I think this is probably true for most skilled professions. AI is best used in the hands of folks already knowledgeable in the skills/professions they are using it for.
I liken it to me googling things as a sysadmin vs. Jane from accounting doing it. The non-tech end user is far more likely to make the problem worse, or install something sketchy from the ad riddled results than I am, or one of my help desk employees are.
I wouldn't trust myself to draft an important legal document using AI without the advice of a lawyer, much like I wouldn't really want to rely on my lawyer to use AI to write code for me.
> I wouldn't really want to rely on my lawyer to use AI to write code for me.
Yet that is exactly what a lot of C-Suiters (many of whom are lawyers), are doing.
im not so sure
i think devs overestimate their own role and underestimate others
i am seeing lawyers and doctors roll out their own software with AI
but we dont have their training and experience
It's like that in engineering, for sure. My background is in aerospace and there are lots of things that a reasonably technically-inclined random can probably do passably. It takes an engineer to know which tasks those are, though.
I would imagine it's similar in law, in that it takes a lawyer or judge to know where the foot guns lie.
I find those that are best and make the greatest use are the ones who remain skeptical but also use the tool. The same people who were already nuanced and picky before AI. The same people who already doubted and questioned their own work, and used that suspicion to help prevent them from having over confidence in their own work. If you weren't willing to just "lgtm" with your own code, it's difficult to do that with AI.
(To be clear, I'm not saying perfectionists. Some might call them that because the picky people have higher standards, but a good expert has to also understand that perfection doesn't exist. That's often a driving force in the suspicion! This also tends to cause them to continually improve)