Lenny's Podcast: Product | Career | Growth

Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone

July 19, 2026

AI Summary

5 min read

When a child is born, Salman Rushdie is said to have observed, they first ask for food and water and protection, and then they ask for a story. Elizabeth Stone, Netflix’s Chief Product and Technology Officer, reaches for that quote to explain why she believes humans will remain at the center of entertainment even as AI transforms how it is made. Stone returned to Lenny’s Podcast two and a half years after her first appearance, and the conversation tracked the distance the industry has traveled since then. Where machine learning was once a quiet infrastructure layer, generative AI has become a visible force reshaping roles, workflows, and the very definition of what it means to build.

The storming phase of roles

Stone is direct about the confusion AI has injected into product and tech teams. “Everyone can be everything now,” she says. “PMs can ship code, designers can write PRDs, engineers can product, and there’s this confusion and frustration of what is my job anymore.” She sees this as a natural storming phase that follows any transformative technology. The answer is not to put AI back in the box, but to become more thoughtful about how to get the benefits while reducing the costs.

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What you'll learn

1 (00:01) **Everyone can be everything now** - The storming phase of AI is blurring traditional roles (PMs coding, designers writing PRDs), causing confusion about job responsibilities
2 (03:44) **How roles have actually changed in 2.5 years** - Product, design, and data science can now go further in the development lifecycle before engineering is needed
3 (11:57) **Will we still need separate functions?** - Elizabeth argues craft excellence and deep specialization remain scarce and valuable
4 (13:43) **What Netflix is hiring more of: systems thinkers** - AI demands more people who can abstract across domains and build common infrastructure
5 (17:22) **Why systems thinking is becoming more urgent** - Velocity plus risk from AI requires encoded guardrails and paved paths
6 (22:08) **What's trending down: narrow deep specialization** - Fewer specialists, more generalists who can adapt across functions and layers of the stack
7 (25:10) **How to develop systems thinking** - A small trick: for each problem, step out one click and question your assumptions about the broader space

+ Full timestamped outline available in the app

Show Notes

Elizabeth Stone is the Chief Product and Technology Officer (CPTO) at Netflix, where she oversees Engineering, Product, and Design. Since her first appearance on the podcast two years ago—which remained my second-most-popular episode for more than a year—she has expanded her role to lead product, in addition to engineering. Before Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at Nuna, an economist at Analysis Group, and a trader at Merrill Lynch.

In our in-depth conversation, we discuss:

1. Why “systems thinking” is now the most important skill she looks for

2. How to manage the flood of AI-generated output without losing quality or signal

3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill

4. What “excellence as an operating system” means

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Episode transcript: https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future

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