I regularly use GPT-4 for things like "write exhaustive unit tests for the following function" and it gives fantastic results. They usually need fleshed out a little, sure, but in a few seconds I get something that would have take about $45 in billable human hours.
I personally cannot wait to see the productivity gains that come from GPT-5.
> I personally cannot wait...
My point exactly.
You can get red in the face at AI the disembodied futurist concept all you want, but the tools are the real deal - people are using image generation and chatbots today to be 50%+ more productive and produce better work. These tools require skill to use, they're not just plug-n-play, but that skill pays huge dividends, and if you don't learn it you're going to be left so far behind.
I don't think we have evidence to support that.
So can we know which are which, and what are the relative value adds of these task groups? Where does an overall cost benefit analysis land, bearing in mind the high costs of AI.