We were initially excited by AI at my company, but after we used it a bit we didnt find any really meaningful use cases for it in our business model. And in most cases we spent a lot of time correcting its many errors which would actually slow down our processes...

Marx tapping the big sign marked "Tendency of the rate of profit is to fall", but then looking at the already unprofitable AI spin-offs and just throwing his hands up in disgust.

I think there's an argument to be made that the AI hype got a bunch of early adopters, but failed to entice more traditional mainstream clients. But the idea that we just ran out of new AI users in... barely two years? No. Nobody is really paying for this shit in a meaningful way. Not at the Enterprise Application scale of subscriptions. That's why Microsoft is consistently losing money (on the scale of billions) on its OpenAI investment.

If people were adopting AI like they'd adopted the latest Windows OS, these firms would be seeing a steady growth in the pool of users that would signal profitability soon (if not already). But the estimates they're throwing out - one billion AI adoptions in barely a year - are entirely predicated on how many people just kinda popped in, looked at the web interface, and lost interest.

It would also slow if companies were told insane lies about the capability of "AI" ("it's living having a team of PHD level experts at your disposal!") and then companies realized that many of these promises were total bullshit.