The About page of tokeneconomics.com presents the Tokenomics Foundation, a Linux Foundation project announced on June 3, 2026 and operated « in close partnership with the FinOps Foundation ». Its mission: « establish open industry standards, benchmarks, and best practices for the economics of AI infrastructure », linking the production, consumption, and monetization of tokens to business value. The foundation sets out a broader definition: « Tokenomics is not just about the cost of tokens, it's about the entire layer of AI that they drive from production, to consumption to monetization » — that is, the entire economic layer of AI, from infrastructure cost through model selection to value optimization.

The framing narrative distinguishes two phases: early adoption prioritized capability; the current phase is shifting toward efficiency and value, which requires systematic cost management and visibility. Five principles structure this discipline. (1) Efficiency: « AI cost is shaped by architecture, not just usage » — efficiency is a design choice. (2) Right tool: « bigger is not always better », the best system is not the one using the most expensive model (routing logic). (3) Visibility: « visibility comes before optimisation. Teams cannot manage what they cannot see. » (4) Value: « value matters more than volume » — more tokens, calls, and automation do not mean better outcomes. (5) Open knowledge: shared standards, community learning, and transparency mature the whole ecosystem.

Tokenomics is not just about the cost of tokens, it's about the entire layer of AI that they drive from production, to consumption to monetization

— **Tokenomics Foundation** , tokeneconomics.com

Governance is organized around a Governing Board (industry direction, fund allocation) and a Technical Committee (open specifications and benchmarks). On the deliverables side: extension of the FinOps Foundation's FOCUS specification, open specs, benchmarks, frameworks and shared metrics, « extending the discipline of variable technology spend into the era of token-based AI ». The target audience is broad: CAIO, CTO, CIO, CFO, engineers, product teams, FinOps practitioners, researchers, startups, enterprises and the public sector.

The ultimate goal: helping organizations move « from experimental AI adoption to sustainable AI operations » through a shared language, frameworks, and guides for managing AI at scale. Beyond the content itself, the event marks the institutionalization of agentic FinOps: the token → outcome / allocation doctrine becomes an open standard carried by two reference foundations — to be tracked through its concrete FOCUS deliverables.