Agenda

AI is everywhere in game development conversations, but far less visible in real, shipped production. Most studios don't fail because the tools aren't powerful enough. They fail because the surrounding realities are ignored.
This talk cuts through the hype to examine the unsexy truth of adopting AI in day-to-day game development: how it fits (or doesn't) into existing workflows, who owns it once the experiment ends, how context and compliance shape outcomes, and why culture often matters more than capability. Drawing on real production experience across live projects and distributed teams, the session explores where AI initiatives typically stall, the hidden costs studios underestimate, and what actually enables AI to deliver sustained value without disrupting creative flow or production stability. This is a practical, experience-led look at AI as it really exists inside studios today and not as it's pitched.

Takeaway

Attendees learn why AI pilots rarely survive contact with production, how to identify friction before it derails teams, and what practical conditions allow AI to support real development work without increasing risk, overhead, or creative disruption.

Intended Audience

This session is for studio leaders, producers, technical leads, and developers navigating AI adoption in active production environments. It assumes experience with modern game development pipelines but does not require machine-learning expertise.