The Hacker News crowd doesn’t hate AI — they hate what’s being done with it and who’s doing it.
I build bots for a living. I spend my days wiring up agents, debugging prompt chains, and shipping tools that actually solve problems for real users. So when a thread titled “Ask HN: Why is the HN crowd so anti-AI?” blew up with 339 points and 585 comments in under a day, I paid attention. Not because I felt attacked, but because I recognized the frustration. I share some of it.
The Skepticism Is Earned, Not Irrational
In 2026, public unease around AI isn’t some fringe position. It’s mainstream. Tech leaders themselves are reportedly anxious about the lack of enthusiasm from the general public for their AI plans. When the people building the thing are worried that nobody outside their circle is excited, that tells you something important: the pitch isn’t landing.
And the HN community — made up largely of engineers, founders, and people who actually read technical papers — sits in a unique spot. They understand what the technology can do. They also understand what it can’t. That combination makes them allergic to hype in a way that general audiences aren’t. They’ve seen too many demos that fall apart in production. They’ve watched too many startups wrap a thin API call around GPT and call it a product.
It’s a Power Problem, Not a Tech Problem
One of the most upvoted sentiments in the thread was blunt: society is divided on AI because we’ve let the billionaire tech bro class control power resources and AI deployments without meaningful checks. That’s not anti-technology. That’s anti-concentration-of-power. There’s a critical difference.
As someone who builds bots from the ground up, I get this tension daily. The tools I use are controlled by a handful of companies. Pricing changes, model deprecations, content policy shifts — any of these can break my work overnight. I’m building on someone else’s foundation, and that someone else answers to shareholders, not to my users. The HN crowd sees this structural dependency clearly, and they’re right to flag it.
Comparisons to the Dot-Com Boom Miss the Point
Some analysts have compared public sentiment now to the dot-com era, noting that people loved that boom but aren’t showing the same warmth toward AI. I think the comparison is flawed in a revealing way. The dot-com boom promised regular people they’d get rich buying stocks and starting websites. AI in 2026 mostly promises regular people that their jobs might disappear while a small group captures the economic upside. The value proposition for ordinary humans is murky at best, threatening at worst.
From my workshop, I see daily how AI can be genuinely useful — automating tedious tasks, helping small teams punch above their weight, making information more accessible. But I also see how the loudest voices in the space aren’t talking about these modest, real benefits. They’re talking about AGI timelines and trillion-dollar market caps. That disconnect between the builders doing practical work and the executives selling grand visions feeds the skepticism.
What This Means If You’re Actually Building
If you’re like me — hands in the code, shipping bots that do specific things for specific people — the HN backlash is actually useful signal. Here’s what I take from it:
- Show your work. People trust builders who demonstrate limitations alongside capabilities. If your bot fails at something, say so publicly.
- Solve narrow problems well. The grand vision stuff is what’s generating the backlash. A bot that reliably answers customer questions about shipping status doesn’t need to be positioned as a step toward machine consciousness.
- Acknowledge the power dynamics. If your tool depends on OpenAI or Anthropic or Google, be transparent about that dependency. Your users deserve to know what they’re building on.
- Respect the skeptics. The people asking hard questions about labor displacement, ownership, and accountability are not your enemies. They’re doing the quality assurance that the industry refuses to do on itself.
My Honest Take
I’ve built my career around AI tooling. I believe in this technology’s practical value. But I refuse to pretend the criticism is unfounded or that skeptics simply “don’t get it.” The HN crowd gets it fine. They just don’t trust the people holding the steering wheel, and given how those people have behaved across every previous technology cycle, that distrust is rational.
The path forward for those of us building in this space isn’t to dismiss the critics. It’s to build things so obviously useful, so transparently constructed, and so respectful of human autonomy that the criticism becomes less relevant — not because we silenced it, but because we answered it with our work.
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