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# 59% of organisations named knowledge and training gaps a main obstacle to responsible AI in 2025, up from 51%
- URL: https://aiadoption.org/data/responsible-ai-implementation-obstacles/
- Published: 2026-10-19T17:07:39.000Z
- Updated: 2026-10-21T06:04:43.000Z
- Description: Knowledge and training gaps were the most cited obstacle to responsible AI in 2025, named by 59% of organisations, up from 51%. Technical limitations rose from 32% to 38%.
- Author: Manu
- Tags: Data, AI Ethics, #chart, #ai-index-2026, #hub-ethics

59%

of organisations named knowledge and training gaps a main obstacle to implementing responsible AI in 2025, up from 51% in 2024

Knowledge and training gaps

202559%

202451%

## What the chart shows

Knowledge and training gaps were the obstacle to implementing responsible AI measures that organisations named most often in both years: 59% in 2025, up from 51% in 2024\. Resource or budget constraints came second at 48% (45% in 2024).

Technical limitations rose from 32% to 38%, and regulatory uncertainty held steady at 41% (40%). Lack of executive support was the least cited obstacle, falling from 16% to 14%.

## Key numbers

| Measure                              | Value |
| ------------------------------------ | ----- |
| Knowledge and training gaps, 2025    | 59%   |
| Knowledge and training gaps, 2024    | 51%   |
| Resource or budget constraints, 2025 | 48%   |
| Regulatory uncertainty, 2025         | 41%   |
| Technical limitations, 2025          | 38%   |
| Technical limitations, 2024          | 32%   |

## How to read it

- Survey of business leaders by the AI Index and McKinsey & Company in 2024 and 2025, across several regions and industries; it has no respondents from China.
- Respondents could name several obstacles, so shares add up to more than 100%.
- ‘Other’ (2% in 2024, 0% in 2025) is not shown; the data file labels both ‘Other’ rows 2024, and the report’s chart shows the second as 2025\. The report also leaves out ‘Unknown’ and ‘None’.

**Source:** [McKinsey & Company Survey](https://aiadoption.org/sources/#mckinsey-state-of-ai), 2025, via the AI Index Report 2026 (Stanford HAI), figure 3.3.9: *Main obstacles to the implementation of responsible AI measures, 2024 vs. 2025*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/responsible-ai-implementation-obstacles.csv?ref=aiadoption.org) · [Cite this chart](#source)