Bill Canady explains why AI companies are struggling to keep users engaged beyond the initial hype. The real problem: token costs are so high that companies are restricting even their own employees from using the service, and the financial pressure to scale is crushing margins.
Getting people, even if it's, you know, you provide them this great application, the, the, it's the still, am I going to use it tomorrow? Like, this was cool today. Am I going to use it tomorrow and then the next day and get real value from it?
Mm-hmm. How do you, how do you drive that? So how do you deal with the, uh, founder, you know, creating it in the evening, the people not adopting it? It ages out, it breaks. So how are you doing? Because this stuff is moving fast today. There's real money going into it. You can burn tokens like crazy. I was looking at the Journal the other day, and, and the AI companies are starting to limit their own employees from burning tokens. You know, I think it's all Meta was, was that they laid off a billion. I'm exaggerating, of course.
