

Yeah, I think one of the reasons the AI bubble hasn’t popped yet is because it’s being weaponized to remove consumer hardware from the market entirely. These companies want as much processing done on the cloud as possible so that they can control, monitor and mine data from every user.

I think that a lot of the issue behind AI is profit motive. If that was removed from the equation, AI could be a really useful tool for development. But the fact that the main usecase at every company is “go faster so line goes up” gets in the way of that.
The other issue is efficiency. Burning down a rainforest to make a stupid banking app isn’t very appealing to me. But if we could work to make generative AI more efficient at what it does, and transition to consumer ownership of compute/hardware, it might be more feasible. That’s a long ways off, and I don’t think the powers that be want that future.
I use AI every day at work. We built an entire orchestration framework on top of Claude Code. It features skills that can pull in a jira ticket with well defined acceptance criteria and complete it without very much human intervention at all. We’ve built out entire epics and our QA team has not seen an uptick in defects. This is because we all still do manual code reviews in addition to AI reviews. We even have a skill that checks AC against the PR diff to make sure we’re meeting AC before it gets to QA. AI does make our team more efficient.
But at what cost? None of us are learning anything about coding. I feel more burnt out than I ever have. It’s an environment nightmare. It is a moral/ethical nightmare. Finally, none of us are seeing any additional compensation for improving efficiency. That compensation is going to Anthropic.
There is a world where AI can be a net benefit to the world, but it isn’t our current one.
TL;DR I basically agree lol