Blog · AI and teams
90% of software professionals already use AI. The DORA report says it doesn't fix teams: it amplifies what was already there
DORA's report on AI-assisted development found that 90% of respondents use AI at work and more than 80% believe it has increased their productivity. The central conclusion is uncomfortable: AI amplifies an organization's strengths, and its weaknesses too. For a team with problems, AI makes those problems more visible and more intense.
What the report says
On September 23, 2025, DORA presented its State of AI-assisted Software Development report on the Google Cloud blog. It is based on surveys of nearly 5,000 technology professionals around the world and more than 100 hours of qualitative data.
Adoption is nearly universal, but trust lags behind: 30% say they have little or no trust in AI-generated code. And the effect on work cuts both ways. Unlike the previous year, AI adoption showed a positive relationship with how fast software ships and with product performance. But it still has a negative relationship with the stability of what gets deployed.
Why does AI amplify instead of fix?
The report explains it this way: AI speeds up development, and that speed exposes the weaknesses downstream. Without solid controls, such as strong automated testing, good version control practices, and fast feedback loops, a higher volume of changes leads to more instability. Strong teams use AI to get better; teams with problems see those problems grow.
That's why, according to DORA, the biggest return comes from the quality of internal platforms, the clarity of workflows, and team alignment, more than from AI tools. The report found that 90% of organizations have already adopted at least one internal platform, and a direct correlation between a high-quality platform and the ability to get value from AI. It also identified seven capabilities that increase the positive impact of AI on organizations.