What 500 finance leaders actually know about their AI spend.
Every modern enterprise spends on AI.
But few can prove what returns on investment - if any - it's providing. This report breaks down AI spend data apart by country, seniority, company size, and FinOps maturity, so you can benchmark your organization and what that position predicts about your exposure. AI spending has crossed a threshold that changes the conversation for every CTO and CIO. The question is no longer whether to invest. Every organization in this research already has. The question is whether anyone can prove what that investment is returning before the people who approved it start asking. Download the survey now to learn more =>
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Written by
DoiT Cloud Intelligence is a cloud cost and operations expert with a decade of experience helping engineering and finance teams cut through multi-cloud complexity. Known for data-backed analysis over vendor noise, DoiT Cloud Intelligence writes about FinOps, Kubernetes optimization, and the unglamorous work of actually acting on cloud insights.
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The headline figures
experienced AI-related cost overruns in the past 12 months
can calculate AI ROI without significant bottlenecks
are already changing AI spend or will within 12 months
overrun rate among the most mature FinOps organizations, the highest in the dataset
gap between how C-suite and managers rate the same organization's FinOps maturity
mean share of total technology spend now allocated to AI
The average conceals more than it reveals.
The maturity paradox
Better governance does not mean fewer overruns
The organizations with the most mature FinOps practices run the highest overrun rates. Not because governance failed them, but because mature programs are larger and far better at surfacing what was already happening.
The accountability vacuum
Ownership of AI spend is split, and split means unowned
Accountability sits almost evenly between Technology at 55% and Finance at 53%. When spend decisions conflict at the operational level, the data shows there is often no clear answer to who decides.
The patience window
The ROI clock is already running
83% expect quantifiable returns within 12 months, and C-suite leaders are moving twice as fast as managers. Programs without measurement infrastructure in place are the first to be cut when patience runs out.
FinOps maturity is a precondition for knowing what is actually happening. It is not a protection against overruns occurring.
From The AI Spend Reality Check
Built for the people accountable for the spend
CTOs & CIOs
See where your organization sits on ROI readiness, time-to-value, and the ownership question your board is about to raise, benchmarked against peers of comparable size and maturity.
VPs of Engineering
Understand the visibility gap between leadership and operations, and why programs without internalized urgency are the most likely to be restructured at the next review.
FinOps & Finance leaders
Locate your practice in segmented data on attribution, per-unit cost tracking, and unit economics adoption, against the country, sector, and size cuts that matter to you.