FinOps AI governance is being stress-tested as AI spending accelerates across enterprises. The familiar levers of cost optimization — tagging, rightsizing and reserved capacity — are proving insufficient against a cost model governed by tokens, opaque billing and architectures that shift faster than governance frameworks can keep pace with.The pressure is acute. According to the FinOps Foundation’s “State of FinOps 2026 Report,” 98% of practitioners now manage AI spend, up from just 31% two years ago — yet most organizations still lack the visibility and governance structures to control it at scale