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[1/2] McKinsey’s Reports on Generative AI (Category AI)

Continuing my review of AI-adoption research, I liked McKinsey’s regular series on the subject. It began in 2023 and continued through 2024 and 2025, giving us enough history to examine trends over time. I will discuss these reports:

Some metrics across these reports can be read as time series.

❤️‍🔥 Adoption and its breadth

1) “AI use/adoption in at least one business function”: the main recurring KPI This is the most consistent metric in the series: the share of respondents whose companies use AI in at least one function.

  • 2023: 55%.
  • Early 2024: 72%.
  • Mid-2024: 78%.
  • 2025: 88%. It measures penetration—whether AI is used anywhere—but does not distinguish pilots from production particularly well.

2) “Organizations regularly using gen AI in ≥1 business function”: another recurring KPI The November 2025 edition does not emphasize this measure.

  • 2023: 33%.
  • Early 2024: 65%.
  • Mid-2024: 71%.
  • 2025: N/A. The text gives no separate figure, focusing instead on agents and AI overall.

3) “AI spreads across multiple functions”: breadth of use, only partly comparable This one is trickier. The idea stays similar, but the wording changes: ≥2 functions, more than 1 function, or ≥3 functions.

  • 2023: less than 33% had adopted AI in two or more functions.
  • Early 2024: 50% had adopted it in two or more functions.
  • Mid-2024: N/A.
  • 2025: more than 66% used AI in more than one function, and 50% in three or more functions. The authors seem more interested in finding ways to measure breadth than in year-to-year comparability, gradually raising the number of functions in the question.

In the next part, I will discuss AI and GenAI’s reported effects on companies, and the “high performers” who get more from adoption. I have covered that here, but the continuation shows how the high-performance criteria change over time.

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