The New Calculus of AI: SHI Helps Forge a Blueprint for Value

SOMERSET, NJ – August 04, 2026 – In the relentless gold rush toward enterprise AI, a critical question is finally taking center stage: What is all of this actually worth? As organizations pour billions into generative and agentic AI, many are finding themselves “flying blind,” grappling with spiraling, opaque costs and a frustrating inability to prove return on investment. Addressing this growing crisis, technology solutions provider SHI International has announced it is joining the newly formed Tokenomics Foundation as a founding member, signaling a pivotal industry shift from unbridled experimentation to sustainable, value-driven AI adoption.

This move goes far beyond a simple corporate partnership. It places SHI, a $16 billion firm and the largest Minority and Woman Owned Business Enterprise (MWBE) in the U.S., at the heart of a crucial effort to create the very rulebook for AI economics. The Tokenomics Foundation, hosted by the influential Linux Foundation, aims to establish the open standards and best practices urgently needed to measure, manage, and monetize AI investments. For business leaders under immense pressure to justify AI spending, this initiative isn't just welcome—it's essential.

The Unseen Costs of an AI Gold Rush

The AI spending boom is staggering. Global investment in generative AI is projected to soar past $600 billion by next year, and some analysts predict that enterprise token usage will multiply 24-fold by 2030. Yet, this investment has created a paradox: while spending accelerates, measurable value lags. Fewer than 10% of organizations today can report a tangible ROI on their AI initiatives.

The culprit is a complex and often misunderstood cost structure centered around 'token consumption.' Every piece of text an AI model reads (input) or generates (output) is measured in tokens, and each token has a price. As businesses move from simple chatbots to complex, automated 'agentic' workflows—which can consume up to 30 times more tokens—these micro-costs are creating a macro-level financial headache. One industry executive recently warned that token costs have escalated from an engineering footnote to a “CEO-level concern.”

Without a common framework, businesses are left to decipher a fragmented landscape of vendor-specific pricing models, making it nearly impossible to compare costs, forecast budgets, or attribute expenses to specific business outcomes. This lack of transparency leads to unchecked spending, fragmented governance, and a high risk of what many are calling an impending AI “cost shock” as initial provider subsidies and credits begin to dry up.

Forging a Common Language for AI Value

The Tokenomics Foundation aims to bring order to this chaos. By gathering a powerful consortium of over 30 founding members—including industry giants like IBM, Oracle, JPMorgan Chase, and ServiceNow—the foundation is building a vendor-neutral ground for collaboration. Its mission is to define a shared language and set of metrics for AI economics, much like its sibling organization, the FinOps Foundation, did for cloud spending.

This initiative will work to develop standard frameworks for measuring the total cost of AI, which extends far beyond tokens to include compute, storage, data, and engineering talent. A key objective is expanding the FinOps Open Cost and Usage Specification (FOCUS) to incorporate token-based AI consumption, providing a unified view of technology spending. For CIOs and CFOs, this promises a future where they can finally benchmark AI performance, optimize costs across different models and platforms, and confidently link investments to measurable business impact.

“SHI has established itself as a key voice and member across the technology value community including the FinOps Foundation, ITAM Forum, and now Tokenomics Foundation,” said J.R. Storment, Executive Director of the Tokenomics Foundation. “As organizations work to measure value from AI spend, Tokenomics Foundation gives them a neutral, community-built discipline to do it, and we look forward to the insight SHI will add as we define AI value management together.”

SHI's Strategic Play: From FinOps to Tokenomics

For SHI International, joining the Tokenomics Foundation is a natural extension of its long-standing expertise in helping clients manage complex technology ecosystems. As a Premier member of the FinOps Foundation and a leader in IT Asset Management (ITAM), the company has built its reputation on providing the governance and financial oversight necessary for sound technology investment. This move strategically positions SHI not just as a technology provider, but as a critical partner in navigating the financial frontier of AI.

“As organizations move from experimenting with AI to operating it at scale, the ability to understand how token consumption drives cost, efficiency, and business value is becoming critical,” explained Shane Cronin, Head of FinOps & ITAM Services at SHI. “SHI has long believed that strong governance requires collaboration across the disciplines of IT Asset Management, FinOps, and now AI economics. We are committed to helping shape the industry standards, frameworks, and best practices organizations need to manage technology and AI investments with confidence.”

This commitment reinforces SHI's role as a trusted guide for its 17,000 customers. By contributing its deep practitioner experience to the foundation, the company is helping to build the tools its clients will need to move beyond the hype cycle and embed AI as a sustainable, profitable, and well-governed component of their business strategy. It’s a proactive step that demonstrates an understanding that the next phase of AI innovation will be won not just by the most powerful models, but by the most economically sound strategies.

Building a Sustainable and Accountable AI Future

The formation of the Tokenomics Foundation marks a maturation point for the entire AI industry. It reflects a collective understanding that for AI to fulfill its transformative potential, it must be built on a foundation of financial transparency, accountability, and open collaboration. Initiatives like the upcoming Tokenomicon conference, dedicated to the economics of AI, further underscore the momentum behind this new discipline.

By championing open, community-driven standards over proprietary, black-box solutions, the foundation and its members are working to ensure that the benefits of AI are accessible and manageable for all, not just a select few with the deepest pockets. This collaborative effort is the first step toward creating a durable framework where innovation can thrive without leading to runaway costs or a crisis of confidence in the boardroom. The calculus of AI is changing, and the focus is shifting decisively from capability to value.