Study found that young adults have grown less hopeful and more angry about AI

Labor market + generational anxiety

• Many commenters think Gen Z’s anger is rational: entry-level and junior roles are being cut and replaced with AI, closing off traditional middle‑class paths.
• “Safe” non‑AI jobs (trades, service work) are seen as vulnerable to wage pressure from displaced white‑collar workers and reduced demand from a poorer middle class.
• Some predict a “lost generation” as older workers benefit from AI while pulling up the ladder; others argue this mirrors prior automation waves that younger workers eventually master.

AI vs. previous technological shifts

• One camp: AI is “just another disruptive tech” like the loom or steam engine; short‑term pain, long‑term gains, new industries.
• Opposing camp: this analogy is misleading; LLMs target cognitive work broadly and could restructure the entire social contract, not just one sector.
• Historical references to Luddites emphasize that the core issue is distribution of productivity gains, not fear of technology per se.

Economy, capitalism, and distribution

• Several see AI as accelerating inequality, enriching a small group while making many workers redundant, with talk of “techno‑feudalism.”
• Others argue AI investment is currently propping up GDP and preventing a worse recession, though critics say real labor conditions already feel recessionary.
• There is recurring debate over whether to “resist” AI or adapt within a global capitalist system where resistance may simply be outcompeted.

Startups, “learn AI” advice, and business models

• Skepticism toward advice that young people should “start AI businesses”:
  • Thin wrappers around big models are easily cloned or absorbed by major labs.
  • Building any real business remains hard; AI mostly shifts cost structures, doesn’t guarantee defensibility.
• Counterpoint: real opportunities lie in using AI to solve physical‑world problems with tiny teams, not selling pure software.

Social slop, creativity, and education

• Widespread concern over AI‑generated “slop”: fake polls, junk metrics, noisy commit messages, hallucinated documents, and low‑quality web content erode trust and raise cognitive overhead.
• Some users personally love AI and feel more productive, yet see net social harm so far.
• Fears that heavy AI use weakens critical thinking, creativity, and genuine learning; proposals include process‑focused, in‑class writing and new pedagogies, though under‑resourced teachers may struggle to keep up.

Governance and post‑labor future

• Suggestions range from banning AI to planning for a “post‑labor” society with decoupled income and employment.
• Several warn that absent serious policy changes (safety nets, redistribution, political reform), mass unemployment plus visible elite gains could fuel unrest or even violence.