Ask HN: Can we just admit we want to replace jobs with AI?

Hacker News Discussion ↗

Automation, Jobs, and Intent

  • Broad agreement that capital has always aimed to replace labor; AI is a continuation, not a new motive.
  • Many say the “we’re not trying to replace jobs” line is mostly PR; labor is a major cost center.
  • Some frame automation and “advancing humanity” as the same thing; others see that framing as insincere cover for profit-seeking.

“This Time Is Different” vs Historical Analogies

  • Pro‑automation side: past tech (industrial machinery, computing, lawnmowers) destroyed specific jobs but raised overall prosperity and created new roles.
  • Skeptics: previous waves pushed people into knowledge work; AI directly targets knowledge work and can recursively automate new “higher” jobs, so the usual safety valve may be gone.

Economic Distribution, Inequality, and Policy

  • Strong concern that AI will concentrate wealth in a small oligarchic class owning the “means of computation.”
  • Fears of wage suppression, reduced consumer demand, and weaker GDP despite higher corporate profits.
  • Proposals: UBI, stronger welfare states, government-created care/education jobs, or broader ownership of AI capital.
  • Counterpoint: current political-economic systems (esp. neoliberalism) and elite interests make large-scale redistribution unlikely without crisis and conflict.

Preparing as Individuals

  • Suggested strategies:
    • Mental: accept careers are finite; build identity outside work.
    • Financial: save more, expect lower living standards, cut costs.
    • Career: pivot to roles needing physical presence or regulation (nurses, trades, teachers, nuclear industry), or acquire mixed skillsets.
  • Pushback: many such jobs are burnout-prone, publicly funded, and themselves potentially automatable (robots, care tech).

AGI Timelines and Technical Limits

  • Some argue AGI is only a few years away, citing current LLM strengths and known techniques to fix weaknesses like planning.
  • Others question trend extrapolation, pointing to slow progress in autonomous vehicles, robotics, continual learning, and real‑world dexterity and energy constraints.
  • Overall timeline and capability trajectory remain contested.

Meaning, Agency, and Human Futures

  • Deep worry that superhuman AI in all cognitive domains erases human agency and the sense of “I matter,” reducing people to spectators.
  • Others think crises of meaning already exist, and that family, friends, hobbies, religion, and abundant leisure could substitute for work-based identity.
  • End-state scenarios range from egalitarian abundance to “zoo‑keeper vs surplus humans” dystopia; commenters agree the transition period is likely turbulent and the outcome is unclear.