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I drew parallels to Big Data in the early days. Another marketing hype term.
In most of our minds, I think we saw Big data for the most part was just marketing discovering that parallel processing, unified query language, and scale-up/scale-out on demand was possible with ever-decreasing costs of storage, memory, and compute.
Supported by the hyperconverged salespeople, as if tiered storage offload was somehow new.
I had a heated debate with board a decade or so ago that “we already do this”, but it didn’t have the shiny new sticker on it, so they tripled the operating cost for the same output
I see ‘AI’ the same way. Most users don’t want a large language model, they want small language models, machine learning, or basic automation.
I reckon if you stuck ‘chat bot’ in front of some IF/THEN statements, 99.999% of users wouldn’t know or care.
You can’t sell that as visionary I suppose. I have a personal conspiracy theory that as compute demands plateaued chip makers and cloud providers piggybacked a little known technology that seemed like magic to the uninitiated.