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10 Things You've Always Wanted to Know About the Future of Work

Talkat DLD Munich 2016 · 2016-01-17..01-19· [machine-learning, career-development]
links:none on file
slides:none on file

Argues that recent breakthroughs in machine learning are already replacing tasks at the margin (example: contract‑reading startups), not waiting for full automation, and that a $1,000/month universal payment would cover basics in parts of the US while costing about $3 trillion—under a tenth of gross output—so affordability is plausible. Cites experiments in Namibia, India and pensioner data showing recipients often retrain, volunteer or start local economies rather than just stop working.

AI-written summary · about

  1. 0:00Automation worries investors
  2. 1:04Human cost of automation
  3. 2:31Automation’s timeline
  4. 4:56Automation reshapes jobs
  5. 5:18What is basic income
  6. 7:01Basic income for cities
  7. 8:48Financing basic income globally
  8. 10:13Does work define value
  9. 12:39Education with automation
  10. 14:26Can society afford basic income
  11. 15:28When basic income arrives
  12. 16:31Q&A: Citizen-state relationship
  13. 19:19Q&A: Moral hazard and migration
  14. 20:44Q&A: Education and motivation
  15. 21:05Q&A: Future of office work
  16. 22:49Closing thoughts
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