Factors in AI adoption
Our analysis
Output quality, security, and price drive adoption — organizations are pragmatic and risk-averse.
Question
When you or your organization decides whether to adopt, continue using, or expand use of an AI tool or model for your work, which factors matter most? Select up to 3.
- multi select
- Optional
- v2026.1
- Randomized
Data
| Respondents | Percent | |
|---|---|---|
| The tool produces useful and accurate results | 3,520 | 30.7% |
| The tool meets security, privacy requirements | 3,290 | 28.7% |
| The price is acceptable for the value it provides | 3,090 | 27.0% |
| The tool meets legal or compliance requirements | 2,557 | 22.3% |
| Not sure | 2,522 | 22.0% |
| Your company policy allows for usage | 1,844 | 16.1% |
| Employees or teams are asking to use it | 1,451 | 12.7% |
| There is evidence that the tool improves business outcomes | 1,446 | 12.6% |
| The tool reduces time spent correcting, retrying, or reworking outputs | 1,401 | 12.2% |
| The tool is worth paying more for because of better results | 1,137 | 9.9% |
| Usage and spending are easy to monitor or limit | 1,089 | 9.5% |
| The tool works well with how people already do their jobs | 1,055 | 9.2% |
| The tool connects with systems people already use | 767 | 6.7% |
| The organization can switch tools or models without major disruption | 665 | 5.8% |
| Human oversight is manageable | 663 | 5.8% |
| Other | 368 | 3.2% |
| Review burden is low | 320 | 2.8% |
| The tool has observability already integrated or built in | 213 | 1.9% |
Use this data
Response data is released under the ODbL 1.0, which asks that you attribute it.
Structured for code, with the question, the year and the source url alongside the numbers.
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Spreadsheet
.csv is a plain text format which most spreadsheet software can open.