Linux Foundation Forms Tokenomics Foundation for AI Cost and Value Standards
SAN FRANCISCO, Aug. 5, 2026 — The Linux Foundation, the nonprofit organization enabling mass innovation through open source, has launched the Tokenomics Foundation to focus on establishing open industry standards, benchmarks and best practices for the economics of AI. At the time of launch the founding member organizations include Accenture, BNY, Broadcom, Calero, Cast.ai, DoiT, Finout, Flexera, GoDaddy, Greenpixie, Hitachi, IBM, JPMorganChase, Kion, Lenovo, Nebius, North Cloud, Oracle, Pay-i, Pointfive, Revenium, SAP, ServiceNow, SHI, Stacklet, Vantage, WWT, XOsphere and Yarken.
The Tokenomics Foundation’s creation coincides with accelerating enterprise urgency around AI spend, with token consumption forecast to increase 24-fold by 2030, Goldman Sachs predicts. Organizations face a widening gap between what they spend on AI and their ability to measure, manage and monetize their AI investments.
The Tokenomics Foundation aims to help organizations better meet the challenge of AI value, right at the moment that the global 2000 are evaluating the ROI they are receiving from AI investments amidst historic investment into infrastructure and AI services.
AI Token Economics, or AI Tokenomics, is the emerging practice of managing the production, consumption and value of AI to generate business outcomes. It gives practitioners a map for answering two challenging questions: what does AI actually cost, and what is the value of intelligence?
Tokenomics looks at the entire supply chain of how energy and capital are used to create tokens and AI services at the hardware layer, the consumption of AI services (and adjacent AI costs) to drive intelligence and the outcomes and impacts to business models that the AI drives.
Tokenomics, as the industry is defining it, acknowledges that much of the cost of AI is not in the tokens themselves. There are a wide range of adjacent costs from compute to storage to database to cache and even, human labor in the form of engineers. But tokens are a consistent atomic unit of usage driving various costs. Tokens cover the entire spread of AI costs.
The inaugural Governing Board convened on July 30, and soon after will be the formation and meeting of the Technical Steering Committee, which aligns on key challenge areas for working groups to build best practice materials. The Tokenomics Foundation roadmap includes initial pieces like:
- Definitions: Publish what tokenomics is, and define token value/density, including input, output, reasoning, and cache.
- A reference model for the full cost of AI: Not just tokens. Shared terms and the complete component picture, so the token line is understood as one part of the bill rather than the whole of it.
- Cost to serve: A standard method for measuring the whole bill of materials, expressed as cost per call rather than cost per token, so the number maps to work actually performed.
- Value measurement: A framework for relating AI spend to outcomes, starting with the share of work completed without human involvement, measured against what the process costs today.
- Education and certification: A foundational course and credential, so practitioners and the teams around them can apply all of the above.
- Projects like the Big-T Framework: Provides a methodology for classifying the token and related AI cost complexity of workloads ahead of model routing activities between the most cost effective frontier or open source models.
- Token Cost Telemetry: Improved AI cost reporting schemas in FOCUS v1.5 and beyond (FinOps Open Cost and Usage Specification) to better understand AI TCO
- AI Value Frameworks: The Foundation is laying out a roadmap for showing ROI from the TCO (Total Cost of Ownership) of AI, as well as how Tokenomics impacts business models, COGS and labor planning.
“Open source proved that shared foundations beat closed ones, and open weight models are now extending that lesson to AI itself,” said Jim Zemlin, Executive Director of the Linux Foundation. “But an open AI ecosystem needs more than open models; it needs open economics. Tokens have become the commercial expression of the entire AI economy, yet there is no shared way to connect AI spending to value. The Tokenomics Foundation gives the consumers and suppliers of AI a common, vendor neutral place to build those standards in the open, the same way this community has done for software and for cloud economics.”
How the Foundation Will Work
The Tokenomics Foundation will operate a dedicated Governing Board, Technical Steering Committee, and IP-managed member working groups to develop vendor-neutral specifications, benchmarks and best practices.
The Tokenomics Foundation operates as part of the technology value umbrella within the Linux Foundation, which serves a global community of more than 120,000. The technology value Foundations share community events such as Tokenomicon + FinOps X, San Diego June 7-10 2027, and operational resources while maintaining separate governance. They will also support FOCUS, the open billing data specification that provides the substrate for normalizing cost and usage data across providers.
More from AIwire: Linux Foundation Announces Tokenomics Foundation to Standardize AI Infrastructure Economics
About the Tokenomics Foundation
The Tokenomics Foundation is a vendor-neutral foundation hosted by the Linux Foundation, focused on establishing open industry standards, benchmarks, and best practices for the economics of AI. Operating in close partnership with the FinOps Foundation, it brings together large token consumers with the AI supply chain to build the primitives of tokenomics across token production, consumption, and monetization. The Foundation develops shared language, frameworks, benchmarks, and community-led guidance that help organizations move from experimental AI adoption to sustainable AI operations. Learn more at tokeneconomics.com.
Source: The Linux Foundation
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