LOS ANGELES (CBS/AP) — Ask for a roast beef sandwich at an Arby’s drive-thru east of Los Angeles and you may be talking to Tori — an artificially intelligent voice assistant that will take your order and send it to the line cooks.
“It doesn’t call sick,” says Amir Siddiqi, whose family installed the AI voice at its Arby’s franchise this year in Ontario, California. “It doesn’t get corona. And the reliability of it is great.”
The pandemic didn’t just threaten Americans’ health when it slammed the U.S. in 2020 — it may also have posed a long-term threat to many of their jobs. Faced with worker shortages and higher labor costs, companies are starting to automate service sector jobs that economists once considered safe, assuming that machines couldn’t easily provide the human contact they believed customers would demand.
Past experience suggests that such automation waves eventually create more jobs than they destroy, but that they also disproportionately wipe out less skilled jobs that many low-income workers depend on. Resulting growing pains for the U.S. economy could be severe.
If not for the pandemic, Siddiqi probably wouldn’t have bothered investing in new technology that could alienate existing employees and some customers. But it’s gone smoothly, he says: “Basically, there’s less people needed but those folks are now working in the kitchen and other areas.”
Ideally, automation can redeploy workers into better and more interesting work, so long as they can get the appropriate technical training, says Johannes Moenius, an economist at the University of Redlands. But although that’s happening now, it’s not moving quickly enough, he says.
Worse, an entire class of service jobs created when manufacturing began to deploy more automation may now be at risk. “The robots escaped the manufacturing sector and went into the much larger service sector,” he says. “I regarded contact jobs as safe. I was completely taken by surprise.”
Improvements in robot technology allow machines to do many tasks that previously required people — tossing pizza dough, transporting hospital linens, inspecting gauges, sorting goods. The pandemic accelerated their adoption. Robots, after all, can’t get sick or spread disease. Nor do they request time off to handle unexpected childcare emergencies.
As KPIX reported last year, robot food service was a trend even before the coronavirus pandemic as hospitals, campus cafeterias and others tried to meet demand for fresh, customized options 24 hours a day while keeping labor costs in check. Robot chefs appeared at places like Creator, a burger restaurant in San Francisco, and Dal.komm Coffee outlets in South Korea.
Prior to 2020, Hayward-based tech company Chowbotics had sold around 125 of its $35,000 robots, primarily to hospitals and colleges. Soon after the coronavirus hit, sales jumped more than 60%, CEO Rick Wilmer said, with growing interest from grocery stores, senior living communities and even the U.S. Department of Defense.
Economists at the International Monetary Fund found that past pandemics had encouraged firms to invest in machines in ways that could boost productivity — but also kill low-skill jobs. “Our results suggest that the concerns about the rise of the robots amid the COVID-19 pandemic seem justified,” they wrote in a January paper.
The consequences could fall most heavily on the less-educated women who disproportionately occupy the low- and mid-wage jobs most exposed to automation — and to viral infections. Those jobs include salesclerks, administrative assistants, cashiers and aides in hospitals and those who take care of the sick and elderly.
Employers seem eager to bring on the machines. A survey last year by the nonprofit World Economic Forum found that 43% of companies planned to reduce their workforce as a result of new technology. Since the second quarter of 2020, business investment in equipment has grown 26%, more than twice as fast as the overall economy.
The fastest growth is expected in the roving machines that clean the floors of supermarkets, hospitals and warehouses, according to the International Federation of Robotics, a trade group. The same group also expects an uptick in sales of robots that provide shoppers with information or deliver room service orders in hotels.
Restaurants have been among the most visible robot adopters. In late August, for instance, the salad chain Sweetgreen announced it was buying kitchen robotics startup Spyce, which makes a machine that cooks up vegetables and grains and spouts them into bowls.
It’s not just robots, either — software and AI-powered services are on the rise as well. Starbucks has been automating the behind-the-scenes work of keeping track of a store’s inventory. More stores have moved to self-checkout.
Scott Lawton, CEO of the Arlington, Virginia-based restaurant chain Bartaco, was having trouble last fall getting servers to return to his restaurants when they reopened during the pandemic.
So he decided to do without them. With the help of a software firm, his company developed an online ordering and payment system customers could use over their phones. Diners now simply scan a barcode at the center of each table to access a menu and order their food without waiting for a server. Workers bring food and drinks to their tables. And when they’re done eating, customers pay over their phones and leave.
The innovation has shaved the number of staff, but workers aren’t necessarily worse off. Each Bartaco location — there are 21 — now has up to eight assistant managers, roughly double the pre-pandemic total. Many are former servers, and they roam among the tables to make sure everyone has what they need. They are paid annual salaries starting at $55,000 rather than hourly wages.
Tips are now shared among all the other employees, including dishwashers, who now typically earn $20 an hour or more, far higher than their pre-pandemic pay. “We don’t have the labor shortages that you’re reading about on the news,” Lawton says.
The uptick in automation has not stalled a stunning rebound in the U.S. jobs market — at least so far.
The U.S. economy lost a staggering 22.4 million jobs in March and April 2020, when the pandemic gale hit the U.S. Hiring has since bounced back briskly: Employers have brought back 17 million jobs since April 2020. In June, they posted a record 10.1 million job openings and are complaining that they can’t find enough workers.
Behind the hiring boom is a surge in spending by consumers, many of whom got through the crisis in unexpectedly good shape financially — thanks to both federal relief checks and, in many cases, savings accumulated by working from home and skipping the daily commute.
Mark Zandi, chief economist at Moody’s Analytics, expects employers are likely to be scrambling for workers for a long time.
For one thing, many Americans are taking their time returning to work — some because they’re still worried about COVID-19 health risks and childcare problems, others because of generous federal unemployment benefits, set to expire nationwide Sept. 6.
In addition, large numbers of Baby Boom workers are retiring. “The labor market is going to be very, very tight for the foreseeable future,” Zandi says.
For now, the short-term benefits of the economic snapback are overwhelming any job losses from automation, whose effects tend to show up gradually over a period of years. That may not last. Last year, researchers at the University of Zurich and University of British Columbia found that the so-called jobless recoveries of the past 35 years, in which economic output rebounded from recessions faster than employment, could be explained by the loss of jobs vulnerable to automation.
Despite strong hiring since the middle of last year, the U.S. economy is still 5.3 million jobs short of what it had in February 2020. And Lydia Boussour, lead U.S. economist at Oxford Economics, calculated last month that 40% of the missing jobs are vulnerable to automation, especially those in food preparation, retail sales and manufacturing.
Some economists worry that automation pushes workers into lower-paid positions. Daron Acemoglu, an economist at the Massachusetts Institute of Technology, and Pascual Restrepo of Boston University estimated in June that up to 70% of the stagnation in U.S. wages between 1980 and 2016 could be explained by machines replacing humans doing routine tasks.
“Many of the jobs that get automated were at the middle of the skill distribution,” Acemoglu says. “They don’t exist anymore, and the workers that used to perform them are now doing lower-skill jobs.”
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