The Fortune 500's roughly $2 trillion in annual collective profit is the ceiling enterprises can draw from to pay for AI, and OpenAI plus Anthropic alone could hit a $200 billion revenue run rate by year-end, already representing about 10% of that profit pool.

2:43500 or the S&P 500, they're actually pretty close. Um it's they generate like 2 trillion of profit per year at the collective. >> Um and I wouldn't be surprised if the combination of those two companies is doing 200 billion of revenue run rate by the end of this year. >> Yeah. >> Not to mention people using open source, other vendors, so like you can add even more on top of that. So, we're already

3:09talking about like a 10% profit, you know, into the Fortune 500. And so, I think the upper bound is going to be where the dollars going to come from. And one of the implications, you know, like to buy this stuff. Like and um you know, one of the implications of this is we had all these theories why open source and local were going to be really important.

3:31And it turns out that like cost is going to hit us in the face and make them really important sooner than we thought. So, scale we've updated our priors to to get, you know, really pilled on this on this outcome thing, on the on the size of the prize, um and the scale. Um and you can see the early signs of it in the numbers. But basically

3:53almost no diffusion into the real economy. It's going to get great for all these other functions. By the way, what's happened in coding, you can kind of start to see it in some other white-collar jobs. So, like it's starting to happen in legal. Um, you know, the legal space is is you know, much smaller obviously than coding. Um, but you know, when the models get really good and the products

4:10that get built around them get really good, you see this takeoff in usage happening and I think it's going to happen in a bunch of different functions in organizations and verticals uh over the next 12 months. >> And how much of that do you think's going to be native kind of AI applications? Cuz I kind of always go back to Chris Dixon's point around like the first three or four years you kind

4:27of see these skeuomorphic applications that kind of come in. And and you know, we've we've seen that at the at the minute, you know, most people are using AI to do their existing job in a way that's more efficient, faster, you know, cheaper. Um, but we're kind of starting to see some of the native applications come in with the you know, particularly around the generative AI. How how do you think that