That's a false dichotomy. Language models will always confidently give you answers, right or wrong. Most humans will know if they know the answer or not, they can do research to find correct information, and they can go find someone else with more expertise when they are lacking.

And this is my biggest issue with the AI mania right now -- the models don't actually understand the difference between correct or incorrect. They don't actually have a conceptual model of the world in which we live, just a model of word patterns. They're auto complete on steroids which will happily spit out endless amounts of garbage. Once we let these monsters lose with full trust in their output, we're going to start seeing some really catastrophic results. Imagine your insurance company replaces thier claims adjuster with this, or chain stores put them in charge of hiring and firing. We're driving a speeding train right towards a cliff and so many of us are chanting "go faster!"

Meaning, in your office, at least 1 out 5 will see and understand the imminent disaster and put this on halt, before this becomes an overwhelming catastrophe. The LLM, on the other hand, will confidently insist on everything being fine. Now consider your odds on having an office to go to, in a few months. (Mind that this is systemic issue.)

LLMs might be better than random people at random tasks, and certainly memorised more trivia. But I never heard of a LLM surpassing subject experts in their field. On top, even the simplest task is unreliable - say, summarisation or translation. There is almost zero autonomy or ability to recover from unexpected situations.