Insurers boost AI budgets as CEOs expect returns within three years

Insurers are moving AI out of the pilot stage and into the budget fight. Two-thirds of insurance CEOs now plan to dedicate 10% to 20% of their budgets to AI, while another 16% plan to spend even more, a sign that the technology has become a board-level capital allocation decision rather than a side project.

That commitment comes with a tight clock. In the same survey, 67% of respondents said they expect returns within one to three years, which raises the stakes for every AI dollar that gets approved. In a sector that has traditionally moved cautiously on technology spending, that timeline shows executives are no longer treating AI as an abstract bet on the future. They are expecting it to cash flow back quickly.

The findings came from a survey of 110 insurance CEOs across 11 markets, including the UK, US, Germany, France, Japan, China, India and Australia. The respondents represented life, auto, home, property and casualty, health, reinsurance and broker organizations, making the spending shift broad enough to cut across product lines and maturity levels. That breadth matters because it suggests the pressure to operationalize AI is no longer isolated to one market or one type of carrier.

For property and casualty software vendors, the message is especially direct. AI budgets at this scale only translate into value if they are tied to underwriting, claims, digital distribution and day-to-day operational decisions. The most obvious near-term winners are likely to be claims processing, algorithmic underwriting and customer engagement, where faster decisions and lower operating costs are easiest to measure. That means vendors will be judged less on how convincingly they market AI and more on whether they can prove measurable ROI inside insurer workflows.

The deeper shift is one of accountability. The June 16 report suggests insurance leadership is moving beyond experimentation and into commercialization, with AI now expected to justify itself through business performance. As those budgets grow, the industry’s AI winners will be the companies that can connect model capability to systems work, workflow redesign and real financial returns.