this post was submitted on 16 Feb 2026
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[โ€“] SootySootySoot@hexbear.net 9 points 20 hours ago* (last edited 20 hours ago) (1 children)

Also, "seeing a financial return" is not equivalent to "using AI was a good idea". There are multiple companies I've interacted with that e.g. use AI as their support tool and cut their 'real' support team hugely. And it's so furiously useless that I quickly hate the company because it can't support shit.

A lot of these companies who are seeing a financial return today, will quickly see that go away as their business stagnates/shrinks from offering a shittier service. And a lot of those that don't will be companies that can just get away with infinite enshittification and externalising their costs (eg natural monopolies, stuff people need to live, etc), thus making all of life worse even if their line goes up.

From what I've heard is that this is the same ol story as with any other tech bandwagon for the past 15 years, be it block chain, big data, predictive algorithms, etc. I saw this cycle first hand when I was working on tech projects:

Company execs see at some conference that this is the new big thing and that their business is going to fail if they get in on the ground floor. Then some sales reps from a big corporate tech company (SAP, Oracle, Google, MS) talks them into spending huge amounts of money on all the bells and whistles before even figuring out how to implement the tech in their company. Finally, the consultants come and in the best case scenario, there's a very specific use case for the tech within the company, and it saves/makes quite a bit of money, in the worst case, it's a botched implementation that causes more pain than it solves. Either way, the modest pay-offs are not nearly enough to pay off everything that was spent on the initial investment. Rinse and repeat.