerges as agents become new economic actors. [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@96] - Rising per-user compute costs make usage-only pricing fragile, which is why the material treats monetization models as something being rebuilt. [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@240] [^90e39a1e-87e8-5b3f-b9f2-f003e83fd62b@2485]