Most enterprises have adopted artificial intelligence, yet only a small share are capturing meaningful financial returns, according to research from McKinsey and Company examining the state of AI in 2026. While roughly 88 percent of organizations report using AI in at least one business function, only about 6 percent say they capture significant enterprise value from it.

The value realization gap is the report's central theme. Just 39 percent of organizations report any measurable impact on earnings before interest and taxes attributable to AI at the enterprise level, and only about 6 percent qualify as high performers that trace more than 5 percent of EBIT to AI. Broader industry estimates suggest that between 80 and 95 percent of AI projects fail to deliver their promised return.

Where AI does pay off, the returns can be substantial. One McKinsey survey figure cited an average return of 5.8 times investment within 14 months of production deployment, while separate Forrester research found that 44 percent of AI projects reaching production achieve positive ROI within 12 months.

The most commonly cited obstacle is not the technology itself. About 52 percent of businesses point to data quality and availability as the biggest barrier to adoption, reinforcing a recurring conclusion that integration and data readiness, rather than model performance, determine whether AI investments generate value.

Source: McKinsey and Company - https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-forward/state-of-ai-trust-in-2026-shifting-to-the-agentic-era