The McKinsey Global Survey from November 2025, titled "The state of AI in 2025: Agents, innovation, and transformation," highlights a growing but uneven adoption of AI and agentic AI systems across organizations.

Key Findings:

• •Widespread Use, Limited Scale: Nearly nine out of ten respondents report their organizations are regularly using AI, but most are still in the experimenting or piloting phases. Only one-third report scaling their AI programs enterprise-wide.
• •Rise of AI Agents: Sixty-two percent of organizations are at least experimenting with AI agents. However, the use of agents is not yet widespread, with no more than 10% of respondents reporting scaling AI agents in any single business function.
• The High-Performer Differentiator: Only 6% of respondents qualify as "AI high performers" (those attributing 5% or more of EBIT impact and seeing "significant value" from AI use). These high performers:
• Pursue innovation and growth as objectives, not just efficiency.
• Are nearly three times more likely to fundamentally redesign workflows around AI. This intentional redesign is a key success factor.
• Are more likely to have senior leadership commitment and engagement.
• Implement practices like "Human in the loop" to ensure model output accuracy.
• Invest more, with over one-third committing more than 20% of their digital budget to AI.
• Workforce Impact Varies: Expectations for AI's impact on overall workforce size in the next year are mixed: 43% expect no change, 32% expect a decrease, and 13% expect an increase. However, a larger share expect workforce size changes in the coming year compared to the past year.

See the full report here.