AI is Changing How Netflix Operates

We need more systems thinkers in a world with AI. In our core infrastructure team at Netflix in central engineering, a lot of what made Netflix successful over time was that local teams with specific business problems could move fast to deliver. They very often were not feeling like they needed to be on a central paved path. They built the stack that they needed to solve the problem and have the impact. In a world of AI with agents operating across multiple systems, wanting source of truth data, the importance of having preferred paved paths that get the most of the benefits and produce some guardrails so we can make sure we're doing good work. Common infrastructure, common paved paths, solving problems once with a core set of capabilities becomes more important. So we are hiring more people who can look across all the business domains and abstract that to here's the building blocks we're gonna need in a world with AI. So that's one of the lenses, but also just with a lens of what's got Netflix here doesn't get Netflix there. And we're gonna have to have a stronger set of infrastructure to move quickly in this future.