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A 2017 study by PricewaterhouseCoopers found that up to 38% of jobs in the US, 35% of jobs in Germany, 30% of jobs in the UK, and 21% of jobs in Japan were at high risk of being automated by the early 2030s. [91] A 2017 study by Ball State University found about half of American jobs were at risk of automation, many of them low-income jobs. [92]
Work 4.0 (German: Arbeit 4.0) is the conceptual umbrella under which the future of work is discussed in Germany and, to some extent, within the European Union. [1] It describes how the world of work may change until 2030 [2] and beyond in response to the developments associated with Industry 4.0, including widespread digitalization. [3]
By 2030, between 3 and 14 percent of the global workforce will be forced to switch job categories due to automation eliminating jobs in an entire sector. While the number of jobs lost to automation is often offset by jobs gained from technological advances, the same type of job loss is not the same one replaced and that leading to increasing ...
Increased focus on what post-work society would look like has been driven by reports such as one in 2018 that states 47% of jobs in the United States could be automated. [17] Because of increasing automation and the low price of maintaining an automated workforce compared to one dependent on human labor, it has been suggested that post-work ...
Automation means automatic control, meaning a process is run with minimum operator intervention. Some of the various levels of automation are: mechanical methods, electrical relay, feedback control with a controller and computer control. Common applications of automation are for controlling temperature, flow and pressure.
[3] [14] Bruce Kasanoff of Forbes commented that the video was "sobering", and "suggests, in a convincing fashion, that many human jobs will disappear over the coming years, because automation will do them faster, better, and cheaper." [13] The Verge commented, "The video may be too pessimistic by the end, but the thesis still stands."
Artificial intelligence in education (AIEd) [1] is the application of AI in educational settings. The field combines elements of generative AI , data-driven decision-making , AI ethics , data-privacy and AI literacy . [ 2 ]
However, many businesses anticipate that automation, or employing robots would result in job losses in the future. This is especially true for companies in Central and Eastern Europe . [ 2 ] [ 3 ] [ 4 ] Other digital technologies, such as platforms or big data , are projected to have a more neutral impact on employment.