The rise of AI and automation alarmed some technologists and US workers, fearful that these technological advancements would steal jobs. Before long, we saw a time of correcting that assumption, with new information reassuring workers that people would work with robots, and not be supplanted by them.
The truth will probably be someplace in the middle of this dystopia and utopia, as indicated by a Thursday report from the Metropolitan Policy Program at the Brookings Institution. The report uses government and private information to develop both backward- and forward-looking analyses of the effects on robotization throughout the years 1980 to 2016 and 2016 to 2030 across about 800 jobs.
While automation and AI will affect tasks for virtually every job in the future, as IBM's Ginni Rometty has posited, the impacts on workers will change significantly, the report found. Just 25% of US occupations are highly susceptible to automation, implying that over 70% of their present tasks are in danger of being supplanted by a robot. In any case, this figure speaks to 36 million occupations, including positions in food preparation, production, office and administrative support, and transportation.
"That population is going to need to upskill, reskill or change jobs fast," Mark Muro, a senior fellow at Brookings and lead author of the report, disclosed to CBS News. The timeline for the changes could be "a couple of years or it could be two decades," he included.
Another 36% of US workers (52 million) will encounter medium exposure to automation, while 39% (57 million workers) will encounter low exposure, as per the report.
The most secure employments include a broad set of positions, going from creative professional and technical jobs with high educational requirements to low-paying personal care and residential service work, the report found. These employments are characterized by non-routine activities or the requirement for social and emotional intelligence, it included.
0In the coming years, automation will impact low-paying jobs first, the report found. The average automation potential for occupations requiring a four-year college degree is simply 24%, while that for employment that doesn't require the degree is 55%.
"Given this, better-educated, higher-paid workers, generally, will keep on facing lower automation threats dependent on current task content—however, that could change as AI puts pressure on some higher-wage 'non-routine' employment," as indicated by the report.
The report additionally examined automation by region and found that smaller, more rural networks will confront greater risks. Automation will be most problematic in the Heartland states, because of the number of jobs in manufacturing and farming around there.