# dora-report-2025-ai-software-dev-2025-09-23

## Veille

DORA 2025 Report - AI Amplifies Team Performance - Google Cloud Blog

## Titre Article

Announcing the 2025 DORA Report: State of AI-Assisted Software Development

## Date

2025-09-23

## URL

https://cloud.google.com/blog/products/ai-machine-learning/announcing-the-2025-dora-report

## Keywords

AI & Machine Learning, DevOps & SRE, Software Development, Team Performance, AI Adoption, Platform Engineering, DORA Metrics

## Authors

Nathen Harvey, Derek DeBellis

## Ton

**Profile:** Professional-Educational | Institutional with direct address | Educational-Prescriptive | Intermediate-Expert

Harvey and DeBellis adopt the authoritative tone of Google Cloud research, combining data-driven insights with actionable recommendations. The central metaphor "AI as amplifier" memorably crystallizes the main conclusion. Figures are deployed strategically (90% adoption, 80% belief in productivity gains, 5,000 surveys) to empirically anchor the claims. The introduction of the DORA AI Capabilities Model with 7 archetypes provides a structured self-assessment framework. Prescriptive language positions the report as an implementation guide. The framing around organizational capabilities rather than tools signals a maturity orientation. The report targets CTOs/VPs of Engineering with a mix of strategic vision and tactical advice. Typical of enterprise research reports (Google, McKinsey style) aimed at influencing organizational strategy.

## Pense-betes

- AI acts as an "amplifier" of existing team dynamics
- 90% of organizations have adopted at least one AI platform
- More than 80% believe AI increases productivity
- Introduction of the "DORA AI Capabilities Model" with 7 team archetypes
- 7 critical capabilities identified to maximize AI's impact
- AI does not fix teams, it amplifies existing strengths and weaknesses
- Platform engineering is fundamental to unlocking AI's potential

## RésuméDe400mots

The 2025 DORA Report examines the impact of artificial intelligence on software development, revealing that AI acts as an "amplifier" of existing team dynamics. Drawing on more than 100 hours of qualitative research and nearly 5,000 surveys of technology professionals, the report highlights that high-performing teams leverage AI to become even more effective, while struggling teams see their existing challenges intensified by AI adoption.

The main findings of the research include near-universal AI adoption, with 90% of respondents using at least one platform, and more than 80% believing that AI increases their productivity. The report introduces a "DORA AI Capabilities Model" that identifies seven team archetypes, ranging from "foundational challenges" to "harmonious high achievers."

This typology allows organizations to position themselves on a maturity continuum and identify improvement levers specific to their situation. The highest-performing teams do not simply adopt AI tools; they cultivate a technical and cultural environment conducive to their optimal use.

The research emphasizes that the value of AI does not lie in the tools themselves, but in the technical practices and cultural environment that surround them. Seven critical capabilities have been identified that amplify the positive impact of AI on the organization: clarity of AI policies, connection to internal context, investment in foundational practices, user-centeredness, platform engineering, a culture of continuous learning, and outcome measurement.

The report places particular emphasis on the importance of platform engineering as a foundation for unlocking AI's potential. Organizations that have invested in robust internal platforms are better positioned to leverage AI capabilities, as they already have the infrastructure, processes, and culture required.

A crucial point of the report is that AI does not fix dysfunctional teams - it amplifies what already exists. A team with poor development practices, nonexistent documentation, or a siloed culture will see these problems exacerbated by AI adoption. Conversely, a team with strong technical fundamentals and a collaborative culture will see its capabilities multiplied.

The report recommends that leaders treat AI adoption as an organizational transformation, not merely a tool deployment. This involves clarifying AI usage policies, connecting AI to the company's internal context, and investing in foundational software development practices.

In conclusion, the 2025 DORA Report provides a strategic roadmap for organizations to move from simple AI adoption to truly unlocking its transformative potential, emphasizing organizational capabilities over technological tools.

## GrapheDeConnaissance

- Nathen Harvey —publie→ Rapport DORA 2025 (DOCUMENT, 0.98)
- Derek DeBellis —publie→ Rapport DORA 2025 (DOCUMENT, 0.98)
- Google Cloud —publie→ Rapport DORA 2025 (DOCUMENT, 0.97)
- Rapport DORA 2025 —affirme_que→ l'IA amplifie les dynamiques d'équipe existantes (AFFIRMATION, 0.98)
- IA (amplificateur) —améliore→ livraison logicielle (throughput) (CONCEPT, 0.9)
- IA (amplificateur) —réduit→ stabilité livraison logicielle (CONCEPT, 0.88)
- Platform Engineering —permet→ adoption réussie (CONCEPT, 0.93)
- DORA AI Capabilities Model —affirme_que→ il existe sept archétypes d'équipes, des défis fondamentaux aux high achievers harmonieux (AFFIRMATION, 0.97)
- Rapport DORA 2025 —est_basé_sur→ 5000 enquêtes professionnels (CONCEPT, 0.98)
- Rapport DORA 2025 —recommande→ transformation organisationnelle (CONCEPT, 0.95)
- Centrage utilisateur —améliore→ impact positif mesuré (CONCEPT, 0.88)
- Architecture faiblement couplée —améliore→ gains de productivité (CONCEPT, 0.85)

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Canonical: https://www.thekb.eu/en/fiches/dora-report-2025-ai-software-dev-2025-09-23/