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Mastering the robot
The future of work in the second machine age
ETUI/ETUC conference 29-06-2016
Robert Went (WRR)
@went1955
The future of work
WRR-project
Will 47% of jobs disappear? Not so fast…
• 100 biggest Dutch employers in 2014: - 0,5%
• Jobs are bundles of tasks, often change partially (studies
McKinsey and recently OECD)
• There will be new jobs and tasks (imagination)
• Not everything can be automated (e.g. economist David
Autor; examples Foxconn & Mercedes)
Discussion since the 1950s: AI versus IA
Technology doesn’t just happen to you
The future: an inclusive robot agenda
“Digital investments need analog complements to ensure everyone
will reap benefits” – Worldbank 2016
1. Invest in robots
• There are not enough robots: productivity and growth (Gordon)
• Heavy and drudgery work can be automated
• Coordination problems, first mover disadvantage
2. Complementarity is key: man with machine (co-bots)
• “Humans are underrated” (work that is human, or that should
stay human)
• Organize co-creation (government can set examples)
• Also low-skilled work and lower incomes (Atkinson, MIT
inclusive innovation contest, care sector, job carving)
3. Ownership of work
• Autonomy and control good for productivity
• Reduce stress, burn-out, increase well-being (happiness)
• “Don’t change workers into robots” (e.g. wearables)
4. New inequality issues
• Income: Job polarization, more low-skilled jobs (multiplier)
• Wealth: Who owns the robots owns the future (robot dividend)
• Loosers: Portfolio of measures to support people not able to cope
(targeted “basic income”, supported jobs, early retirement)
Robert Went
@went1955
Questions? Comments?
Mastering the Robot download: www.wrr.nl

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ETUI-ETUC conference 2016 Panel 20 Robert Went

  • 1. Mastering the robot The future of work in the second machine age ETUI/ETUC conference 29-06-2016 Robert Went (WRR) @went1955
  • 2. The future of work WRR-project
  • 3. Will 47% of jobs disappear? Not so fast… • 100 biggest Dutch employers in 2014: - 0,5% • Jobs are bundles of tasks, often change partially (studies McKinsey and recently OECD) • There will be new jobs and tasks (imagination) • Not everything can be automated (e.g. economist David Autor; examples Foxconn & Mercedes)
  • 4. Discussion since the 1950s: AI versus IA Technology doesn’t just happen to you
  • 5. The future: an inclusive robot agenda “Digital investments need analog complements to ensure everyone will reap benefits” – Worldbank 2016
  • 6. 1. Invest in robots • There are not enough robots: productivity and growth (Gordon) • Heavy and drudgery work can be automated • Coordination problems, first mover disadvantage
  • 7. 2. Complementarity is key: man with machine (co-bots) • “Humans are underrated” (work that is human, or that should stay human) • Organize co-creation (government can set examples) • Also low-skilled work and lower incomes (Atkinson, MIT inclusive innovation contest, care sector, job carving)
  • 8. 3. Ownership of work • Autonomy and control good for productivity • Reduce stress, burn-out, increase well-being (happiness) • “Don’t change workers into robots” (e.g. wearables)
  • 9. 4. New inequality issues • Income: Job polarization, more low-skilled jobs (multiplier) • Wealth: Who owns the robots owns the future (robot dividend) • Loosers: Portfolio of measures to support people not able to cope (targeted “basic income”, supported jobs, early retirement)