The real problem for the large scale implementation of LLMs is: Even at the current, heavily subsidized pricing they do cost more than an average worker for low-impact tasks while having a worse failure rate. And while an LLM might cost a bit less in comparison to workers for high-impact tasks requiring specific education (which will not be true if AI corpos want to become cashflow positive), in this area you cannot accept hallucinations and misinformation at all because of the damage caused.

Outsourcing works because the jobs that were outsourced cost less, while still having a "human" error rate and type of failure (blatantly lying is a rare thing. They might sometimes get things wrong, but they are not actively misinforming). But here all bets are off - you can't trust these things to handle things on their own, you always need someone to watch over them (and qualified to identify mistakes to boot!), which drives cost even more.