I think there’s some truth to that. The reality is most companies are implementing AI badly. It’s not actually solving anything and feels more like a checkbox on a feature matrix. Bolt on a chatbot and the job’s done.

Here’s a perfect example. Square recently rolled out “managerbot”. I was like “oh, cool” because I actually wanted something like that. I asked it a few questions about the data in my system, most of which it couldn’t answer. On top of that, it was as slow as molasses. I could pull the report and get the information myself faster than that bot could do anything. Square isn’t the only one. Salesforce, Microsoft, Google, etc. They are all guilty of it.

Personally, I like using AI tools, but I’m experiencing the marketing fatigue too. Developers are putting it into everything, doing it badly and then pitching it as a central feature.

I guess it’s the natural cycle of things though. We are somewhere around the peak hype -> disillusionment part of the cycle.

AI tech is neutral - some good, some bad, and the bad is oversold compared to other industries. (Most people have no idea how incredibly ecologically destructive paper + print are.)

But the tech was captured and adopted by marketing-think and corporate opportunism. And that's the real problem.

Both were toxic plagues before AI. And as an amplification technology, AI has enabled them to unprecedented levels of fail.