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№1:

Some companies hire a small number of LLM (AI) experts / specialists. (That small number could be just one person.)

Often they want their company to be transformed to use LLM (AI) effectively.

Often they expect the company's productivity, effectiveness, etc to be multiplied.

For example, a 3× gain. Or, a 10× gain. Or, whatever.

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№2:

Some companies keep (and even increase their staff) as a reaction to feeling that they have effectively adopted LLM (AI).

They see the productivity gains (whether 3×, 10×, or whatever) not only as a way of going faster, but also as a way of competing better.

I think there may also a bit of a "red queen" dynamic here. I.e., if one company keeps all their staff and uses LLM (AI), then all of their competitors feel they have to, too, just to keep up.

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№3:

Some companies use LLM (AI) as an excuse to fire people.

I.e., the company already wanted to fire/lay-off a bunch of people.

But, were hesitant to do so, due to how others might react. Mostly worried others would think they (the company) are in trouble — which might cause their stock price to drop, or other staff to feel they need to leave a sinking ship, or a customers to leave, or deals to not go through, etc.

I.e., LLM (AI) is just a "cover".

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