Building the world’s largest stage in the age of AI

Twenty years ago, creating and broadcasting a TV show required a million-dollar budget, a satellite truck, and a studio full of gatekeepers. Then YouTube democratized the studio – removing the friction of physical distribution so anyone with a story could reach a global audience. Today, AI is doing the exact same thing for software creation. But this rapid shift has sparked a quiet anxiety across product and engineering teams: If AI generates the code, drafts the specs, and synthesizes the data, what is left for us?

In this practical and empathetic session, YouTube Engineering Manager Leonard Giura unpacks why AI isn’t replacing product leaders – it’s liberating them from operational toil. Drawing from YouTube’s high-scale product development environment and translating those insights into lightweight frameworks for teams of any size, this talk reframes the human role from execution gatekeeper to strategic curator.

You’ll get a behind-the-scenes look at how YouTube integrates AI across the core PM-Eng-UX workflow, how a culture of continuous experimentation sharpens human intuition, and how to lead your team through the cultural transition into AI-augmented work without fear.

Key Takeaways:
– Toil vs. Intuition (Powered by Experimentation): How to delegate high-volume pattern recognition (data processing, boilerplate code, feedback clustering) to AI while building true product intuition through a culture of hypothesis-led testing and real user data.
– AI in Action Across PM, Eng, and UX: Concrete examples of modern workflows for each discipline – alongside actionable solutions to overcome the unique bottlenecks of AI-generated spec bloat, unscalable code, and „averaged“ user empathy.
– Leading the Human Transition: Practical leadership strategies to reduce AI anxiety within your engineering and product teams, build psychological safety, and shift how you measure success from raw coding output to system design and strategic decision-making.