AI investment may lead to higher costs for enterprises, according to mckinsey report

McKinsey has warned that as intelligent agents become more widespread, AI spending could increase significantly. Unlike text-based AI tools, intelligent agents perform actual tasks, often involving multiple steps and varying methods, which can lead to much higher operational costs. A McKinsey study found that the cost gap between different agents can be as high as 30 times. According to McKinsey's '2026 AI Outlook' survey, about a third of organizations allocate more than 10% of their technology budget to AI, while 60% plan to increase AI spending next year. Around 20% of respondents noted that AI costs are already putting pressure on operational budgets. McKinsey's senior partner, Teng Ji Katlin, stated that AI spending is becoming increasingly significant. McKinsey also highlighted that software development teams using AI for automated programming face particular cost pressures due to the high token consumption. Companies like Amazon, Coinbase, and Salesforce have started restricting AI usage due to rising costs. McKinsey's report also noted that intelligent agents can reduce manual time for office tasks by 35% to 40%, sometimes even up to 70%. Senior partner Larry Haimanen added that many of these insights are only now becoming clear, and the issue will become increasingly important over the next 12 months.