What 81,000 people want from AI

Website and UX

  • Many complain the Anthropic page is extremely heavy, slow, and CPU-intensive, especially on phones; several describe frame drops and fans spinning up.
  • Blame is placed on “vibe-coded” / Next.js-style frontend bloat, telemetry, and animations; some see it as emblematic of modern web regressions.
  • A PDF mirror is shared as a workaround.

Survey Design and Sample Bias

  • Several note the respondents are active Claude users prompted to give positive visions first, so hostile or “I want AI to go away” views are structurally excluded.
  • Headline categories like “professional excellence” and “personal transformation” are criticized as vague, generic, and marketing-friendly.
  • Some compare this to classic corporate “thought leadership” pieces; calls are made for independent academic analysis instead.
  • Survivorship bias is raised: the study tells us what satisfied users say, not what the broader or AI-averse public wants.

Interpretation of Quotes and Use Cases

  • Many find the individual stories the most interesting part: acceleration of research, emotional support in war zones, educational help for kids, assistance in self-understanding and health advocacy.
  • Others are uneasy: AI as quasi-friend/therapist, emotional dependence, medical prompting leading to over-testing and false positives, or people outsourcing personal creativity and care.
  • Some dramatic claims (e.g., years of work compressed into weeks) are met with skepticism about realism and user competence.

Economic and Social Impact

  • Strong concern that current AI deployment is framed as labor replacement, benefiting shareholders more than workers or consumers.
  • Debates over whether productivity gains will raise wages for skilled workers or simply increase exploitation and precarity.
  • Suggestions include focusing on societal supports (healthcare, housing, safety nets) rather than only higher dev salaries.

AI Capabilities, Risks, and Communication Style

  • Desire for AI that can say “I don’t know” and firmly correct users, not just generate fluent answers.
  • Some think Claude is relatively better at avoiding “bullshit,” but unreliability remains a top concern.
  • Multiple commenters suspect that parts of the article and even user quotes were edited or AI-written, citing stylistic “tells” and fluffy, content-light prose.
  • Overall tone: mix of fascination with real benefits and deep skepticism about marketing spin, methodology, and long-term societal effects.