Global spending on artificial intelligence reached $301 billion in 2026, up from $223 billion in 2025, according to enterprise AI spending data. The jump reflects how deeply budgets have shifted toward AI infrastructure, software, and services, even as many buyers struggle to quantify the return.

Generative AI accounts for much of the acceleration. Enterprise generative AI spending grew 222 percent from 2024 to 2025, reaching about $37 billion, as organizations moved from small trials to funded programs. By the first quarter of 2026, 72 percent of enterprises had at least one AI workload in production, up from 55 percent in 2024 and just 20 percent in 2020.

The spending curve has outrun the proof of value. Survey data shows 66 percent of organizations report productivity gains, but only 20 percent see AI-driven revenue growth, and roughly a quarter of initiatives delivered the return executives expected. Only about 15 percent of finance leaders say they can calculate AI return without significant bottlenecks, which keeps scrutiny high on new budget requests.

Adoption varies widely by sector. Technology leads at 88 percent, financial services follows at 79 percent, and education trails near 34 percent. Agentic systems draw the most attention and the most caution, with about 23 percent of organizations scaling an agentic deployment and another 39 percent experimenting, while analysts warn that a large share of agentic projects may be canceled by 2027 over unclear return and weak governance. The figures point to a market still spending ahead of measured payback.

Source: Enterprise AI Spending Report -- https://www.aboutchromebooks.com/enterprise-ai-spending-statistics/