Advances in artificial intelligence, or the capability of machines to learn by ingesting large amounts of data, are driving a rethink of what jobs only humans can do. A 2018 working paper by the National Bureau of Economic Research found “a wide range of viewpoints in the public discourse, ranging from alarmist predictions of massive unemployment caused by robots to sanguine predictions about net new job creation.” (The paper’s conclusion: The academic evidence so far “suggests modest negative employment effects.”) There’s also the argument that all this talk about robots stealing jobs is overblown. Nobel Prize-winning economist Paul Krugman, a New York Times columnist, calls the “fixation on automation” a mere “pseudo-issue.”
2. Which jobs are ripe for AI and robots?
Store cashier, clerk, telemarketer, paralegal, cook, waiter, receptionist, bank teller, security guard, data analyst, tax preparer and truck driver are among the jobs often mentioned as most susceptible to automation. Others that may be less obvious include surgeon, accountant and financial analyst. (Even some news reporting is being done by machines these days, including at Bloomberg News.) Jobs requiring repetitive tasks in a structured setting, primarily in manufacturing, were the first to be directly affected by automation, with the auto industry leading the charge. Since 1980, the number of U.S. manufacturing workers has shrunk by a third, to about 13 million, while output doubled. Newer machines come equipped with vision, mobility and the ability to learn, making more tasks ripe for automation. Sophisticated software is able to carry on a phone conversations with customers, for instance.
3. How many jobs are we talking about?
As many as 120 million workers in the world’s 12 largest economies may need to be retrained in the next three years as a result of automation and AI, according to a study by International Business Machines Corp.’s Institute for Business Value. A report this year by the Brookings Institution’s Metropolitan Policy Program found that roughly 36 million Americans hold jobs with “high exposure” to automation. In a 2017 report, McKinsey & Co. predicted that as much as 14% of the global workforce -- 375 million people, give or take -- will need to change occupations because of automation by 2030. A lot depends on new technologies that exist but aren’t quite ready for prime time, such as self-driving vehicles. There are about 3.5 million truck drivers in a U.S. workforce of about 160 million.
4. What sorts of jobs could be created due to automation?
It has always been much easier to identify jobs at risk from technology than to predict the new jobs that will be created. Before the advent of the internet and smartphone, it would have been difficult to foresee a need for mobile app designers or social media specialists, much less the emergence of “YouTube influencer” as a well-paid occupation. The World Economic Forum, in a 2018 report, identified machine-learning specialist, human-machine interaction designer and digital transformation specialist as among the new roles workers may fill.
5. When will all this happen?
It’s already started. Sales of professional service robots -- those used for nonindustrial functions such as logistics, inspections and maintenance -- reached 271,000 units in 2018, up 61% from 2017, according to the International Federation of Robotics. Forrester Research Inc. predicted that automation would claim 10% of U.S. jobs in 2019 but compensate for 3% of that through creation of jobs like botmaster and user interface designer.
There’s general agreement that human workers will require more education and skill to keep up with technological change and be ready to switch jobs and even occupations more often than before. The risk of workers with low levels of education falling behind may increase, exacerbating economic inequality.
7. Is this a global phenomenon?
Yes, and some countries are doing more than the U.S. to get their workforces ready. A 2018 report by the Economist Intelligence Unit gave top marks to South Korea, Germany, Singapore, Japan and Canada for their preparations “for the coming wave of intelligent automation.” Among the 25 countries reviewed, the U.S. was ranked ninth, just behind the U.K. The U.S. is likewise near the middle the pack of the 20 nations that have the most robots per worker. It has 217 robots for every 10,000 workers, compared with Singapore’s 831. This so-called robot density is 338 for Germany and 140 for China. The worldwide average is 99, according to the International Federation of Robotics.
8. What’s the case for this being a good thing?
History suggests that the worst fears of machines making humans obsolete don’t come true. In some quarters, AI and robotics are considered the Fourth Industrial Revolution, following other big transformations in the 18th, 19th and 20th centuries. And while displacement of jobs occurred in each wave of new technology, new jobs emerged to balance out some of the pain. Concern about technology-driven mass unemployment “has proven to be exaggerated” throughout history, University of Oxford academics Carl Benedikt Frey and Michael Osborne wrote in an influential 2013 paper. Rather, technological progress “has vastly shifted the composition of employment, from agriculture and the artisan shop, to manufacturing and clerking, to service and management occupations,” they wrote. A World Economic Forum survey concluded that while 75 million jobs may be displaced, “133 million new roles may emerge that are more adapted to” the division of labor among humans, machines and algorithms.
9. What’s the case for this being a bad thing?
This round of automation is different, critics say, because AI threatens not just physical labor but knowledge-based white-collar jobs. Darrell West, founding director of the Center for Technology Innovation at Brookings (and author of “The Future of Work: Robots, AI and Automation”) says the possibility of significant workforce disruption “should be taken seriously.” The median of recent studies, including from McKinsey and Oxford University, show 38% of jobs are susceptible, which could match the upheaval of the Great Depression.
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