Sarah Guo
Founder + General Partner, Conviction (VC) · Co-host, No Priors podcast (with Elad Gil)
aka Sarah
“I would actually argue that it's very interesting that we had at least 10 years where in many engineering tasks people just, they didn't feel compute bound. Right. And the entire industry feels that now they feel like they felt resource bound. And now that you have this big capability jump, you're like, oh, actually it's not my ability to access the compute anymore. I'm the binding constraint.”
“We have a team that we work with at conviction that their setup is. Everybody is like, you know, none of the engineers write code by hand and they're all microphone and they just like whisper to their agents all the time. It's this the strangest work setting ever. And I thought they were crazy, and now I fully accept. I was like, oh, this was the way. You're just ahead of it.”
“If you want to make the price of nuclear competitive as baseload power then you need to convince people it's safe”
“Well, if you just work backwards from a data center full of GPUs, cooling, powering, training and inference so we can support the use cases, all of those inputs, it actually looks a great deal like energy independence or something like that.”
“When we think about the components that we've invested in, we've invested in the labor gap for data centers and robotics. We've invested in nuclear energy. We've invested in alternative chip architectures.”
Sarah Guo
One-line summary: Conviction VC founder and No Priors co-host. Tracked here for first-person observations on AI-coding-agent adoption inside Conviction's portfolio (March 2026: her engineers 'don't write code by hand', whisper to agents) and for the framing questions she puts to frontier-AI practitioners on capability state.
What they're known for
Brief factual context — fill in.
Why they matter to artificial-intelligence
Conviction GP who interviews the people building the stack; tracked here for first-person observations on agent adoption and for how she frames compute, energy, and chip-architecture constraints.
Why they matter to stock-market
Nuclear-as-baseload and "work backwards from a GPU data center" framing attaches to nuclear-baseload-for-ai-data-centers / us-fab-capacity-bottleneck. Color, not a net-new AI-infrastructure chain. Person page reused from the AI thread (project/stock-market tag appended 2026-09-01).
Said
Speaker-attributed claims extracted from diarized sources. Each bullet mirrors one entry in quotes: frontmatter — keep them in sync.
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On ai-coding-productivity-paradox:
"I would actually argue that it's very interesting that we had at least 10 years where in many engineering tasks people just, they didn't feel compute bound. Right. And the entire industry feels that now they feel like they felt resource bound. And now that you have this big capability jump, you're like, oh, actually it's not my ability to access the compute anymore. I'm the binding constraint." — 2026-03-20-no-priors-andrej-karpathy-skill-issue-code-agents (2026-03-20)
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On ai-coding-productivity-paradox, ai-coding-tool-landscape-2026:
"We have a team that we work with at conviction that their setup is. Everybody is like, you know, none of the engineers write code by hand and they're all microphone and they just like whisper to their agents all the time. It's this the strangest work setting ever. And I thought they were crazy, and now I fully accept. I was like, oh, this was the way. You're just ahead of it." — 2026-03-20-no-priors-andrej-karpathy-skill-issue-code-agents (2026-03-20)
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On nuclear-baseload-for-ai-data-centers:
"If you want to make the price of nuclear competitive as baseload power then you need to convince people it's safe" — 2026-09-01-podcast-invest-like-the-best-sarah-guo-what-the-250-people-building-ai-believe (2026-09-01)
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On nuclear-baseload-for-ai-data-centers, us-fab-capacity-bottleneck:
"Well, if you just work backwards from a data center full of GPUs, cooling, powering, training and inference so we can support the use cases, all of those inputs, it actually looks a great deal like energy independence or something like that." — 2026-09-01-podcast-invest-like-the-best-sarah-guo-what-the-250-people-building-ai-believe (2026-09-01)
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On nuclear-baseload-for-ai-data-centers:
"When we think about the components that we've invested in, we've invested in the labor gap for data centers and robotics. We've invested in nuclear energy. We've invested in alternative chip architectures." — 2026-09-01-podcast-invest-like-the-best-sarah-guo-what-the-250-people-building-ai-believe (2026-09-01)
Sources
- 2026-03-20-no-priors-andrej-karpathy-skill-issue-code-agents
- 2026-09-01-podcast-invest-like-the-best-sarah-guo-what-the-250-people-building-ai-believe
Related
Cross-links — fill in.