What is there to learn? If anything developers are still the one's training and enhancing the models by giving them more feedback cycles and what works and what doesn't.
I'm encouraging my folks to try it pretty hard because A) I've personally seen the productivity gains and B) using it is at first deeply weird/uncomfortable. Sometimes you've got to convince people to push through that kind of thing.
They measured 16 developers and called it a "study"? That is amusing. Not to mention it was conducted almost a year ago, the tools have already changed dramatically.
So just run a new study this year. I do think the tools have improved, but it should show up empirically. The only people for whom the urgency of "right now" is present is for the C-suite and investor class who are fighting to make sure they survive, but it might also be a crisis of their own making. Don't confuse your identity as a worker with the identity of the capitalist class.
I think my employer should buy me a laptop and possibly a monitor or two to help my productivity because I subjectively feel they'd be helpful, and I have the market power to insist on tools that I subjectively feel are helpful. If my CEO announced that monitors are super important and everyone will be tracked on monitor space usage going forwards, I would still want to see evidence that this is going to accomplish something.
> It's like "A study found that parachutes were no more effective than empty backpacks at protecting jumpers from aircraft."
Are you under the impression that we don't bother to empirically prove things that seem obvious, like the safety benefits of parachutes? You don't think parachute manufacturers test their designs and quantify their performance?