This is a common opinion, but when I speak to small companies that want to use NLP (e.g. in the medical domain) and I give an account of the advantages and disa

This is a common opinion, but when I speak to small companies that want to use NLP (e.g. in the medical domain) and I give an account of the advantages and disadvantages of "classic" NLP vs. generative LLMs for information extraction applications, they tend to prefer classic NLP more often than not. The possibility of models making things up combined with zero explainability, together with high costs (or using third-party services and having to upload sensitive data who knows where) are red flags for many. This may change in a few years if the weaknesses of generative LLMs are successfully addressed, but for the moment I think "classic" NLP still has its place.