How early are we?

How big can AI really get? The argument that everyone is making of course is that low hanging fruits, not the best way to describe human beings, but the people who are early adopters and likely to adopt AI, probably already use a combination of a GPT and a Claude, probably. So the question is, how then do you educate the next two to three billion? When I look at the distribution so far, it's basically all just been virality of the hype for the products, you know? There's not really been a conceit, like a really, I don't know, concerted or dedicated marketing campaign that I can see that has really been focused on just increasing the share of users. So, with that in mind and both on the consumer and enterprise sides, I don't see why we don't get to where we are at today. You said, you said one point, you said 1.2, 1.2. 1.2. 1.2. We are at one today. A year from now, August 2027. I think we're at least 1.6. Yeah. I think we're at least 1.6. Yeah, that's 60% of what they have now. Yeah. That feels about right to me. When I, when I think of the effort that will go into the, the acquisition of new users, or the education that will go into the acquisition of new users, when I think about, you know, the free tier and that most of the people actually just don't pay for it at all, around 95% don't pay for, you know, a GPT or an AI product at all, the accessibility, I don't see why not. You know, they've shown that they can do distribution pretty organically, putting a little bit of effort into it, putting a little bit of spending to it, that feels, that feels, you know, penetrable for me.