Yarken joins Linux Foundation push on AI token costs

Yarken has become a founding member of the Linux Foundation's Tokenomics Foundation, a group of 30 companies working to develop standards for measuring AI costs and value.

The move places the Auckland- and New York-based company alongside organisations including IBM, Oracle, SAP, Accenture and JPMorgan Chase in an effort focused on AI token spending, a fast-growing cost linked to the use of large language models and related systems.

Token usage has become a budgeting issue for companies adopting AI tools across customer service, software development, internal search and data analysis. As organisations experiment with more models and services, the underlying token charges can be difficult to track across departments, cloud platforms and vendors.

This has created a gap between technical adoption and financial oversight. While finance and technology teams have built disciplines around cloud spending through FinOps, many companies still lack common methods for attributing AI consumption to business units, products or specific outcomes.

Standards push

The Tokenomics Foundation was set up to create open frameworks and best practices for assessing both the cost of AI use and the value companies receive from it. The aim is to give organisations a common basis for comparing spending, governing investment and judging returns across a fragmented supplier market.

Vendor-neutral standards have become increasingly important as AI providers release new models and pricing structures at speed. Charges can vary based on prompts, inference workloads, retrieval processes and other model interactions, leaving procurement and finance teams with limited visibility unless tools and reporting are aligned.

Yarken's role in the foundation reflects its focus on linking IT Financial Operations with Technology Business Management. The combination is intended to help enterprises treat AI use as a measurable operating cost rather than an experimental line item outside normal reporting structures.

The Linux Foundation is a long-established steward of open source projects across operating systems, cloud, networking, hardware and AI. Its involvement gives the initiative an independent home as companies from technology, finance and enterprise software work to define common reporting approaches for AI economics.

The membership list includes Accenture, BNY, Broadcom, Calero, Cast.ai, DoiT, Finout, Flexera, GoDaddy, Greenpixie, Hitachi, IBM, JPMorgan Chase, Kion, Lenovo, Nebius, North Cloud, Oracle, Pay-i, Pointfive, Revenium, SAP, ServiceNow, SHI, Stacklet, Vantage, WWT and XOsphere.

Cost visibility

For large companies, the concern is not simply the size of AI spending but the difficulty of tying that spending to business value. A central issue for finance leaders is whether token consumption can be traced to revenue generation, productivity gains, service improvements or other measurable operational outcomes.

The challenge is familiar in cloud computing, where FinOps emerged to help companies understand and control variable, usage-based costs. AI adds another layer of complexity because consumption can be spread across multiple models, embedded software products and internal tools, often without a single standard for reporting costs at the point of use.

Yarken argues that TBM has a role alongside FinOps because technology spending decisions increasingly need to be connected to business planning and governance. In practice, that means assigning AI costs to business services and establishing a framework for deciding whether rising token use reflects productive investment or waste.

Ravi Kuppan, Founder and Chief Executive Officer of Yarken, commented on the company's involvement in the initiative.

"We are honoured to join 30 of our peers in the vital work of creating a vendor-neutral roadmap for future AI value. AI has redefined how enterprises view their business and operating models. Every day, our fast-growing teams see the risks and rewards this brings," said Ravi Kuppan, Founder and Chief Executive Officer of Yarken.

The debate over AI economics has widened as adoption spreads beyond pilots and into routine operations. Companies now face decisions over which models to use, when to run workloads internally or through third parties, and how to prevent duplication when separate teams buy similar AI services with little shared oversight.

The foundation's work is likely to be watched closely by finance leaders, cloud cost managers and software suppliers because any common framework could influence how AI services are priced, reported and compared. It could also affect internal governance, especially as boards ask for clearer evidence that AI investment is producing measurable returns rather than simply adding a new layer of variable cost.

Kuppan said the central issue is linking usage data with business decision-making.

"Connecting token consumption with business value is essential. By creating clear frameworks to measure both cost and value, organisations can make more informed decisions about their AI investments and continuously track them as they evolve. The Linux Foundation's leadership on tokenomics is an important industry landmark at this stage. Yarken's vision of treating all AI activities as fully costed business inputs aligns perfectly. We are excited to help define the business value and governance needed as AI drives radical change in management best practices and business planning," said Kuppan.