Why humans are AI’s biggest bottleneck (and what’s coming in 2026) | Alexander Embiricos (OpenAI Codex Product Lead)
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What is Codex and how does it work as a software‑engineering teammate?
Do lead work on Codex. Codex is OpenEI's coding agent. We think of Codex as just the beginning of a software engineering teammate. It's a bit like this really smart intern that refuses to read Slack, doesn't check data dog unless you ask it to. I remember Carpot that he tweeted
the gnarliest bugs that he runs into, that he just spends hours trying to figure out nothing else to solve. He gives it to Codex, lets it run for an hour, and it solves it.
Starting to see glimpses of the future where we're actually starting to have Codex be on call for its own training. Codex writes a lot of the code that helps like manage its training run, the key infrastructure. And so we have a Codex Code Review is like catching a lot of mistakes. It's actually caught some like pretty interesting configuration mistakes. One of the most mind-blowing examples of acceleration is the Sora Android app, like a fully new app. We built it in 18 days, and then 10 days later, so 28 days total, we went to the pump market. How do you think you win? In the space. One of our major goals with Codex is to get to proactivity. If we're gonna build a super assistant, it has to be able to do things.
One of the learnings over the past year is that for models to do stuff, they are much more effective when they can use a computer. It turns out the best way for models to use computers is simply to write code. And so we're kind of getting to this idea where if you want to build any agent, maybe you should be building a coding agent. When you think about progress on codecs, I imagine you have a bunch of evals and there's all these public benchmarks. A few of us are like constantly. On Reddit. You know, there's a there's praise up there and there's a lot of complaints. What we can do as a product team just try to always think about how are we building a tool so that it feels like we're maximally accelerating people rather than building a tool that makes it more unclear what you should do as the human.
Being at OpenAI, I can't not ask about how far you think we are from AGI. The current underappreciated limiting factor is literally human typing speed or human multitasking speed.
Today, my guest is Alexander Embirikos, product lead for Codex, OpenAI's incredibly popular and powerful coding agent. In the words of Nick Turley, head of ChatGPT and former podcast guest, Alex is one of my all-time favorite humans I've ever worked with, and bringing him and his company into OpenAI ended up being one of the best decisions we've ever made. Similarly, Kevin Wheel, OpenAI's CPO, said Alex is simply the best. In our conversation, we talked About what it's truly like to build product at OpenAI, how Codex allowed the Sora team to ship the Sora app, which became the number one app in the App Store in under one month, also the 20x growth Codex is seeing right now and what they did to make it so good at coding, why his team is now focused on making it easier to review code, not just write code, his AGI timelines, his thoughts on when AI agents will actually be really useful, and so much more, a huge
Thank you to Ed Bayes, Nick Turley, and Dennis Yang for suggesting topics for this conversation. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. And if you become an annual subscriber of my newsletter, you get a year free of 19 incredible products, including a year free of Devin, Lovable, Repli, Bolt, NADM, Linear, Superhuman, D Script, Whisperflow, Gamma, Perplexity, Warp, Granola, Magic Patterns, Ray Cash, Chap PRD, Mob, and Post. Tog and Stripe Atlas. Head on over to Lenny's Newsletter.com and click Product Pass. With that, I bring you Alexander Embiricos after a short word from our sponsors. Here's a puzzle for you. What do OpenAI, Cursor, Perplexity, Vercel, Platt, and hundreds of other winning companies have in common?
The answer is they're all powered by today's sponsor, WorkOS. If you're building software for enterprises, you've probably felt the pain of integrating single sign-on, skim, RBAC, audit logs, and other features required by big customers.
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Chapters
8 chapters
1
What is Codex and how does it work as a software‑engineering teammate?
0:00–12:46
2
How did OpenAI achieve the 20× growth of Codex since its launch?
12:46–24:14
3
What product decisions and team structures unlocked Codex’s rapid acceleration?
24:14–34:47
4
How did the Codex‑powered Sora Android app get built in just 18 days?
34:47–44:05
5
Why is the real bottleneck to AI‑augmented productivity human typing speed?
44:05–53:51
6
How is Codex shifting the bottleneck from writing code to reviewing AI‑generated code?
53:51–1:04:11
7
What are the future visions for AI agents as proactive teammates beyond coding?
1:04:11–1:14:38
8
What advice does Alexander give to engineers and product people wanting to adopt Codex?
1:14:38–1:25:09
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