Announcement

Yarken joins the Tokenomics Foundation as a founding member

Yarken is joining the Linux Foundation’s Tokenomics Foundation as a founding member, contributing its TBM, FinOps and technology finance experience to the development of open standards for AI economics.

AI has created a new category of technology spend faster than most enterprise financial systems have been able to adapt to it.

Tokens, model APIs, compute, software, data, labor and specialist vendors can all contribute to the cost of the same AI initiative. Yet they are often bought by different teams, recorded in different systems and measured in different ways.

As AI moves further into production, that fragmentation becomes a financial management problem.

The Linux Foundation launched the Tokenomics Foundation to address it.

The Foundation brings together organisations from across enterprise technology, financial management, cloud and AI to develop open, vendor-neutral standards for measuring the economics and return of AI investment. Yarken joins founding members including Accenture, IBM, JPMorganChase, Oracle, SAP, ServiceNow, Flexera and others.

Building a common language for AI economics

Token consumption is becoming an important measure of AI usage, but enterprise AI economics cannot stop at counting tokens.

Finance and technology leaders eventually have to connect that consumption to something the business understands.

• What did the initiative cost?
• Which product, service or team consumed it?
• What is driving the change?
• What value is the investment producing?

Today, those answers are difficult to compare across providers, models and architectures. The Tokenomics Foundation is intended to create a common foundation for that work.

Its roadmap includes shared definitions for tokenomics and AI value, vendor-neutral models for understanding the full cost of AI, methods for measuring cost to serve, frameworks for evaluating business impact, and token cost telemetry within the FOCUS specification.

The goal is practical: give enterprises a consistent way to understand AI cost and value even as the underlying technology continues to change.

Where Yarken contributes

Yarken works at the point where technology consumption meets financial management.

Our platform brings TBM and FinOps together so technology and finance teams can work from the same governed financial model across cloud, SaaS, infrastructure, AI, planning and other technology costs.

That perspective matters for AI.

Token telemetry can show how much a model is being used. Enterprise financial management has to take the next step and connect that usage to ownership, budgets, services, products and business outcomes.

As Ravi Kuppan, Founder and CEO of Yarken, said:

“Connecting token consumption with business value is essential.”

That connection is where FinOps and TBM become increasingly important to the AI conversation. FinOps brings the operational discipline required for variable consumption. TBM provides the structures needed to connect technology cost to services, consumers and business value.

Together, they provide a stronger basis for managing AI as part of the enterprise technology portfolio rather than as a separate experimental budget.

The market is already asking for this

The announcement has also drawn attention across technology and finance media.

IT Brief described the issue as a growing gap between technical AI adoption and financial oversight, particularly as enterprises struggle to attribute AI consumption to business units, products and outcomes.

Open Source For You focused on the significance of applying open standards to AI cost accounting, noting Yarken’s contribution across FinOps and Technology Business Management.

The story has also appeared across the TechDay publishing network, including CFOtech, ChannelLife and CMOtech, reflecting how quickly AI cost management is moving from a specialist FinOps concern into a broader enterprise finance and technology conversation.

That attention reflects the underlying shift.

AI adoption is no longer difficult to see. The harder question is how enterprises account for it once usage spreads across teams, models, vendors and business processes.

From AI consumption to accountable investment

The economics of AI are still being defined.

Standards created now will influence how enterprises compare providers, allocate AI costs, evaluate unit economics, plan investment and determine which initiatives deserve to scale.

That is why Yarken is participating.

Our role in the Tokenomics Foundation is an opportunity to contribute what technology finance already knows about allocation, accountability, planning and value, while helping adapt those disciplines to a new form of technology consumption.