UK finance chiefs are warming to AI, even as they keep spending in check

The business move

Nearly three-quarters of finance chiefs at the UK’s largest companies express confidence that artificial intelligence will boost business performance. That optimism jumped sharply to 73% in Deloitte’s latest UK CFO Survey, up from 59% at the end of 2025 and only 39% two years earlier. Despite this heightened enthusiasm for AI, the surveyed CFOs remain cautious, maintaining tight control on spending.

Why it matters

Finance leaders typically take a conservative view on emerging technologies, so this surge in AI optimism signals a meaningful shift in executive sentiment. It pressures finance teams and operational leaders to justify AI investments with clear returns, even as overall budgets stay lean. The cautious spending stance suggests companies are not planning to pour cash into AI unchecked but are likely prioritizing pilot programs or targeted use cases that prove value quickly.

For businesses, this means AI deployments will focus more on practical performance enhancements and less on experimental or large-scale transformations for now. CFOs’ optimism also raises the bar for AI vendors and consultants to deliver measurable impact within constrained budgets and clear timelines.

Who gains and who gets squeezed

AI vendors who can demonstrate cost-effective, measurable improvements in areas like forecasting, risk management, and efficiency will find UK finance chiefs eager to engage. Conversely, providers pitching broad or unproven capabilities may face resistance as buyers insist on tighter spending discipline.

Finance teams that can embed AI into critical reporting and decision-making processes with transparent ROI have a chance to strengthen their operational relevance. At the same time, parts of finance reliant on legacy manual workflows risk being sidelined if they cannot adapt to AI-driven efficiency pressures.

What to watch next

Keep an eye on how UK CFOs balance optimism with spending restraint in the coming quarters. Watch for which AI use cases gain traction and how quickly CFOs shift from cautious pilots to larger scale rollouts.

The near-term focus will likely stay on finance functions, but successful early adopters could set examples that push AI adoption into broader business units. Also track vendor responses—whether they adapt their offerings to meet tighter budget demands or risk losing business.

AI Quick Briefs Editorial Desk