When I was working for a large defense contractor, we tested rolling out AI tools for our developers.
The deployment numbers looked great: 52% increase for junior devs, 32% for mid-level, and 12% for senior engineers.
But we spent more than 80% of our time fixing bugs in deployed code(support burden). This has only gotten worse as people trust AI more, not less.
So when I see people like Rohit Agnihotri pitching charts saying we need less humans in the loop, or Chris Hughes peddling this narrative when he should know better, it tells me "expert" doesn't mean what it used to.
This is dangerous advice from people who shouldn't be positioning themselves as experts. Having a title doesn't mean you understand what happens in production where mistakes have real consequences.
If someone is telling you to reduce human oversight because AI is maturing, they don't understand the problem.
Do your own testing. Trust your own data. Be careful whose advice you're betting your systems on.
