Elizabeth Stone

speaker

598 appearances 1 recordings 1 series first heard Jul 2026 last heard 19 Jul

Elizabeth Stone’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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

So ML and AI were deeply used in a lot of the production tools.

We've used them to think about how to create promotional assets at scale, how to localize in subtitles and dubs.

So GenAI is a big step function in where the impact can be in creative ideation.

We call those things like pre-visualization or basically bringing a creator's vision to life before you even get into the, you bring people to a set and start to actually go through the production itself.

There's lots of use cases in post-production.

So we recently acquired a company, Interpositive, that was started by Ben Affleck that built a set of models and capabilities that allow you, after you've shot something, to relight, reframe, reshoot, change dialogue in ways that are very impactful to get higher quality content, are still led by the filmmaker or creator saying, you know what, I would like to try something else to bring this vision to life.

But that impact is extremely promising and we're seeing lots of productions leverage different tools, some of them built in house, some of them that we enable through other vendors for those content creation use cases.

And then as we think about how content comes to the product, I mentioned localization, subtitles and dubs, but also how we create high quality trailers, images, artwork at scale that then we can use to help make sure that titles find their audiences around the world.

Those all are huge levers when we think about the AI impact.

So that again goes well beyond prototyping or coding.

to some of the creative use cases.

And you can imagine that just like they work for studio productions for film and TV, they work for advertising, they work for marketing, off-service campaigns.

And so those are all areas that we're exploring.

I mean, you said it on my behalf.

Often when there's questions about how is Netflix thinking about AI, it's great to remind people of exactly that point, that this is not new to us, that especially for personalization, it's been central to delivering a great experience to members.

It's impossible to take

the breadth of content that we have.

There's ever more content.

That's one of the challenges we face and make discovery easier and easier and easier, which is one of the challenges that Netflix has.

And using AI and ML has been a way to do that.

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