Akshay Nathan
Head of Core Product Engineering, OpenAI. On 1 show, 1 appearance. The Shows tab opens the full record on each.
engineerfounderoperator@akshaynathan_ ↗LinkedIn ↗
Before joining OpenAI, Akshay Nathan co-founded automated testing startup walrus.ai, which was acquired by Airtable in 2021. At OpenAI, he leads core product engineering for productivity, focusing on ChatGPT Work and AI agent harnesses.
1shows
1appearances
19statements
1resolved
1supported
0contradicted
100%fully supported
Everything Akshay Nathan said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Nathan: Untapped enterprise agent market is 10x to 100x larger
“So now like we're seeing with agents, like there is Probably a contingent of like early adopters still who, you know, truly get it. We're like, you know, you can do anything. You just have to make sure the right context is there. It's connected to the right to…”
Nathan: OpenAI Finance Team Replaced Slide Decks and Spreadsheets with Sites
“I was actually talking to someone the other day who was on like our corporate finance team and like they're mentioning how like now when they have these reports that they're working on as a team month to month, historically those things were in, in slide decks…”
Nathan: OpenAI sequencing agents from developers to knowledge workers to everyone
“The vision is like bring useful agents to everyone. We started with like developers Historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, you know, Codex started. I think the next oppor…”
Akshay Nathan: Software creation bottleneck has shifted to ideas and taste
“I think the bottleneck some becomes like sort of like ideas and taste, I guess. I think because anyone can build now, I think it really is the era of like bottoms up ambition. And because there's so much to be built, like you're always going to be bottlenecked…”
Nathan: Traditional software productivity proxies are falling apart in AI era
“I think with AI now, those proxies starting to fall apart, like, you know, and the number of tokens you use or the number of pull requests you make are like no longer like maybe as hyper correlated with that. Is your team able to hit the goal or are they on tr…”
Nathan: Open-ended AI chat interfaces confuse enterprise users without guided use cases
“Using these models and these products, you have this box and you can say anything to it, which is the magic, but it's on the flip side. It also means that, like, you don't know what to do with it, and in enterprise, I think a big part of that is, like, actuall…”
Nathan: AI models are experiencing another step-function capability jump
“The models were getting infinitely more capable. That's happening again. I think it's like another step function jump now.”
Nathan: I would never write a performance review solely via AI
“I would never write something via, like, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context.”
Nathan: OpenAI plans to keep developing Codex specifically for developers
“Like, I think we fully intend to like, you know, treat developer, like developers have been, you know, a core market for us for so long. And like, there's so much more that we can do to make Codex great specifically for software development, and we'll continue…”
Nathan: ChatGPT Work will not completely replace open-source OpenClaw
“I don't think so. I think that there's going to be, you know, there's always a need for, like, this, like, incredible, like, open source technology that, that team has built”
Nathan: Sub-agents and tool calling significantly raise MCP execution ceiling
“It's very possible that there's a, the ceiling on what can be done, you know, with MCPs and like calling out to these server-friendly services has been raised substantially.”
Nathan: OpenAI limits sub-agent UI visibility to prevent user overwhelm
“There's another, you know, iteration of this where like you can see exactly what they're doing and things like that, which I think is like, you know, could verge on like overwhelming with information. And so this is like the deliberate trade-off that we've mad…”
Akshay Nathan: AI will make tech workers into T-shaped generalists
“My suspicion is that there's everything, everyone will be, like, T-shaped in a way, and that, like, AI will enable everyone to become a generalist. Like, you know, things that, like, I never would be able to, like, come up with a design before, and, like, even…”
Nathan: AI tooling makes motion easier, risking conflation with true progress
“I think maybe the trap is like conflating motion and progress. I think motion is much easier now than ever before because of the tooling that we have, but progress requires you to be like very prescriptive and deliberate about like what you're actually trying …”
Nathan: OpenAI saw an inflection in Codex adoption among non-developers
“When we release codex or even internally add codex. Like it was really surprising to us. I think we recently put out some stats on this, but there was this like real inflection of like adoption among non-developers at OpenAI.”
Nathan: Codex and ChatGPT Work share the same underlying agent harness
“So the harness is the same. The harness is shared. On, In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plugins or computer use or artifacts. You get that power regardless of what your…”
Nathan: Artifact quality improved dramatically over GPT-5.4 and GPT-5.5
“One of the big, like, pushes that we made for this launch was, like, artifacts, right? Like, both on the model side, like, I think if you compare this with 5.5 and 5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of the…”
Nathan: OpenAI built its model slider fully within a site artifact
“Even the model slider that you guys were referencing earlier, like that was developed almost fully in a site. Like, you know, the collaboration between design and engineering and product on that was like on a site where we play with, you know, the affordance a…”
One line per show, most statements first. The link opens Akshay's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 LATENT SPACELEDGER | Head of Core Product Engineering, OpenAI | 1 | 19 | 100% 1/1 | full record on Latent Space → |