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[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 <br>
* 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

[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&id=id&accname=guest&checksum=8D60E1D8AFF097526917DDB6DD9A24DD (pdf)] - 2016 - OECD <br>
* 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

[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 <br>
* 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

[https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a-future-that-works Harnessing automation for a future that works] - 2017 - McKinsey <br>
* 50 percent of work tasks around the world are already automatable
* 30 percent of work activities could be automated by 2030
* only 14 percent of workers would need to change occupations

[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 <br>
* employers will need 20 to 25 percent fewer employees by 2030
* that's equal to 30 to 40 million displaced workers in the United States
* 80 percent of all workers will be affected

Prediction Challenges <br>
* many jobs have a mix of tasks - some can be automated and other cannot
* entirely new occupations
* enablement jobs
* speed of technology deployment - if it can be automated, it may not be done for many reasons
* demand from lowering the cost of goods and services production
* shift of spending to other goods and services if savings  
* AI Startups find a whole new way to satisfy a human need