Cloud infrastructure has emerged as one of the largest and most volatile cost items for start-up SaaS and technology companies, prompting chief financial officers to take direct control of governance and forecasting.
New research from Cloud Capital, based on a survey of 100 CFOs and senior finance leaders in the US and UK, shows that cloud infrastructure spending now averages nearly 10% of revenue in young technology businesses. Nearly one quarter of respondents say cloud costs have reached between 13% and more than 20% of revenue.
Cloud now ranks as the second highest expense for these firms after staff salaries. The report describes a sector in which rapid adoption of cloud and artificial intelligence services has outpaced financial controls and predictability.
The study focuses on companies with up to 1,000 employees. It suggests a structural shift over the past 12 to 18 months as financial leaders assume responsibility for what was once the domain of engineering teams.
Cloud spend typically represents between 6% and 12% of revenue in SaaS businesses in the sample. It can rise to between 30% and 40% of revenue for AI-native companies, according to the research.
AI and machine learning workloads already account for 22% of total cloud spend among respondents. The data indicates that AI-related adoption is embedding additional cost and volatility into cloud bills at an early stage of deployment.
Almost nine in ten CFOs surveyed, or 89%, say rising cloud costs have eroded company profitability. Cloud Capital reports that 97% of respondents have now implemented formal cloud governance policies, and 62% say those policies are fully implemented.
Finance steps in
Cloud cost management has traditionally sat with engineering and product teams. The new findings indicate that this model is shifting as the financial impact grows.
Cloud Capital reports that many firms now operate joint Finance-Engineering ownership structures for cloud spend. In some cases, the office of the CFO has assumed primary responsibility for budget setting and forecasting, while engineers focus on technical optimisation.
The research suggests that this change has measurable effects on financial performance. Among teams where Finance is involved in cloud cost management, 32% achieve highly predictable forecasts, defined as less than 5% monthly variance. Only 16% of Engineering-owned teams report the same level of predictability.
Cloud Capital also cites a 50% increase in cost of goods sold confidence when Finance participates in cloud governance, and a 25% improvement in reported visibility into cloud spending.
Edward Barrow, CEO and Co-Founder at Cloud Capital, said this shift reflects growing unease among finance leaders. "CFOs report month-to-month variability of 5-10% as standard. Right now, cloud's unpredictability is disproportionate to its size and completely out of line with what CFOs expect from any other major expense. That's the financial tension driving this shift toward tighter governance and Finance ownership," said Barrow.
Forecast accuracy pressure
The report shows that 71% of businesses now re-forecast cloud costs at least quarterly. This suggests that finance teams are making cloud spend a regular item in planning cycles.
Only 26% of CFOs describe their alignment between actual cloud spend and forecasts as "highly predictable". Many firms remain exposed to swings in monthly bills that complicate margin management and investor reporting.
Improving forecast accuracy ranks as the top cloud cost priority for 2026 among CFOs and finance leaders at young, fast-growth technology companies, with 44% naming it as their main focus.
Most respondents have seen steady increases in cloud bills. The research states that 80% of companies increased cloud spend in the past 12 months, and 73% expect further increases in the coming year.
Cloud Capital notes that 92% of tech start-ups in the sample lack a dedicated FinOps function. This suggests that finance leaders and engineering teams are sharing responsibility without a separate specialist discipline in most early-stage companies.
AI trade-offs
Finance leaders are starting to apply a different lens to AI-related cloud spending. AI and machine learning already make up nearly a quarter of cloud spend among the respondents.
When asked about trade-offs, 72% of CFOs and finance leaders say they would accept short-term increases in AI-related cloud costs for features that drive user growth. They would accept temporary margin compression in exchange for what they view as longer-term competitive positioning.
Casey Woo, Co-Founder and CEO at Operators Guild, said the findings reflect a recalibration of operating models in technology firms. "Cloud has moved into the top tier of operating costs. AI workloads already account for nearly a quarter of that spend. Forecast variance is hitting ranges that would be unthinkable for any other major cost center. And margin performance tracks directly with how well teams can see, model, and govern this spend," said Woo.
Maturity gap
Barrow said the research highlights a growing challenge for finance teams as cloud becomes more central to business operations. "Cloud infrastructure is now central to business performance but as costs rise so does the pressure on finance teams to predict, justify and optimise spend. The findings underline a maturity gap between cloud adoption and financial control. For CFOs, the next frontier is establishing agile, data-driven financial governance that can balance innovation with cost predictability," said Barrow.
He added that the stakes are increasing as the market expands. "We are addressing one of the digital economy's most pressing inefficiencies: the mismanagement of cloud infrastructure, a $294 billion market. This challenge will only intensify as AI's share of cloud spend continues scaling at pace," said Barrow.
