Alex Embiricos

speaker

1,288 appearances 2 recordings 2 series first heard Feb 2026 last heard 21 Feb

Alex Embiricos’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 2.

Appearances

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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 20VC: Codex vs Claude Code vs Cursor: Who Wins, Who Loses | Will All Coding Be Automated - Do We Need PMs | The Real Bottleneck to AGI | The Three Phases of Agents and What You Need to Know with Alex Embiricos, Head of Codex at OpenAI · 21 Feb 2026 podcast

So basically here are the three phases in my mind.

First, let's have agents work really well for software engineering and coding because LLMs happen to be good at that.

Next, let's realize that for an agent to be useful more generally, using a computer is super valuable and also we'll realize that all agents are actually coding agents because coding is just the best way for an agent to use a computer.

So let's take that same super flexible idea, but make it available to anyone who's excited to explore and tinker.

And we're already seeing people start to do this with like the Codex app.

Like Codex app is built for builders, but we're seeing builders use it for all sorts of non-coding tasks.

Then finally, once we see what's working, let's build that productization that you were talking about, where you have highly specific features that just work immediately out of the box for people.

And I think we're going to speed run this entire like one, two, three journey in the next months.

I think you're right.

If you're trying to go like all the way from zero to one and you have this like, and I said, I don't mean grand negatively here, but if you have like a grand vision for some like ultimate workflow automation system, then yeah, you're going to have to clear through all of these security hurdles, all these like compliance hurdles that are really real, right?

Build connections to all these data systems and like systems of record and action.

Yeah.

So you're going to need an FDD to do that.

What I've seen is that when we do these things top down, we end up like massively under leveraging the potential of AI and like helping that come

Whereas you can maybe do that in parallel, right?

But if you can just give AI to the people like actually doing the work, they can start to like get a mental model for how AI can help.

And then they can start pulling AI into their workflows at the same time.

Here's just like an analogy or something here is like, imagine if you work in like a customer support role and AI is being brought into your role and starting to automate like meaningful chunks of your work, but you've never heard of ChatGPT, nor are you allowed to use it.

So in that scenario, you have like no intuition for what this thing is.

Whereas in a world where actually you've been using ChatGPT for work at the same time as like parts of your work are getting automated by an LLM,

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