Video by The Linux Foundation via YouTube
AI spending is accelerating faster than most organizations can track it, and the billing data coming from model providers and cloud platforms is not yet granular enough to tell teams where the money is actually going. Without a common framework, engineering and finance teams are flying blind on one of the fastest-growing line items in their budget.
In this exclusive interview with Swapnil Bhartiya at TFiR, Mike Fuller, Member of the Technical Staff, Tokenomics Foundation, breaks down how organizations can gain visibility into AI token spend, connect costs to business outcomes, and build governance before budgets spiral.
Key Topics Covered:
– Why token cost applies to both API-based inference and on-premises model deployments, including hardware procurement, energy, cooling, and lifecycle management
– How the Tokenomics Foundation structures AI value across three domains: production, consumption, and monetization, and where the biggest efficiency opportunities sit today
– The critical gap between cloud billing data and observability telemetry, and why teams must pair both data sets to understand cost at the team, application, and operation level
– Practical first steps for organizations already mid-journey on AI adoption, including scoping internal productivity AI versus customer-facing product AI separately
– Why optimizing token consumption can degrade output quality, and how the industry needs new tooling and best practices to balance cost and performance without compromising results
Read the full story and transcript at www.tfir.io
#Tokenomics #FinOps #AIInfrastructure #TokenCost #LLMOps #AIGovernance #GenAI #CloudCost #LinuxFoundation #OpenSource #AIStrategy #FinOpsFoundation #AIOperations #MachineLearnignOps #TechLeadership