It will also make a lot of simple machine-learning models obsolete. It's just not that obvious yet.

Imagine feeding a query akin to the one below to GPT4 (expected to have a 50,000-token context), and then, to GPT5, GPT6, etc.:

  query = f"The guidelines for approving or denying a loan are: {guidelines}.
            Here are sample application that were approved: {sample_approvals}.
            Here are sample applications that were denied: {sample_denials}.
            Please approve or deny the following loans: {loan_applications}.
            Write a short note explaining your decision for every application."

  decisions = LLM(query)

Whether you like it or not, this kind of use of LLMs looks almost inevitable, because it will give nontechnical execs something they have always wanted: the ability to "read and understand" the machine's "reasoning." They machine will give them what they have always wanted: an explanation in plain English.