Key Takeaways

  • According to the FinOps Foundation's annual "2026 State of FinOps" report, AI cost management is the most sought-after skill for FinOps teams, with 58% of surveyed companies indicating this. Among 1,192 survey respondents, nearly all organizations are struggling to manage AI spending, compared to 63% in 2025.
  • FinOps has entered the executive spotlight, with 78% of teams reporting to CTOs or CIOs, up from 61% in 2023. The report notes that FinOps teams are "overwhelmingly housed within technology organizations, while maintaining a dotted-line reporting relationship to finance."
  • The report shows that FinOps has evolved into a multi-technology practice over the years. Nine out of ten practitioners manage SaaS, up from 65% in 2025; 64% manage software licenses, compared to 49% in 2025; and 57% manage private cloud, up from 39% in 2025.

Deep Insights

With the proliferation of AI applications, managing AI costs has become a critical concern for enterprises, which has also accelerated FinOps' continued expansion beyond the cloud. AI not only "dominates the forward-looking agenda" but also broadens FinOps' scope of responsibilities, making it a key player in IT decision-making.

The report found that FinOps leaders are more frequently participating in strategic vendor negotiations, evaluating long-term investment decisions, and providing technical due diligence in mergers and acquisitions. Respondents indicated that practitioners reporting to CTOs or CIOs have two to four times more influence over technology choices.

FinOps has become deeply rooted in technology leadership, while the proportion of teams reporting to CFOs has dropped to 8%. The report states: "This indicates that FinOps is increasingly viewed as a technical capability related to architecture, engineering, and platform decisions, rather than merely financial reporting or cost optimization." Global IT spending is expected to grow 9.8% year-over-year, surpassing $6 trillion for the first time in 2026, according to Gartner's October forecast.

"Software costs are rising, and thanks to GenAI, the cost of features and capabilities is also rising," said John-David Lovelock, Distinguished VP Analyst at Gartner, in a press release.