56%
of respondents reported cost decreases from analytical AI in software engineering, as in manufacturing (knowledge management: 44%)
What the chart shows
In McKinsey’s survey data for 2024, 56% of respondents reported that analytical AI had decreased costs in software engineering, and the same share in manufacturing. IT followed at 54% and strategy and corporate finance at 53%; knowledge management was lowest at 44%.
Most reported savings were small: in software engineering, 35% of respondents saw costs fall by less than 10% and 6% by 20% or more. On the revenue side, marketing and sales led, with 67% of respondents reporting increases from analytical AI.
Key numbers
| Measure | Value |
|---|---|
| Software engineering | 56% |
| Manufacturing | 56% |
| IT | 54% |
| Knowledge management | 44% |
| Software engineering, cost down by less than 10% | 35% |
| Marketing and sales, revenue increase | 67% |
How to read it
- Analytical AI is McKinsey’s term for AI other than generative AI. Shares are of survey respondents, not of companies.
- The data file dates these responses 2024; the report’s chart title says 2025. We use the data’s year.
- Each bar adds three bands (cost down by less than 10%, 10–19%, and 20% or more); the bands can differ from the total by a point because of rounding.
- The data also has revenue increases for seven functions; they are in the CSV but not drawn.
Source: McKinsey & Company Survey, 2025, via the AI Index Report 2026 (Stanford HAI), figure 4.3.4: Cost decrease and revenue increase from analytical AI use by function, 2025. Chart and text by AI Adoption.
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
Numbers checked against the published data on 20 October 2026.
Download the data (CSV) · Cite this chart
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