http://wikidreams.org/index.php?action=history&feed=atom&title=AI_Employment_Research 2026-10-23T16:10:01Z Revision history for this page on the wiki MediaWiki 1.23.5 http://wikidreams.org/index.php?title=AI_Employment_Research&diff=11309&oldid=prev 2020-02-02T22:16:13Z

<p>Created page with &quot;Return to <a href="/index.php/AI_Research" title="AI Research">AI Research</a> [https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf Future of Employment: How susceptible are jobs to computerization...&quot;</p> <p><b>New page</b></p><div>Return to [[AI Research]]<br /> <br /> [https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf Future of Employment: How susceptible are jobs to computerization] - 2013 - Oxford University &lt;br&gt;<br /> * Author's - Carl Benedikt Frey and Michael A Osborn<br /> * 47 percent of U.S. jobs could be automated within the next decade or two<br /> * occupation-based evaluation<br /> ** evaluated the likelihood that 71 occupations could be automated<br /> ** modeled the impact on 632 additional occupations<br /> * they estimated what was technically possible<br /> <br /> [https://www.oecd-ilibrary.org/social-issues-migration-health/the-risk-of-automation-for-jobs-in-oecd-countries_5jlz9h56dvq7-en Risk of Automation for Jobs in OECD Countries: A Comparative Analysis] [https://www.oecd-ilibrary.org/docserver/5jlz9h56dvq7-en.pdf?expires=1579994523&amp;id=id&amp;accname=guest&amp;checksum=8D60E1D8AFF097526917DDB6DD9A24DD (pdf)] - 2016 - OECD &lt;br&gt;<br /> * task-based approach<br /> * 9 percent of jobs in U.S. were at high risk for automation<br /> ** based on at least 70% of the jobs task could be automated<br /> <br /> [https://www.pwc.com/hu/hu/kiadvanyok/assets/pdf/impact_of_automation_on_jobs.pdf Will robots really steal our jobs? An international analysis of the potential long term impact of automation] - 2017 - PWC &lt;br&gt;<br /> * 38 percent of jobs in the United States were at high risk of automation by the early 2030s. <br /> * stated jobs that could be automated, yet actual losses will be mitigated by regulatory, legal and social dynamics<br /> <br /> [https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a-future-that-works Harnessing automation for a future that works] - 2017 - McKinsey &lt;br&gt;<br /> * 50 percent of work tasks around the world are already automatable<br /> * 30 percent of work activities could be automated by 2030<br /> * only 14 percent of workers would need to change occupations<br /> <br /> [https://www.bain.com/insights/labor-2030-the-collision-of-demographics-automation-and-inequality/ 2030: The Collision of Demographics, Automation and Inequality] - Feb 2018 - Bain and Company &lt;br&gt;<br /> * employers will need 20 to 25 percent fewer employees by 2030<br /> * that's equal to 30 to 40 million displaced workers in the United States<br /> * 80 percent of all workers will be affected<br /> <br /> Prediction Challenges &lt;br&gt;<br /> * many jobs have a mix of tasks - some can be automated and other cannot<br /> * entirely new occupations<br /> * enablement jobs<br /> * speed of technology deployment - if it can be automated, it may not be done for many reasons<br /> * demand from lowering the cost of goods and services production<br /> * shift of spending to other goods and services if savings <br /> * AI Startups find a whole new way to satisfy a human need</div>

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