Tell HN: I'm sick of AI everything

Hacker News Discussion ↗

Frustration is mounting among technologists over the near-total saturation of AI in products, media, and workplace messaging, with many lamenting a flood of low-quality “AI slop” content and shallow hype. Commenters draw parallels to past tech bubbles and “enshittification,” worrying about job displacement, surveillance, and loss of genuine human expression, even as others argue that AI is a powerful tool for productivity, learning, and creativity when used carefully. Several voices predict that AI will eventually fade into the background like previous foundational technologies, but fear the internet and social spaces may be degraded before that equilibrium arrives.

AI saturation and “slop” fatigue

  • Many commenters are exhausted by AI dominating news, job ads, product pitches, and HN itself.
  • “AI slop” (LLM- or image-generated mediocre content) is seen as flooding social media, YouTube, LinkedIn, email, marketing copy, even compliance training.
  • Some are specifically sick of posts that say only “I’m sick of AI” without being precise about which kind or use.

Impact on online content and social media

  • People lament losing earlier social feeds that highlighted real friends’ lives and projects; now they see generic AI-written self‑promotion and ads.
  • AI-generated thumbnails, fake voices, and video scripts make platforms feel plastic and inauthentic.
  • Some expect this enshittification and content flood may push people off major platforms and back toward offline or local communities.

Usefulness vs. drawbacks in work and learning

  • Supporters describe LLMs as “average junior devs” or powerful assistants for coding, debugging, research, health questions, shopping, and learning new domains.
  • Others say productivity gains are offset by constant verification needs and hallucinations.
  • A recurring worry: people use AI to produce work they don’t understand, eroding real expertise and the “desirable difficulties” that cement learning.

Economic, labor, and societal concerns

  • Some frame job displacement as inevitable and even positive, arguing policy (benefits, redistribution) should adapt.
  • Others, including unemployed or underemployed tech workers, see AI as intensifying existing precarity and inequality.
  • Surveillance concerns: AI-powered analysis of ubiquitous cameras is viewed by some as a profound threat to dissent and civil liberties, though others argue authoritarian control predated modern AI.

Comparisons to past tech waves and bubble dynamics

  • Multiple commenters liken the current hype to the dot-com bubble, Web 2.0, crypto, and “metaverse” eras: everything rebranded as AI regardless of fit.
  • Some expect a sharp correction; others note today’s more financialized markets may prolong the bubble.

Cultural, aesthetic, and authenticity worries

  • Many dislike AI voices, stocky art, and generic text replacing human craft in music, writing, and design.
  • Some fear a decline in human creativity; others argue AI mainly automates tedium, letting humans focus on harder or more artistic work.

Coping strategies and adaptations

  • Tactics include: blocking AI thumbnails/voices, filtering AI topics from HN/RSS, avoiding AI-generated domains, or even building offline, human-only knowledge-sharing spaces.
  • A minority embraces AI fully, integrating it into nearly every aspect of work and daily life and urging others to accept it as the next “electricity.”