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Work in the Digital Economy

  • Daniel Susskind
Chapter
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Abstract

Traditionally, many people have imagined that while ‘routine’ tasks can be automated, ‘non-routine’ tasks cannot. However, advances in processing power, data storage capability and algorithm design mean that ‘non-routine’ tasks can increasingly be automated—and so this commonly held view is no longer as reliable as it was in the past. This has four important implications for thinking about the future of work: for the limits of machine capabilities, for the pervasiveness of automation, for the ‘skill-blindness’ of technological change and for the uncertainty that clouds the future.

References

  1. Susskind, D. (2017, November). 3 Myths about the Future of Work (and Why They’re Not True), A TED Talk Delivered in London, November 2017.Google Scholar
  2. Susskind, D. (2019). Re-thinking the Capabilities of Technology in Economics. Economics Bulletin, 39(1), A30.Google Scholar
  3. Susskind, D. (2020). A World Without Work. London: Allen Lane.Google Scholar
  4. Susskind, D., & Susskind, R. (2015/2017). The Future of the Professions. Oxford: OUP.Google Scholar
  5. Susskind, D., & Susskind, R. (2018). The Future of the Professions. Proceedings of the American Philosophical Society, 162(2).Google Scholar

Copyright information

© The Author(s) 2020

Authors and Affiliations

  • Daniel Susskind
    • 1
  1. 1.Balliol CollegeUniversity of OxfordOxfordUK

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