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Ask HN: AI Depression

11•pavello•1h ago
Hi,

Throw-away account because my original one is easily identifiable.

Does any starts to feel depressed about AI push and hype? I'm around ~45 and have been happily hacking and delivering stuff for 25 years.

I use AI daily — it's a useful tool. But the gap between the marketing and reality for many of us is hard to describe. The people and corporations and all those LinkedIn gurus, podcasters declaring our obsolescence are overwhelmingly people who've never built or maintained anything complex in their lives. I'm sick of posts showing developers as awesome managers orchestrating fleets of Codex and Claude Code instances — I don't know a single person who actually has access to unlimited quotas for that. I'm now scared to publish open source because some random AI agent might spam my repo with garbage PRs and issues. Are we really expected to deliver mediocre C compilers while emitting millions of tons of CO2 into the atmosphere just to make a handful of rich people even more rich? And suddenly we have something like Moltbook to pollute our planet even more. Where are we going with this?

Anybody feels something like that? I seriously thinking about leaving the industry to keep my mental health in control or switch to some tech that is hard for AI.

Comments

jacquesm•1h ago
I wouldn't blame you. But: hypes come and hypes go, this one will go too. But it will destroy the funding environment for a while when it does, the same happened the previous times this happened.

In five years time AI will be just another tool in the toolbox and nobody will remember the names of the hypers. I agree it is depressing: there are quite a few people banging this drum and because of that it becomes harder to be heard. They, like AI have the advantage of quantity. There is one character right here on HN that spews out one low effort AI generated garbage article after another and it all gets upvoted as if it is profound and important. It isn't. All it shows is how incredibly bland all this stuff is.

Meanwhile, here I am, solving a real problem. I use AI as well but mostly to serve as a teacher and I check each and every factoid that isn't immediately obviously true. And the degree to which that turns up hallucinations is proof enough to me that our jobs are safe, for now.

A good niche is cleaning up after failed AI projects ;)

best of luck there!

Jacques

keiferski•1h ago
It’s becoming pretty annoying, and I am noticing that I read HN less.

I do think that like all trendy hypes, it will go away after awhile. And the people that are focused on the next thing now are going to be a step ahead once the AI hype gets old.

For startups specifically I think the next big thing will be in-person social media. The AI slop will get old after awhile, and someone will figure out how to make Meetup.com actually work.

rvz•1h ago
> Where are we going with this?

Recommended reading: [0]

What you are seeing is that anyone can build anything with just a computer and a AI agent and the AI boosters are selling dreams, courses and fantasies without the risks or downsides that come with it. Most of these vibe coded projects just have very bad architecture and the experienced humans still have to review and clean it all up.

Meanwhile, "AGI" is being promised by those big labs, but their actions says otherwise as what it really means is an IPO. After that, we will see a crash come afterwards and the hype brigade and all the vibe coders will be raced to zero by local models and will move on after the grift has concluded.

You now need to know what to build and what should exist out of infinite possibilities as you can assume that someone can do that in 10 mins with AI. What used to be 90% of startups fail; with AI it is now 98% of them failing.

We know how this all ends. Do not fall for the hype.

[0] https://blog.oak.ninja/shower-thoughts/2026/02/12/business-i...

0xecro1•33m ago
Hi, I’ve been working with embedded Linux for 18 years.

I’ve been actively trying to apply AI to our field, but the friction is real. We require determinism, whereas AI fundamentally operates on probability.

The issue is the Pareto Principle in overdrive: AI gets you to 90% instantly, but in our environment, anything less than 100% is often a failure. Bridging that final 10% reliability gap is the real challenge.

Still, I view total replacement as inevitable. We are currently in a transition period where our job is to rigorously experiment and figure out how to safely cross that gap.

Good luck!

jacquesm•23m ago
And by not doing the 90% yourself you lack the understanding you need to be able to tackle the remaining 10%.
bkjlblh•18m ago
TLDR: you don't have to leave the industry, just focus on yourself and not your feelings

> The people and corporations and all those LinkedIn gurus, podcasters

You can just mute and ignore them

> I'm now scared to publish open source

If you get many PRs it's a good problem to have, better than you publish and nobody reads it

> mediocre C compilers, Moltbook

it's all experiments. You can say the same thing about cleantech 15 years ago, where companies talked about solar panels and electric cars with swappable batteries all the time. You don't have to keep track of all things people experimenting with

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