Is AI making your team faster, or just accelerating the chaos?
In 2026, AI adoption has become nearly universal, with 90% of professionals using it daily. However, the latest research from Google Cloud’s DORA team reveals an uncomfortable truth: AI is an amplifier, not a magic bullet. It maximizes the strengths of high-performing organizations but exacerbates the dysfunctions of struggling ones—a phenomenon we call the "Mirror Effect."
In this talk, we move beyond the "individual productivity" hype to explore the systemic impact of AI on software delivery. Drawing on data from nearly 5,000 professionals, we will analyze why AI boosts throughput but can also increase software instability if not backed by proper governance.

By comparing real-world case studies, we will uncover:

- The DORA AI Capabilities Model: The 7 technical and cultural practices (from User-centricity to Internal Platforms) essential for turning AI into a competitive advantage.
- Measuring "AI Readiness": How to evaluate your organization using a practical Governance Score tool.
- A 5-Stage Transformation Roadmap: Moving from tool-based adoption to a governed, sustainable model.