Ask HN: Can we just admit we want to replace jobs with AI?
Commenters wrestle with whether current AI efforts are primarily about cutting labor costs rather than “advancing humanity,” and what happens if automation eventually outcompetes humans in most economically valuable work. Some see this as a familiar productivity story—historically, technology has destroyed and created jobs—while others argue AI is different because it can recursively replace new roles, concentrate wealth, and erode the political power and sense of meaning tied to work. Proposed responses range from individual retraining and shifting into physical or care jobs, to systemic changes such as stronger safety nets, UBI, or new models of collective ownership of AI-driven production.
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.