No Priors: Artificial Intelligence | Technology | Startups
00:14:33 · swyx, Satya Nadella
[00:14:33] S2: That is that is the platform promise that you build with us. You will get your intelligence for your data. [00:14:39] S0: That's right. That to to me, that is the like, if there was one tagline for this entire developer conference is, can everybody operate at the frontier with their frontier intelligence? Right? To me, that is so important because otherwise, I don't know how you achieve stable equilibrium, right? Which is how do I then go and say, well, my company is going to have a terminal value because I now know how to continuously compound on top of what's a platform that gets better. Right? So when, like, Windows obviously came out, Adobe built, Autodesk built, or even, like, take what Jensen said. We built DX and he built, you know, CUDA on top of it. Right? I mean, I always say to Jensen, god, I got the shorn head of that. Right? I wish we had recognized it. But, nevertheless, but that idea that you can build a platform layer that someone else can then extend out and build their own intelligence layer in this case, I think, is everything. Right? Without it, why have a developer conference? I can just come and have you all sort of just worship at the altar of one model. Yeah. But that's not a developer conference. [00:15:50] S2: Backstage, we you had a discussion about what is IP or what is the the value in a company. It used to be the length of human experience at a company, and now it's this other thing, which is the evals, the experience in sort of applying agents to the company. He I just want you to, like, flesh it out a bit, Marcus.
00:16:07 · Satya Nadella, swyx
[00:16:07] S0: Yeah. It's a great way to frame it. Right? Because, yep, at the end of the day, every company is gonna have both the human capital that is still gonna be super valuable because humans and their ability to find the gaps that exist at all times is going to be the way we all will create value. Right. I mean, so I'm definitely in the camp that this is going to be about expressing new forms of human agency and ambition, even as token capital goes up. Right. So let's say any corporation has lots of tokens and a lot of human capital. The question is, how do you compound the two? So if you have a like, if you take in teams, I have a bunch of agents doing work and a bunch of humans doing work and the traces between those, that is really important context of how that enterprise is creating value. Then that goes back to train not a generalist model, but to taint train the company veteran agent. Right? That is super valuable again, which is when a company goes and says, it should in fact go on to the balance sheet is how I think about it. Right? That's fact, they may be like, human capital was never possible to go put on a balance sheet because you didn't know how to capture the tacit knowledge. Whereas now, I think you can with the agents that have learned through the through time, through all the traces. So that's what at least we think will happen. [00:17:31] S2: I think the SEC is gonna have to have accounting standards for token expertise.
00:17:31 · swyx, Sarah Guo, Satya Nadella
[00:17:31] S2: I think the SEC is gonna have to have accounting standards for token expertise. [00:17:37] S1: You're talking about the equilibrium state and a stable equilibrium where companies have this compounding value and can see terminal value for themselves. Another challenge to, you know, the considered equilibrium of, okay, there are applications and workflows that are sort of common to a vertical or a horizontal. And this was like the generation of SaaS companies. And, you know, Microsoft has lots of SaaS properties as well. Then And there are things that are very specific to every enterprise that they're differentiated against. I'm sure you have heard much and participated in much of the debate about the end of software because all these workflows are cheap to generate now. Do you think the equilibrium looks different between what agents get built in enterprises versus in their vendors in the future? [00:18:23] S0: Yeah. So I think what's happening there is, see, we we had a particular way we captured, I would say, workflow in apps, right? Because we built a data model, right? We schematized some part of some business process. We then built a bunch of business logic. Yep. And then we put a bunch of UI on top of it. So that's kind of what every SaaS company- [00:18:47] S1: And a little configuration. [00:18:48] S2: For like twenty years, that
00:18:48 · swyx, Satya Nadella, Sarah Guo
[00:18:48] S2: For like twenty years, that [00:18:49] S0: was- Right. And that was it. So interestingly enough, now you kind of get to relitigate that vertical stacking, right? So I still think, for example, that data model that you build underneath every SaaS application is super good, right? Like, why reinvent it? My general ledger better be a general ledger. I don't need new schema creation. In fact, that entity relationship is actually pretty good, robust thing that I want to feed. [00:19:18] S1: And you want it to be stable.
00:19:19 · Satya Nadella
[00:19:19] S0: That's right. Yeah. Then same thing with business logic. Right? If if you look at we have this product called Power BI. Right? It is like dashboards galore people created. The beauty underneath that dashboard is a very rich semantic model, right? Someone took the pain to create a dashboard and do all the measures. And you want that? That's business logic, right? I want that to be available to me. So I think the challenge of the SaaS business model is we packaged one way. We now have to learn how to unbundle these things and rebundle in new ways and discover new business models, right? I mean, if you look at it, what's happening today with Microsoft March is a great example. Right? We have this thing called WorkIQ. In fact, what we are realizing is, oh my god, like, if you look at it, in fact, there's a historical parallel to it, right? We sold first Exchange and SharePoint. And, you know, before Teams, we had a thing called Link Server and what have you. And we thought, oh, that's all gonna move to the cloud. But little did we realize that the number of people who will use servers in the cloud is 10x, 100x, right? Because people were not buying servers, they were just buying a subscription. The same thing is now happening with M365 because with WorkIQ, we have exposed what is perhaps the most important database in a company that never got used as a database because it is only captive to our apps, right? Was all email operated on it, Teams operated on it, Word, Excel, PowerPoint, SharePoint. But now, like, this is one of the coolest things I get to do with WorkIQ. I go to a GitHub repo and I say, hey, I attended a bunch of design meetings last week related to this repo. Can you capture all that and tell me what changes I should make? I mean, think about that, right? It literally can go look at all those transcripts, come back with a plan to change your code base. Right? Previously, you could never have thought of using M365 for something like that. So the value creation opportunity now in the agent world is, in fact, 10x more. But it does require us to have, for example, there's going to be usage around M365, right? Which is going to be perhaps more than even the end users. And we have to even rearchitect. Like, in fact, what I use to serve an inbox or a mailbox cannot be used to serve an agent. And so that's sort of what we are doing.
00:21:47 · Sarah Guo, Satya Nadella
[00:21:47] S1: I don't believe in, like, permanent business models for any of these domains. But in the near term, do you have a prediction between, you know, outcomes based pricing, token based pricing, enterprise bundles? [00:22:00] S0: Yeah. The way I think about this is always we've had like, let's even take the per user price. [00:22:06] S1: Mhmm.