Nearly eight in ten organizations are using generative AI in at least one business function, according to McKinsey's 2025 State of AI survey, published as the firm's most recent annual benchmark for enterprise AI adoption. The figure represents continued growth from prior years and signals that generative AI has moved from pilot programs into embedded business operations for a large portion of global enterprises.

Sixty-two percent of survey respondents say their organizations are experimenting with agentic AI, and 23 percent report actively scaling an agentic AI system somewhere within their enterprise. Experimentation is broad, but deep deployment remains limited: in any given business function, no more than 10 percent of respondents report their organizations are scaling AI agents.

Despite high adoption rates, impact measurement remains a challenge. Sixty percent of respondents have not seen enterprise-wide EBIT impact from their AI programs, though 64 percent say AI is enabling innovation within their organizations. Only 39 percent report measurable EBIT impact at the enterprise level.

The technology sector leads in scaled agentic AI deployment, with software engineering and IT functions reporting the highest levels of AI agent adoption. Nearly two-thirds of respondents say their organizations have not yet begun scaling AI across the enterprise.

The McKinsey data reflects a pattern common in large-scale technology transitions: broad experimentation, uneven implementation depth, and a multi-year lag between deployment and measurable financial returns at scale.

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