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The study, published in 2013, shows that automation can affect both skilled and unskilled work and both high and low-paying occupations; however, low-paid physical occupations are most at risk. It estimated that 47% of US jobs were at high risk of automation. [31]
Workplace health surveillance, the collection and analysis of health data on workers, is challenging for AI because labor data are often reported in aggregate and does not provide breakdowns between different types of work, and is focused on economic data such as wages and employment rates rather than skill content of jobs. Proxies for skill ...
19th century statistics support the growth of skilled workers, including high-skilled and low-skilled workers, as reaching above 60% of the English and Welsh population. [10] However, this statistic fails to mention the growth in highly skilled or low-skilled workers, thus providing no evidence to support the claim that deskilling was the ...
Automation follows a predictable progression in which it will first be able to replace the mechanical tasks, then analytical tasks, then intuitive tasks, and finally empathy based tasks. [5] However, full automation is not the only potential outcome of AI advancements. Humans may instead work alongside machines, enhancing the effectiveness of both.
A number of causes have been hypothesized, including advances in technology such as automation, globalization, self-employment and wage inequality. [ 5 ] [ 6 ] [ 7 ] Some commentators argue that some or all of the Great Decoupling can be explained as the product of faulty assumptions about the underlying economics.
H-1B Employer Data used its own data, news reports, and economic research to explore how a shortage of visas for skilled workers has impacted the U.S. economy.
The skilled migration program known as H-1B is not just about bringing in skilled immigrant workers, it also provides a pathway for foreign students who enroll and graduate from America’s ...
Race Against the Machine is a non-fiction book from 2011 by Erik Brynjolfsson and Andrew McAfee about the interaction of digital technology, employment and organization. The full title of the book is: Race Against the Machine: How the Digital Revolution Is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy.