I am very impressed by the underlying GPT3.5 LLM and the capabilities that alignment via RLHF has unlocked in LLM, but I don't believe any serious NLP researchers or practitioners think that NLP is solved.

There are still tonnes of challenges and limitations that needs to be solved before this tech is ready. E.g The very convincing hallucinations, failure on simple math problems, and second order reasoning tasks amongst others. And many other areas that remains unresolved in NLP as well.

Having been in the NLP field for close to 10 years and having experienced several other developments and paradigm shifts in the past (RNN/LSTM, Attention, Transformer Models, LLMs with emergent capabilities) , I am more optimistic than fearful of this development's impact on our job.

Each of these past developments made obsolete certain expertise, but also expanded the problem space that NLP can tackle. The net effect however has been consistently positive with the amount of money and demand for NLP expertise increasing.