Enterprise AI deployment continues to climb, but the returns remain concentrated in a small group of top performers, according to McKinsey's State of AI research. The share of enterprises running at least one AI workload in production reached 72 percent in the first quarter of 2026, up from 55 percent in 2024 and 20 percent in 2020, marking a steep acceleration in real deployment rather than pilots.

Value capture has not kept pace. McKinsey identifies a small group of AI high performers, roughly 6 percent of respondents, as organizations that report significant value and attribute more than 5 percent of earnings before interest and taxes to AI. For the broader population, results are thinner. While 64 percent of respondents say AI is enabling innovation, just 39 percent report enterprise-level EBIT impact from the technology.

The scaling challenge is visible in the agent numbers. Twenty-three percent of respondents report their organizations are scaling an agentic AI system somewhere in the enterprise, while an additional 39 percent say they have begun experimenting with AI agents. That split mirrors a wider pattern in which access to AI tools has become common but disciplined, value-generating deployment remains rare.

External surveys reinforce the caution. A separate CEO survey found that 56 percent of chief executives reported no measurable ROI from AI over the prior 12 months. Taken together, the data describes a market where production adoption is now the norm, yet the financial payoff still depends heavily on data quality, workflow redesign, and governance rather than on model access alone.

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