[mgh95]

> It's quite possible that any one new AI tool is wrong, but it is unlikely all of them are. A great historical analogies are the adoption of PCs in the 80s and the adoption of the internet/web in the 90s. Not everything we tried back then was an improvement on existing technologies or processes but in general if you weren't experimenting across a broad swath of your business you were going to get left behind.

There is a difference between experimentation and mandated usage, however. In the former, you typically see "shadow IT" attempt to access useful tools outside the bounds of what is considered acceptable, as compared to mandated usage. This indicates a greater willingness to adopt.

There is also a difference between a technology replicating an existing functionality in a new medium (email vs usps) and introduction of a new technology. In the former, there is clear market demand, and only a matter of redirecting existing demand to new tools. In the latter, it is unclear if the technology will be useful.

I don't think that just because LLMs are a new technology which use computing makes them the internet and I don't think it's accurate to analyze them through the lens you propose.