The FinOps Foundation released their 2026 State of FinOps report, and the biggest takeaway isn't about cloud costs anymore.
They changed their mission statement. "Cloud value" is now "technology value management." That's not just branding. It reflects what practitioners have been doing for the past two years without anyone officially naming it.
The scope keeps growing
98% of FinOps practitioners now manage AI spend. SaaS, private cloud, and data centers are all in scope now too.
Two years ago, most of us were focused on reserved instances and right-sizing EC2. Now the same frameworks and operating models are being applied to GPU clusters, SaaS renewals, and on-prem infrastructure. The tooling caught up faster than I expected.
AI is the priority, but not in the way you'd think
FinOps for AI is the number one forward-looking priority in the survey. What's interesting is how organizations are funding it. Teams are being asked to self-fund AI investments from optimization savings they find elsewhere.
That's a clever feedback loop. You get budget for new capabilities by proving you can manage existing ones well. It creates a natural incentive to keep optimizing even as scope expands.
Where FinOps reports now
The reporting structure shifted. FinOps teams sit under CTO or CIO organizations now. CFO reporting dropped to 8%.
That tracks with what I've seen. When FinOps was purely about cutting cloud bills, finance owned it. Now that it covers AI strategy, SaaS governance, and infrastructure planning, it belongs closer to the technology decisions.
The skills gap is real
The most in-demand skills aren't what they were three years ago. Anomaly detection, automation, natural language cost queries. The field wants people who can build, not just analyze spreadsheets.
81% of organizations use centralized enablement or hub-and-spoke models. That means fewer people doing more across a wider surface area. Automation isn't optional at that scale.
FOCUS is becoming the connective tissue
The open billing standard (FOCUS) keeps gaining adoption. Practitioners want it expanded to cover AI, data centers, and SaaS. That makes sense. If you're managing five different technology categories through one operating model, you need a common data format underneath.
Optimization isn't the whole story anymore
This is the part that surprised me most. Governance, scope expansion, org alignment, and forecasting now collectively matter more than pure optimization. The field is genuinely about technology investment decisions now, not just cloud savings.
Even a few years ago at the FinOps Hackathon, you could feel it pushing beyond cloud. Seeing it formalized in the data is satisfying.
The full report is at data.finops.org if you want to dig into the numbers yourself.