a column by Pierre Cahuc, Franck Malherbet and Julien Prat for VOX: CEPR’s Policy Portal
Standard economic models predict that employment protection legislation reduces both job destruction and job creation, with the negative impact on job creation caused by the anticipation of separation costs.
This column shows that in France, this anticipation effect not only plays a key role in reducing job creation but also increases job destruction among low-skilled workers, an effect that is amplified by the presence of the minimum wage. This mechanism implies that job protection is strongly detrimental to employment in the French context.
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Showing posts with label job_destruction. Show all posts
Showing posts with label job_destruction. Show all posts
Monday, 17 June 2019
Friday, 6 April 2018
Most Americans think artificial intelligence will destroy other people’s jobs, not theirs
an article by James Vincent published by The Verge [grateful thanks to Library Link]
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Photo by Matt Roberts/Getty Images
AI is a problem for jobs, say the majority of Americans, but it’s someone else’s problem.
Nearly three-quarters (73 percent) of US adults believe artificial intelligence will “eliminate more jobs than it creates,” according to a Gallup survey. But, the same survey found that less than a quarter (23 percent) of people were “worried” or “very worried” automation would affect them personally. Notably, these figures vary depending on education. For respondents with only a four-year college degree or less, 28 percent were worried about AI taking their job; for people with at least a bachelor degree, that figure was 15 percent.
These numbers tell a familiar story. They come from a Gallup survey of more than 3,000 individuals on automation and AI. New details were released this week, but they echo the findings of earlier reports.
One survey conducted by Quartz last year found that 90 percent of respondents thought that up to half of all jobs would be lost to automation in five years, but 91 percent said there was “no risk to my job.” Another study from the Pew Research Center in 2016 found the same: 65 percent of respondents said that 50 years from now automation would take over “much” of the work currently being done by humans, but 80 percent thought their own job would still exist in that time frame.
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Photo by Matt Roberts/Getty Images
AI is a problem for jobs, say the majority of Americans, but it’s someone else’s problem.
Nearly three-quarters (73 percent) of US adults believe artificial intelligence will “eliminate more jobs than it creates,” according to a Gallup survey. But, the same survey found that less than a quarter (23 percent) of people were “worried” or “very worried” automation would affect them personally. Notably, these figures vary depending on education. For respondents with only a four-year college degree or less, 28 percent were worried about AI taking their job; for people with at least a bachelor degree, that figure was 15 percent.
These numbers tell a familiar story. They come from a Gallup survey of more than 3,000 individuals on automation and AI. New details were released this week, but they echo the findings of earlier reports.
One survey conducted by Quartz last year found that 90 percent of respondents thought that up to half of all jobs would be lost to automation in five years, but 91 percent said there was “no risk to my job.” Another study from the Pew Research Center in 2016 found the same: 65 percent of respondents said that 50 years from now automation would take over “much” of the work currently being done by humans, but 80 percent thought their own job would still exist in that time frame.
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Wednesday, 8 July 2015
Does technology destroy jobs?
a post by Graham Attwell in the CareersTalk blog
The argument over whether technology creates or destroys jobs has been going on for as long as I can remember. Only yesterday [was 17 May 2015] John Naughton, in an article entitled “We are ignoring the new machine age at our peril”, worried about the impact of self driving cars and other technology on the future of employment. Naughton argued that there are “radical discontinuities that nobody could have anticipated”, driven by “combinatorial” effects of different technology trends coming together.
These, he said, include: “the near-infinite computing power provided by Moore’s law; precise digital mapping; GPS; developments in laser and infrared sensor technology; and machine-learning algorithms plus the availability of massive data-sets on which to train them.”
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The argument over whether technology creates or destroys jobs has been going on for as long as I can remember. Only yesterday [was 17 May 2015] John Naughton, in an article entitled “We are ignoring the new machine age at our peril”, worried about the impact of self driving cars and other technology on the future of employment. Naughton argued that there are “radical discontinuities that nobody could have anticipated”, driven by “combinatorial” effects of different technology trends coming together.
These, he said, include: “the near-infinite computing power provided by Moore’s law; precise digital mapping; GPS; developments in laser and infrared sensor technology; and machine-learning algorithms plus the availability of massive data-sets on which to train them.”
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