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Elizabeth Stone: evaluation

19 Jul 2026 Lenny's Podcast Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)

“We're solving the right problems in a way that is best for Netflix members or business stakeholders. And that if I talk to an engineer, a data scientist, a designer, yes, they speak more languages now than they used to because they have the benefit of these AI tools, but there's still something that is not replaceable when I think about the craft and how they think about what good looks like.”

— Elizabeth Stone

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Speaker
Elizabeth Stone
Attribution
Verified speaker
Claim type
evaluation
Recorded
19 Jul 2026
Publisher
Lenny's Podcast

Transcript context

…There's so much interesting stuff here. One is this last point you made, something I've been thinking about. If we all become builders, will we still need separate functions? There's this member of technical staff trend that is happening across AI, where it's like, all right, we don't have a title. You could be anything. You don't have to be in a bucket. What you're saying here is you believe we will continue to have specialties, product person, engineer, data science, designer. While they do more of other functions, there's still a lot of value, and tell me if I'm hearing you correct, in having this specific discipline and skill and background. I still see a craft excellence that's really important in the disciplines that I don't think is going away anytime soon, even if there's fluidity or blurring of the work across the functional lines. It goes back to what I mentioned earlier of you still have humans who have to make sure that what we're doing makes sense. We're solving the right problems in a way that is best for Netflix members or business stakeholders. And that if I talk to an engineer, a data scientist, a designer, yes, they speak more languages now than they used to because they have the benefit of these AI tools, but there's still something that is not replaceable when I think about the craft and how they think about what good looks like. And that feels true across all levels. And I still find great engineering to be scarce, great data science to be scarce, great creativity to be scarce. So, yes, some things are easier, but that hasn't dissolved in my mind. Are there functions that you are finding you are hiring more of, like the pie chart pie expanding, say for engineering or PM or design or something, and then functions you're need less of with AI tooling and LLMs rising?…

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