Wednesday, March 31, 2021
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“Robots” do not threaten white-collar jobs – Economy – Arab and International

White-collar workers with university degrees and specialized training feel relatively safe from automation and the widespread use of “robots,” which they deemed do not threaten their jobs.

But recent developments in artificial intelligence have become a threat, as science has created algorithms capable of outperforming doctors, lawyers and bankers in certain parts of their jobs, as “robots” learn to do tasks of higher value.

However, the writer in the “New York Times”, Kevin Ross, believes that not all “robotics” programs are of the kind that destroy jobs, pointing out that the technology director at a car insurance company, Holly First, said that she used automation to do 173,000 hours. From working in areas like human resources without firing anyone.

“People are concerned about the possibility of losing their jobs, or not having anything to do, but once we have a (robot) that shows the nature of automation, they are really happy that they don’t have to do this work anymore,” Ross added.

He explained that “automating robotic processes” is changing workplaces at a pace that few can estimate. Automation is being carried out by companies that you may not have heard of before.

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And he indicated that the value of “UiPath”, the largest stand-alone automation company in the world, is about $ 35 billion, which is scheduled to be offered for public subscription later this year.

In general, executives see that these “robots” are beneficial to everyone, as they “simplify operations”, while “liberate workers” from regular and repetitive tasks, but at the same time they deprive many workers of their jobs.

Independent experts say that major companies are leading initiatives aimed at reducing costs and laying off workers, which is the driving factor behind the decision to automate, rather than improving working conditions.

The attractiveness of “robots” is that they are cheap, easy to use, and compatible with the systems of companies that often rely on them to achieve short-term profits, rather than embarking on more expensive technical upgrades that may take years to pay for them. Automation to deal with growing demand, closed offices, or budget constraints.

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