Nonprofit industry group that develops standards and best practices for FinOps, the discipline of managing cloud and AI infrastructure costs.
A dev.to tokenomics primer reports that Uber consumed its full-year AI budget by April and Microsoft canceled internal Claude Code licenses. Underneath both is an agent that re-sends its whole context on every tool call.
Reality
Kion's chief executive argues in Forbes that tokens need cloud-style FinOps discipline, citing a 286-fold fall in per-token inference cost alongside LLM spending that tripled in 2025 and 93 percent of surveyed firms overrunning their AI budgets.
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McKinsey asks organizations whether they are scaling AI enterprise-wide and MIT counts pilots with no measurable bottom-line effect. Greg Keith blames the gap between the two figures on governance.
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Flexera's 2026 estimate puts wasted cloud spend at 29%, its first rise in five years. The remedy being proposed, agents that act inside guardrails, asks for delegated authority before any savings land.
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The argument that cloud waste lives in an ownership gap between engineering and finance holds up on mechanism. The fifth-to-a-third figure that sizes the problem arrives with no citation at all.
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Assistant billing has moved onto credits and tokens, so headcount no longer predicts spend. The harder part: no vendor dashboard can produce a cross-tool cost per developer.
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AI is billed by usage, and the introductory pricing has ended. The programs in trouble are the ones that put exhaustive, repeatable checking work onto a metered model endpoint.
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