McKinsey's State of AI 2025: 23% of respondents are scaling an agentic AI system, 39% experimenting. 39% attribute any EBIT impact to AI, most saying <5% of EBIT. A 6% 'AI high performer' segment attributes >5% of EBIT to AI.
- Source
- McKinsey Global Institute · archived
- Analyst published
- Logged
- Cadence
- 90 days
- Next review
- 2026-07-18
Why this was logged
McKinsey State of AI is the longest-running enterprise-AI benchmark. The Nov 2025 edition anchored the Q1 2026 "scaling gap" narrative. Re-cited heavily through April 2026.
Review history
No reviews yet. First review scheduled for 2026-07-18.
This record tracks what the source stated, with evidence for the current verdict. Verdicts describe what the evidence shows, not vendor intent. See methodology for the full counter-evidence + review discipline.
Published Nov 2025 but dominant through Q1 2026. Four separable claims: scaling rate (23%), experimentation rate (39%), EBIT-impact rate (39%), high-performer segment (6%). Review at 90 days against the next State of AI refresh (typically May-June).