The point is that given the current valuations, being good at a bunch of narrow use cases is just not good enough. It needs to be able to replace humans in every role where the primary output is text or speech to meet expectations.
Yup. Not to mention, we don't even have time to figure out how to effectively work with one generation of models, before the next generation of models get released and rises the bar. If development stopped right now, I'd still expect LLMs to get better for years, as people slowly figure out how to use them well.