DORA 2025 report: AI amplifies what teams already are

2025-09-23 · Publisher : Google Cloud (DORA) · Domain : Cloud & DevOps

On 23 September 2025, DORA publishes its report on AI in software development: 90% of respondents use it, over 80% see a productivity gain, but the negative link with delivery stability persists.

What changes

  • DORA 2025 rests on nearly 5,000 responses and over 100 hours of qualitative research.
  • 90% of respondents use AI at work, over 80% see a productivity gain.
  • The link with delivery stability remains negative, while the one with throughput turns positive.
  • 90% of organizations have an internal platform; its quality determines the value of AI.

### What changes On 23 September 2025, the DORA programme publishes "State of AI-assisted Software Development", based on responses from nearly 5,000 technology professionals and over a hundred hours of qualitative research. Its central thesis: AI acts as an amplifier and magnifies the strengths and weaknesses of organizations. ### Key facts - 90% of respondents use AI at work, and more than 80% believe it has increased their productivity. - 30% report little or no trust in AI-generated code. - The link between AI adoption and delivery throughput turns positive, but the one with delivery stability remains negative. - 90% of organizations have adopted at least one internal platform; its quality conditions the value drawn from AI. - The report proposes an AI capabilities model and seven team profiles, from "foundational challenges" to "harmonious high achievers". ### Why it matters These results give figures for a consulting message: AI does not replace the fundamentals of delivery (small batches, tests, observability, internal platforms) and can even weaken teams that lack them. The six recommended starting points (clear policies, access to internal context, foundational practices, safety nets, platforms, user focus) form a ready-to-use mission roadmap. The report thus recalls that the gains attributed to AI depend on the maturity of existing delivery practices. ### Takeaway AI speeds up already solid teams and exposes fragile ones: DevOps fundamentals remain the prerequisite.

Links

Tags : DevOps, Plateforme engineering, IA, Google Cloud