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CascadiaPrime Cognition - The implications of AI on employment and employment patterns


Artificial Intelligence seems likely to alter almost every field of human endeavour producing wide benefits for society. Concurrently it seems likely to produce accelerated change in the workplace altering both employment and employment patterns to such a degree that new public policy models may be necessary to maintain social cohesion.

There are very strong countervailing trends emerging. Rapid aging and declining birth rates in OECD countries may well lead to labour shortages and to taxpayer shortages. The later problem is going to call for innovative thinking in finance departments across the OECD and in China that has the same demographic problem.

In a perfect world automation would exactly offset labour shortages due to aging but a perfect match of skills seems improbable. It appears likely that the rise in the application of robots in production will lead to reduced wages or reduced employment for low skilled workers for a long time and increased returns on capital leading to rising inequality. It may also lead to reduced demand for high skill "white collar" jobs such as radiologists. This change in occupational demand will call for a good deal of social innovation some of which may be AI supported. Employment "adjustments" will be localized with some regions being net winners and others net losers. Disparities between those benefiting and those losing will also vary by country. Those jurisdictions with progressive, "loophole free", tax systems seem likely to weather the coming social cohesion crises better.

AI could substantially enhance productivity with resulting lower consumer costs, increased overall standards of living, increased rates of economic growth and improved tax revenues.

The unbundling of jobs into tasks that can be handled remotely either via online gig employees or AI applications seems to be rising.

Each jursidiction will face different adjustment challenges. Some jursidictions may not be able to support both trade adjustments and AIification adjustments. And some will not be able to win the fruits of AIification.

    
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  Online Labour Index - a project of the Oxford Internet Institute of Oxford University (February, 2018)
  
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  Carolyn A. Wilkins of the Bank of Canada on automation, productivity and the labour market (April 18, 2017)
  
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  Jobless Recoveries (April 8, 2015 )
  
  Center for Brains, Minds and Machines External Advisory Committee Member David Siegel talks with MIT principal research scientist Andrew McAfee about the role of artificial intelligence and jobs. (April 7, 2017)
  
  Carlota Perez: Second Machine Age of Fifth Technological Revolution? Different interpretations lead to different recommendations – reflections on Erik Brynjolfsson and Andrew McAfee’s book The Second Machine Age (2014) Part I (January 16, 2017)
  
  No, Robots Should Not Be Taxed (March 3, 2017)
  
  “The Relentless Pace of Automation” (February 13, 2017)
  
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  G&M: Artificial intelligence is the future, and Canada can seize it (January 7, 2017)
  
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  HBR: ARTIFICIAL INTELLIGENCE: DISRUPTING THE FUTURE OF WORK (January, 2017)
  
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  Speech given by Bank of England head Mark Carney: we must grow our economy by rebalancing the mix of monetary policy, fiscal policy and structural reforms (December 5, 2016)
  
  Talk: Oxford Martin School: "Skills, education and work in the digital age" with Dr Craig Holmes (November 3, 2016)
  
  The future will have plenty of jobs. When human labor is a luxury good - productivity - paradox (October 24, 2016)
  
  IMF: Robots, Growth, and Inequality (September 2016)
  
  Jason Furman, Chairman, US Council of Economic Advisers: Is This Time Different? The Opportunities and Challenges of Artificial Intelligence (July 7, 2016)
  
  White House's Council of Economic Advisors (CEA) 2016 report - 83 percent probability that automation will replace workers whose wages are less than $20 an hour (February 2016)
  
  World Development Report: Digital Dividends (2016)
  
  McKinsey: Automation Potential and Wages for US Jobs
  
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  MIT Initiative on the Digital Economy
  
  Brookings: Darrell M. West: What happens if robots take the jobs? The impact of emerging technologies on employment and public policy (October 2015)
  
  Tom Friedman in conversation on AI versus AI and other global macro forces (October 2015)
  
  McKinsey - No Ordinary Disruption: The four global forces breaking all the trends (May 2015)
  
  Top Deep Learning researcher Andrew Ng expresses concern about employment impacts
  
  Is a Cambrian Explosion Coming for Robotics?
  
  Original article: Is a Cambrian Explosion Coming for Robotics? (Summer 2015)
  
  Newsweek: An Unhealthy Bread and Circuses Society
  
  Baker Institute: Turing Robots: Income Inequality and Social Mobility (PDF)
  
  Fortune: 5 white-collar jobs robots already have taken (February 2015)
  
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  Talk: Michael A. Osborne (Oxford University) keynote at the "Digitizing Europe" Summit in Berlin (January 2015)
  
   James Blessen: Innovative technology is displacing workers to new jobs rather than replacing them entirely (IMF, March 2015)
  
  OECD Counties face severe labour shortages and taxpayer shortages
  
  OECD Scenerios: What will our livelihoods be like in 2030?
  
  Canada's demographic time bomb
  
  Demographics, Geopolitics and Economics
  
  The Graying of the Great Powers - Demography & Geopolitics in the 21st Century (PDF)
  
  Ray Kurzweil - Exponential Finance August 2014
  
  CEDA Report: Australia's future workforce? (June 2015)
  
  Churchill Club Panel: Global Growth Trends & the Productivity Imperative
  
  Open Letter on the Digital Economy (June 2015)
  
  Research Agenda called for in Open letter on Digital Economy
  
  It now only takes on average 1.3 years for an industrial robot in China to pay back its investment, down from 11.8 years in 2008, according to Goldman Sachs
  
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