Nick Turley
Head of ChatGPT, OpenAI · Former Head of Product, Instacart
“The thing that's already come first is the domain specific agents. If you look at what's happening in code, we're fully there. It's mind bending, but we've got so many engineers who don't open their IDE like ever. And for me, as someone who used to code and then unfortunately got very, very busy, it's brought me back in the game. So Codex and products like it is clearly a product that has escape velocity where people are absolutely using it for all kinds of agentic work. I won't be surprised if you see this happen for other forms of quantitative knowledge work just because it happens to have the properties that code has. It's testable, you know, if it worked or not. It's very RL friendly.”
“We've got about 10% of the world coming to us now, 90% left to go. There's so much more opportunity to reach more people and introduce them to the way that AI can benefit them. We care about two things — reaching more people, and going deeper — taking the same billion users that find value in ChatGPT today and actually providing more meaningful value in the world, actually helping them achieve their goals, not just answering questions.”
“There are two concepts. There's ChatGPT doing stuff rather than just answering and then as ChatGPT being proactive. And when you put them together, you start feeling like it feels like a super assistant because these things compound. On the action taking piece, strictly speaking, ChatGPT can do stuff today the action space is just very limited. When I look at past attempts that we've made, like the ChatGPT agent, for example, which kind of has capabilities like this, it was just slightly too early. The models weren't quite good enough to hit real escape velocity. And the problem is, if you don't have escape velocity, is that users don't learn to trust it. I do think we're about to get to that point with general purpose agents where it works well enough that you get at least partial credit. And because you're getting partial credit, you get really good tasks back. And then the magic begins.”
“GPUs are zero sum and if you don't have more GPUs, you really have to figure out how do you make very, very hard trades. But it's useful to start with the most zero sum trade off when you do your planning. So starting working backwards from GPUs is usually pretty good idea. Demand keeps going up even as prices go down. Token consumption per user, especially in the enterprise too, which is a massive opportunity, you see a lot of very GPU hungry workflows.”
“There's no world in which pricing doesn't significantly evolve when the technology is changing this quickly. It's possible that in the current era, having unlimited plan is like having an unlimited electricity plan. It just doesn't make sense because people may need a lot, a lot of electricity and they're getting a lot of value out of that. There's a reason you can't buy that.”
“Code Reds are a tool we use to create focus. End of Last year we had one of those moments where we felt like we need to show up for our users. We need to focus on the basics like reliability, performance, the way that talking to the model feels, making personalization really great. We just exited the Code Red with the launch of 5.3, which is a great model for the everyday user, and 5.4, which is workhorse if you're trying to do real knowledge work.”
“I think the most important perma skill in this era is curiosity, because if the machine can answer all your questions, you better have good questions. And the only way to have good questions, I think, is to pursue the things you were actually excited about from an early age and throughout your entire life.”
“Watching people walking around with their computer open because they don't want the task to end, watching people who have never coded in their life make stuff and bring ideas to life, that feels like an AGI moment.”
Nick Turley
One-line summary: Head of ChatGPT at OpenAI; joined OpenAI ~3.5 years ago after time at Instacart and Dropbox. Tracked here as the highest-ranking ChatGPT product voice in the wiki: super-assistant vision, retention-as-north-star framing, GPU-as-zero-sum-constraint, Mar 2026 corroboration of the late-2025 coding-agent capability inflection ('mind-bending — engineers who don't open their IDE like ever').
What they're known for
Brief factual context — fill in.
Why they matter to artificial-intelligence
Why this person's claims are tracked here — fill in.
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, ai-coding-agent-asymmetry-on-novel-code, chatgpt-super-assistant-vision:
"The thing that's already come first is the domain specific agents. If you look at what's happening in code, we're fully there. It's mind bending, but we've got so many engineers who don't open their IDE like ever. And for me, as someone who used to code and then unfortunately got very, very busy, it's brought me back in the game. So Codex and products like it is clearly a product that has escape velocity where people are absolutely using it for all kinds of agentic work. I won't be surprised if you see this happen for other forms of quantitative knowledge work just because it happens to have the properties that code has. It's testable, you know, if it worked or not. It's very RL friendly." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On chatgpt-super-assistant-vision:
"We've got about 10% of the world coming to us now, 90% left to go. There's so much more opportunity to reach more people and introduce them to the way that AI can benefit them. We care about two things — reaching more people, and going deeper — taking the same billion users that find value in ChatGPT today and actually providing more meaningful value in the world, actually helping them achieve their goals, not just answering questions." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On chatgpt-super-assistant-vision, agi-timeline-decade-of-agents:
"There are two concepts. There's ChatGPT doing stuff rather than just answering and then as ChatGPT being proactive. And when you put them together, you start feeling like it feels like a super assistant because these things compound. On the action taking piece, strictly speaking, ChatGPT can do stuff today the action space is just very limited. When I look at past attempts that we've made, like the ChatGPT agent, for example, which kind of has capabilities like this, it was just slightly too early. The models weren't quite good enough to hit real escape velocity. And the problem is, if you don't have escape velocity, is that users don't learn to trust it. I do think we're about to get to that point with general purpose agents where it works well enough that you get at least partial credit. And because you're getting partial credit, you get really good tasks back. And then the magic begins." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On gpu-as-zero-sum-constraint:
"GPUs are zero sum and if you don't have more GPUs, you really have to figure out how do you make very, very hard trades. But it's useful to start with the most zero sum trade off when you do your planning. So starting working backwards from GPUs is usually pretty good idea. Demand keeps going up even as prices go down. Token consumption per user, especially in the enterprise too, which is a massive opportunity, you see a lot of very GPU hungry workflows." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On chatgpt-super-assistant-vision, gpu-as-zero-sum-constraint:
"There's no world in which pricing doesn't significantly evolve when the technology is changing this quickly. It's possible that in the current era, having unlimited plan is like having an unlimited electricity plan. It just doesn't make sense because people may need a lot, a lot of electricity and they're getting a lot of value out of that. There's a reason you can't buy that." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On chatgpt-super-assistant-vision:
"Code Reds are a tool we use to create focus. End of Last year we had one of those moments where we felt like we need to show up for our users. We need to focus on the basics like reliability, performance, the way that talking to the model feels, making personalization really great. We just exited the Code Red with the launch of 5.3, which is a great model for the everyday user, and 5.4, which is workhorse if you're trying to do real knowledge work." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On (no topic linked):
"I think the most important perma skill in this era is curiosity, because if the machine can answer all your questions, you better have good questions. And the only way to have good questions, I think, is to pursue the things you were actually excited about from an early age and throughout your entire life." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
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On agi-timeline-decade-of-agents, ai-coding-productivity-paradox:
"Watching people walking around with their computer open because they don't want the task to end, watching people who have never coded in their life make stuff and bring ideas to life, that feels like an AGI moment." — 2026-03-15-bg2-chatgpt-super-assistant-era (2026-03-15)
Sources
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