← Elizabeth Stone

What podcasts say about Elizabeth Stone

Every statement, with the speaker, the exact quote and the moment it was said.

What Elizabeth Stone has said on podcasts

35 statements · 24 positive · 5 negative · 2 mixed · 4 neutral

  1. Generative AI is currently creating organizational role confusion at Netflix.

    “we are in the middle of that right now”

    Listen at 4:00

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  2. Organizations should continue using AI despite disruption to established roles.

    “I don't think that means we should put AI back into the box and say, let's not use it”

    Listen at 4:03

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  3. AI access does not mean everyone should ship production code or perform every function.

    “Do I believe that means anyone should be shipping code to production? That everyone should actually be doing everything? Probably not”

    Listen at 4:32

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  4. Employees should explore AI capabilities through experimentation.

    “it's good for people to be exploring what's possible”

    Listen at 4:42

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  5. AI will not make functional expertise obsolete.

    “I don't think it makes the functional expertise obsolete”

    Listen at 5:13

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  6. Humans remain accountable for outcomes produced with AI assistance.

    “the importance of reiterating that humans are still responsible for what happens”

    Listen at 5:57

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  7. AI lets PMs, designers, and data scientists progress farther before engineering involvement.

    “PMs, designers, data scientists are able to get farther in the product development life cycle before engineering really needs to be front of the line”

    Listen at 8:19

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  8. AI can analyze broad information sets and distill them into useful insights.

    “AI is very powerful at distilling information, looking across a broad set of things, doing an analysis around it”

    Listen at 9:53

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  9. AI-generated analysis is useful as a starting point but should not be used exclusively.

    “I would hesitate to rely on that Exclusively. But I think it's a head start”

    Listen at 10:04

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  10. Professional disciplines retain distinct comparative strengths despite AI-enabled fluidity.

    “I still see comparative strengths”

    Listen at 11:16

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  11. Craft excellence in professional disciplines will remain important for the foreseeable future.

    “I still see a craft excellence that's really important in the disciplines that I don't think is going away anytime soon”

    Listen at 12:26

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  12. High-quality engineering, data science, and creativity remain scarce.

    “I still find great engineering to be scarce, great data science to be scarce, great creativity to be scarce”

    Listen at 13:14

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  13. AI-era organizations need more systems thinkers.

    “We need more systems thinkers in a world with AI”

    Listen at 13:52

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  14. Organizations cannot scale AI work by relying on each builder to discover standards independently.

    “I don't think it scales well to have each person who's building something have to go figure out, could you remind me what good looks like here and what are the bumpers or guardrails I should keep in mind”

    Listen at 18:35

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  15. Organizations should encode quality, security, and data guidance into standard workflows.

    “I think we need to encode that in our paved paths and our ways of working”

    Listen at 18:45

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  16. Netflix expects many AI agents to contribute to organizational work.

    “we will have so many agents that are contributing to doing work”

    Listen at 19:41

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  17. Future Netflix work will be performed jointly by humans and AI agents.

    “the work will be done by both humans and agents”

    Listen at 19:59

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  18. Faster coding will not eliminate the need for deep design expertise.

    “it would be a mistake to say design and deep design expertise and thinking gets squeezed out”

    Listen at 21:32

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  19. Netflix will favor fewer narrow specialists and more adaptable generalists.

    “we have fewer specialists and more people who are generalists or adaptable in multiple directions”

    Listen at 23:07

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  20. Netflix should expect AI fluency across roles rather than define it by level.

    “The most useful thing is not to make it level specific or role specific, but to encourage everyone towards the expectation on AI fluency”

    Listen at 29:57

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  21. AI and machine learning have long been central to Netflix personalization.

    “this is not new to us”

    Listen at 35:59

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  22. Netflix personalization becomes more important as its entertainment catalog broadens.

    “Personalization becomes even more important”

    Listen at 36:36

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  23. High talent density is essential to Netflix's operating model.

    “The talent density is the non negotiable”

    Listen at 41:51

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  24. Netflix prioritizes rapid recovery over avoiding all failures.

    “We don't try to avoid failures, we try to recover quickly when we have them”

    Listen at 42:12

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  25. Adding process to difficult planning problems can increase effort without improving outcomes.

    “every time we saw that and we added more process, we spent more time without getting better outcomes”

    Listen at 44:51

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  26. Trusting employees to learn from failures improves long-term outcomes.

    “When you are trusting people to take those reflections and learn and grow, I think you get much better outcomes over time”

    Listen at 46:19

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  27. Netflix continues hiring junior employees as an important talent strategy.

    “We are still hiring junior people and they're really important to our talent strategy”

    Listen at 53:39

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  28. AI does not reduce the importance of professional craft mastery.

    “mastery of the craft is still very important”

    Listen at 55:02

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  29. Understanding software systems will remain necessary even if AI writes code.

    “understanding how code computer systems, products work. And I don't think the latter is going away”

    Listen at 56:50

    Open the episode · Netflix CPTO on AI and the future of product and tech roles | Elizabeth Stone
  30. Engineering will evolve toward fluency with AI-generated code and agents.

    “engineering, over time will evolve to be comfortable with that and have fluency in it”

    Listen at 58:35

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

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.