Enterprise adoption of artificial intelligence has reached a clear majority, and the firms that move workloads into production are reporting strong returns, according to McKinsey survey data. As of 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.

Scale of company matters. Some 83 percent of organizations with 5,000 or more employees have deployed AI, compared with 42 percent of firms with 50 to 499 employees, reflecting the resources and data infrastructure that larger enterprises bring to deployment. Budgets are following the trend, with 65 percent of enterprises increasing their AI spending in 2026 at a median rise of 22 percent year over year.

Returns, where they materialize, are substantial. Organizations report an average return of 5.8 times their AI investment within 14 months of production deployment. The results are uneven, however. About 44 percent of AI projects that reach production achieve positive ROI within 12 months, and only 39 percent of organizations report any measurable EBIT impact attributable to AI.

The scaling challenge persists across the board. Nearly two-thirds of respondents say their organizations have not yet begun scaling AI across the enterprise, and just 28 percent describe their adoption as mature with AI embedded across multiple functions. The data depicts a market in which deployment is widespread, returns are real for disciplined adopters, and the gap between pilots and enterprise-wide scaling remains the central hurdle.

Source: McKinsey & Company - https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai