McKinsey's 2026 State of AI research reports that 88 percent of respondents say their organizations regularly use artificial intelligence in at least one business function, with 72 percent using generative AI specifically, up from 33 percent in 2024.

Production status tells a different story than adoption status. More than 75 percent of organizations have deployed AI in at least one function, yet only 31 percent of prioritized use cases have reached full production. Nearly two-thirds of surveyed organizations have not begun scaling AI across the enterprise at all.

Financial impact concentrates in a narrow band. Roughly 6 percent of organizations qualify as AI high performers under McKinsey's definition, attributing more than 5 percent of earnings before interest and taxes to AI initiatives.

The research identifies measurement as the strongest available predictor of bottom-line results. Organizations tracking defined key performance indicators for generative AI show the clearest link to financial impact, yet fewer than 20 percent of enterprises track those indicators at all. The finding places a basic instrumentation gap ahead of model selection or technical architecture as an explanation for variance in outcomes.

Scaling practices show a similar pattern. Organizations that adopt six or more of the identified scaling practices, covering strategy, talent, operating model, technology, data, and adoption, materially outperform peers on revenue impact.

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