Jeremy Burton

AI is changing how software is built and operated, from generating and reviewing code to testing, deployment and reliability. But the impact is uneven and introduces new risks. This panel brings CTOs together to examine how the software lifecycle is actually evolving. Where does AI meaningfully accelerate delivery and where does it create new bottlenecks? How do CI/CD, debugging and incident response change when AI generates code? Expect candid perspectives on what’s working, where it breaks down and how engineering leaders should adapt. This session is being conducted under Chatham House Rules. To foster an open and candid discussion, participants are expected to treat all information shared during the session as confidential. Information, comments, viewpoints, and materials discussed may not be referenced, disclosed, attributed, distributed, or shared outside of this session without the express permission of the organizers and participants.

AI is moving from experimentation to real-world deployment, and the challenges shift fast at scale. This session brings together engineering leaders to explore what it takes to operationalize AI in production. Expect a range of insights drawn from building and scaling complex platforms, and what those lessons mean for AI today.

AI isn’t just changing how software gets built, it’s reshaping how teams are structured and led. This session explores how engineering organizations adapt in an AI-driven world, from team design and ownership models to the evolving role of leadership. As workflows shift and the boundaries of the engineering role become less defined, leaders are rethinking how to align teams, measure effectiveness and guide organizations through uncertainty.