Rising AI costs push enterprises towards multi-model strategies, Capgemini report finds
Nearly six in ten organisations reported higher-than-expected AI expenditure over the past year, prompting businesses to tighten spending controls and explore multi-model AI strategies, according to a new report by the Capgemini Research Institute.
The report, based on a September 2026 survey of 500 senior executives across 10 countries and 13 industries, found that 59% of organisations spent significantly more on AI than expected or budgeted. Among affected organisations, expenditure was 24% higher than expected on average, while 21% of surveyed organisations exceeded their AI budgets by more than 30%.
The findings highlight gaps in how businesses estimate the cost of AI deployment. Apart from direct expenses such as model usage and tokens, organisations also need to account for indirect costs, including human oversight, correcting AI-generated errors and governance. Half of the executives surveyed said AI spending was approved without adequate visibility into its full cost. Only 56%...
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