Elizabeth Stone
Chief Product and Technology Officer at Netflix, previously VP of Science at Lyft and an economist at Analysis Group.
Elizabeth Stone did not write this page. What is this?
It collects the places they publish and what they have said there, each linked to the source. They have no account here. Is this you? Claim it, correct it, or ask us to remove it from ppll.
Where they publish
No channels checked yet. We list a place only once someone has opened it and confirmed it is theirs, so this stays empty rather than guessing.
Beliefs
Korrents What they believe 20 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
The confusion about who does what is a storming phase every transformative technology causes, and AI is in the middle of it.
I think anytime a new technology comes along, especially one that's as transformative as GenAI, you go through a storming phase before you go through the forming phase of things. And I think we are in the middle of that right now.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
That AI lets anyone prototype does not mean everyone should be shipping code to production.
Do I believe that means anyone should be shipping code to production? That everyone should actually be doing everything? Probably not. But I think that it's good for people to be exploring what's possible.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Craft excellence within each discipline is not going away, however much AI blurs the work across functional lines.
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.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Show 17 more
The rising hire in an AI world is the systems thinker who can look across every business domain and name the building blocks, not the local domain expert.
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 going to need in a world with AI.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
What made Netflix fast — local teams building whatever stack they needed — stops working once agents operate across systems; common paved paths now matter more.
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.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Once non-designers can build products, a design team’s job becomes templates and design systems — otherwise the company ships Frankensteins.
I get really nervous about having different design languages or different types of user interactions and shipping Frankensteins, basically. So, designers need to then be the people we're hiring again for design systems thinking.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Deep design expertise does not get squeezed out just because code and analysis got faster.
But I think it would be a mistake to say design and deep design expertise and thinking gets squeezed out just because we can write code faster. We can do data analysis faster.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Compared with five or ten years ago a company needs fewer narrow specialists and more people who are adaptable in several directions.
But as a general rule, uh compared to 5 or 10 years ago, I I would believe we have fewer specialists and more people who are generalists or adaptable in multiple directions.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Writing AI expectations into each rung of a career ladder is futile when the technology changes by the month; one AI-fluency expectation across every role and level is what works.
So, the most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency, which doesn't mean use it as a tech for the sake of tech. It's tech where it's useful, to have good judgment about that, and to have the mindset to be open-minded to explore and try new things.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Candidates should be allowed to use AI tools in a coding interview, because that is what the work now requires.
And even for things like coding interviews, allowing candidates, of course, to use AI tools because that's going to be part of what the work requires now.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Netflix’s cultural rules were never ends in themselves: agency, accountability and pushing decisions deep into the organisation are the mechanism by which you get excellence.
It was instead a very strongly held opinion that that you get to excellence by giving people a lot of agency and accountability. By pushing decisions as deep in the organization as possible, hiring great people who can be trusted to have good judgment and make good decisions.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Talent density is the non-negotiable first ingredient — without it you cannot trust decisions made at every level or let people take risks.
Well, the talent density is the non-negotiable. Like you have to start with that. If you don't have that, you can't get to a place where you have confidence in decision-making at all levels of the organization, allowing people to take risks and innovate quickly.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Adding process when things go badly is the instinct to resist: every time we added more process we spent more time without getting better outcomes.
Or the perfect way to go through feedback and leveling and compensation. But every time we saw that and we added more process, we spent more time without getting better outcomes.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Netflix is not losing the talent war to the frontier AI labs; it competes for a different person — one excited by applying technology to entertainment at scale.
It does feel like we have to be more more explicit about the types of people and talent that tend to thrive at Netflix versus other companies like some of the frontier labs.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Junior hiring matters more in an AI world, not less, because younger people are more open-minded and more native to the new ways of working.
So, even in a world of AI where some things are easier, we were talking earlier about mindset, AI fluency. From my experience, younger folks are more open-minded. They tend to be more native in some of these new ways of working.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Writing lines of Python or C++ may stop being necessary; understanding how code, computer systems and products work will not.
I think there's a difference between being able to write lines of code in a particular language like Python or C++ and understanding how code, computer systems, products work. And I don't think the latter is going away.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
The code today’s models and agents write is very hard to follow: you get better performance without knowing why, and no way to fix it when it breaks.
So looking at some of the code that some of these models or agents are writing they're very hard to follow. It's like I know I'm getting better performance from this but I have no idea why and if this thing breaks I'm going to have no idea how to fix it.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
The AI shock to engineering is an acceleration of a change that has been running for decades, not a break from it.
It feels like it's a it's an acceleration of how much engineering has changed. But if you looked over the last 10 years or 20 years you would say the same thing.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Netflix’s position on AI in production is creator enablement rather than prescription — flexibility in the tools, not one approved way to make something.
Which means we need to have a flexibility in the tools that we provide and the types of partnerships we have, and to really have a creator enablement view rather than a prescriptive that we only do this one way.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
Entertainment without humans at the heart of it does not work: storytelling is a scarce human skill, and characters without that humanity are less compelling.
I have a hard time picturing entertainment that doesn't have humans at the heart of it. So that that's humans in the creation of the storytelling, which I think is a scarce and valuable skill.
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO) Said 19 Jul 2026
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.