Greg Brockman, OpenAI’s co-founder and president, explains the thinking behind always-on AI assistants in this WSJ Tech conversation with Keach Hagey. He describes a phishing email his Dot flagged, the economics of cheaper models, OpenAI’s growing enterprise business, and his approach to cybersecurity. The discussion closes with his vision for everyday AI over the next five years.
00:00 An assistant catches a phishing email
00:27 The always-on assistant
01:43 What cheaper intelligence changes
03:32 Lower prices, more usage
04:33 Getting businesses to adopt AI
06:18 The changing revenue mix
07...
What Greg Brockman said
Written from the verified transcript and checked against it. Every figure links to the moment it was said.
Greg Brockman, OpenAI's co-founder and president, discussed the company's strategy of building the best AI first and then making it cheaper. He cited an 80% price cut on Luna that led to a more than 10x increase in volume, and noted that for a fixed level of intelligence, OpenAI historically achieves 10x to 100x price cuts year over year. He said enterprise revenue has grown from 30% to a majority share, and announced a new partnership with JPMorgan Chase using Codex and cyber models. On security, he argued that AI can give defenders an advantage, calling it the 'defender's window,' and that the industry has 40 years of tech debt. Looking five years ahead, he predicted AI would be as ubiquitous as electricity, changing how people interact with computers.
Key takeaways
OpenAI cut Luna's price by 80% this year, leading to more than 10x volume growth.
For a fixed level of intelligence, OpenAI historically achieves 10x to 100x price cuts year over year.
Enterprise revenue has grown from 30% to a majority of OpenAI's revenue.
OpenAI has papered a partnership with JPMorgan Chase for Codex and cyber models.
Brockman predicts AI will be as essential as electricity within five years.
0:41What are the economics of something like that?
3:43So it sounds like we can expect more price cuts, is that right?
4:45What do you know about selling to enterprise now that you didn't know a year ago?
6:32So what is your enterprise market share now? Any news on that front?
7:52If companies now have to spend, though, vastly more on cyber to defend against this threat that AI has unleashed, haven't you just sort of traded enterprise productivity for an endless cyber arms race? How do you square that?
9:50So, looking five years out, how do you expect the AI landscape to have changed?
Like even for example, yesterday my Dot flagged me a phishing email. It was actually a very well done phishing email. I never would have realized what it was. And my Dot just had been sort of reading through my email and was like, this looks so sketch because of this mismatch in the domain. And I was like, that's right. And that's what you want. You want an AI that's there looking out for you, even in ways you never would have anticipated.
Greg Brockman is OpenAI's co-founder and president. Speaking with Keach Hagey at WSJ Tech, he describes an assistant that keeps working between conversations. That creates a bigger computing bill. Hagey asks how the business can support it.
So you've been getting a lot of buzz with these always on products like Dots. People like it, but it seems very expensive to have some model that's on all the time. What are the economics of something like that?
So I think this, first of all, is something that all of the players in the industry are kind of encountering now. My philosophy is that first we should focus on the peak experience, right? Even if it's so expensive, just like the most transformative, you have the highest compute model that's always working for you with all of the different modalities turned on, all of those things. If it's expensive and inaccessible to most people, it's still worth building. But you don't stop there. Then the next step is you say, okay, we'll make a more affordable version that's more accessible that you can scale out to others. But even that first one, by the way, I think there's incredible PMF. I think there's incredible demand that we're seeing for this like AI always on, always working for you. And it just does all these surprising things.
Brockman's plan starts with an ambitious product and then brings its costs down. He connects that approach to repeated efficiency gains in the underlying models. Customers can choose between inexpensive, high-volume work and the most capable systems.
Well, look, I would look at, I mean, to me, just at a qualitative sense. If you look at what's really going on in these models, is that we have been able to make these incredible efficiency gains very repeatedly year after year. For example, we dropped the price of Luna 80%, like an 80% price cut this year. And I think that our historical average has been that for a fixed level of intelligence, we probably do a 10x or even sometimes almost 100x price cut year over year on it. And I think that you can look at that from two ways. One is that you can just keep some of that margin, and the other is you can just say that these models, you can get such incredible efficiencies. And so my view of where we're headed is a world where the frontier models, and you can just see this even for looking at open router stats and these other publicly available ones, is all of the dollars basically go to the frontier models. And then you have these lower margin but extremely high token count models in the form of things like Luna. And I think that the margins, basically people are almost price insensitive, sometimes to an irrational degree on the frontier models. People just like, give me the best thing. And I think it also shows you how much value these are delivering for customers, certainly in many industries, that if you give them the smartest possible model that they can make incredible revenues out of that. And so you almost can tune your margins almost arbitrarily there. And so to me, I think that the opportunity and the engine and the pace of progress, all of that is coming together in a way that I think that you'll just continue to see these numbers skyrocket.
Hagey follows up on price cuts. Brockman says one reduction brought a much larger increase in usage. His example shows why a lower price can still be attractive to the company selling the service.
So we have seen OpenAI gain ground on Anthropic really because of some of these price cuts, right? So it sounds like we can expect more price cuts, is that right?
Well, look, I think that the way, like if you just look at the ethos of what we do, like we believe this is technology that can lift up everyone. We want to try to put this into everyone's hands and we want to empower, transform every enterprise. And you can see that in our technology, you can see that in the products, and you can see it in our pricing. And what we found is that, for example, when we did that 80% price cut on Luna, I think that the volume grew like more than 10 times or something crazy now. And so you actually do the math, it actually ends up being pretty favorable. And so I think that we are in a world where competition is resulting in the customer really winning, which is really fantastic in my books.
The next part of that strategy depends on customers putting the technology to work. Brockman describes the conversations OpenAI has with businesses and the relationships it needs to build as those customers change their operations.
Brockman, G. (2026, November 5). OpenAI’s Greg Brockman: Build the Best AI, Then Make It Cheaper [Interview transcript]. AI Signal. CEOInterviews.AI. https://ceointerviews.ai/interview/3197890/
MLA
Greg Brockman. "OpenAI’s Greg Brockman: Build the Best AI, Then Make It Cheaper." AI Signal, 5 Nov. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3197890/.
BibTeX
@misc{brockman2026_3197890,
author = {Greg Brockman},
title = {OpenAI’s Greg Brockman: Build the Best AI, Then Make It Cheaper},
howpublished = {Interview transcript, AI Signal. CEOInterviews.AI},
year = {2026},
month = {nov},
url = {https://ceointerviews.ai/interview/3197890/},
note = {Speaker-attributed transcript with timestamps}
}