As AI adoption shifts from experimentation to core infrastructure, enterprises are struggling to quantify the true cost of intelligence. With token consumption projected to rise 24-fold by 2030, the industry currently lacks a unified language to track the total cost of ownership, which extends far beyond the cost of a single token to include compute, storage, data, and human labor.
The Tokenomics Foundation aims to replace fragmented vendor pricing with standardized benchmarks. Its roadmap includes the development of AI Value Frameworks, cost-to-serve metrics, and standardized telemetry within the FOCUS specification. By establishing these ground rules, the foundation intends to help organizations move toward a model where AI spend is tied directly to measurable business outcomes, such as work completed without human intervention.
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