I think the tech industry is overestimating its value. Because it can code they think it can do anything else, but unlike code a lot of other work can't have a bunch of little bugs and mistakes because you can't open up real life and edit it after the fact. Plus it lacks actual reasoning to solve novel problems.
Hiring an engineer to finetooth comb blueprints for mistakes before construction will take nearly as much time as having an engineer draft them themselves. And they will be smart enough to not do something silly like putting the electrical panel on the back of the shower wall. If you just vibecode some blueprints and start construction without the comb you could lose way more than you saved with something as simple as pouring a support pillar or building a wall 2 inches off and having to tear it out later and rebuild.
Definitely. The secret will be identifying use cases where AI usage is a potential upside with limited downside, not the current blanket statements about replacing all jobs without considering lifetime ROI. There’s a lot of boring work AI can automate with minimal risk. There’s also the potential to decrease risk with AI too, including ensembles of different AIs modals and AI + human.
I think also, just seeing non-technical friends and family interact with it, there’s a lot of massaging you have to do right now to get it to work that just goes over their heads. Until they gets pushed behind an abstraction layer I see adoption crawling at a certain point.
The success of AI doesn't hinge on whether you can vibecode it all or even one particular sector really well. For example, despite several attempts to make vibecoding PCBs, it's still pretty crap. But it's really useful as a copilot, human in the loop for targeted tasks in electronics. Same for CAD work, not so good at drawing but still useful at looking at an image, understanding it, and answering specific questions.
Whether the value attached to these companies is grounded in reality is a different question.