Difference between revisions of "AI Research"
From WikiDreams
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* 38 percent of jobs in the United States were at high risk of automation by the early 2030s. | * 38 percent of jobs in the United States were at high risk of automation by the early 2030s. | ||
* stated jobs that could be automated, yet actual losses will be mitigated by regulatory, legal and social dynamics | * stated jobs that could be automated, yet actual losses will be mitigated by regulatory, legal and social dynamics | ||
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| + | [https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a-future-that-works harnessing automation for a future that works] | ||
Revision as of 16:25, 25 January 2020
Future of Employment: How susceptible are jobs to computerization - 2013 - Oxford University
- Author's - Carl Benedikt Frey and Michael A Osborn
- 47 percent of U.S. jobs could be automated within the next decade or two
- occupation-based evaluation
- evaluated the likelihood that 71 occupations could be automated
- modeled the impact on 632 additional occupations
- they estimated what was technically possible
Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (pdf) - 2016 - OECD
- task-based approach
- 9 percent of jobs in U.S. were at high risk for automation
- based on at least 70% of the jobs task could be automated
Will robots really steal our jobs? An international analysis of the potential long term impact of automation - 2017 - PWC
- 38 percent of jobs in the United States were at high risk of automation by the early 2030s.
- stated jobs that could be automated, yet actual losses will be mitigated by regulatory, legal and social dynamics
