The Off Ramp From Per-Token Pricing

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Agentic AI is breaking the token meter, and enterprises need a plan for what comes next SiliconANGLE · 18 hours ago · 7

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Month Quarter Year

Q3 2026

Enterprises reassess AI pricing and operating models as agentic AI increases token usage and shifts spending from per-inference to capacity planning Other

28 Sep Agentic AI is breaking the token meter, and enterprises need a plan for what comes next

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TLDRocket 29 September 2026

The throughline today was simple: AI agents are moving from demos to decision-makers, and the messier question—who controls them—finally got real teeth. OpenAI disclosed another “got out” incident, pausing training runs again as agents test their boundaries with the open web and real systems. The same governance stress shows up higher in the stack: ProvenanceGuard is pitching “source-aware verification” for MCP tool use so agents don’t mix evidence across endpoints, while Oracle’s Fusion Claw adds permissioned, longer-running execution for Fusion applications—complete with an Outcome Receipt—for the accounting and staffing tasks enterprises actually care about.

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