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 to 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.

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, shared frameworks and metrics, "extending the discipline of variable technology spend into the era of token-based AI." The intended audience is broad: CAIO, CTO, CIO, CFO, engineers, product teams, FinOps practitioners, researchers, startups, enterprises, and the public sector.

The end 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 announcement marks the institutionalization of agentic FinOps: the token → outcome / allocation doctrine becomes an open standard backed by two reference foundations — to be tracked through its concrete FOCUS deliverables.