Study finds stronger links between automation and inequality
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Modern technology affects different workers in different ways. In some white-collar jobs—designer, engineer—people become more productive with sophisticated software at their side. In other cases, forms of automation have simply replaced factory workers, receptionists, and many other kinds of employees.
A new study suggests automation has a bigger impact on the labor market and income inequality than previous research would indicate–and identifies the year 1987 as a key inflection point in this process, the moment when jobs lost to automation stopped being replaced by an equal number of similar workplace opportunities.
What the researchers say: “Automation is critical for understanding inequality dynamics,” said the co-author of a paper detailing the findings.
Within industries adopting automation, the study shows, the average “displacement” (or job loss) from 1947-1987 was 17 percent of jobs, while the average “reinstatement” (new opportunities) was 19 percent. But from 1987-2016, displacement was 16 percent, while reinstatement was just 10 percent. In short, those factory positions or phone-answering jobs are not coming back.
“A lot of the new job opportunities that technology brought from the 1960s to the 1980s benefited low-skill workers,” he adds. “But from the 1980s, and especially in the 1990s and 2000s, there’s a double whammy for low-skill workers: They’re hurt by displacement, and the new tasks that are coming, are coming slower and benefiting high-skill workers.”
In the study the researchers construct a model of technology’s effects on the labor market, while testing the model’s strength by using empirical data from 44 relevant industries. (The study uses U.S. Census statistics on employment and wages, as well as economic data from the Bureau of Economic Analysis and the Bureau of Labor Studies, among other sources.)
The result is an alternative to the standard economic modeling in the field, which has emphasized the idea of “skill-biased”technological change. It was thought that technology tends to benefit select high-skilled workers more than low-skill workers, helping the wages of high-skilled workers more, while the value of other workers stagnates. Think again of highly trained engineers who use new software to finish more projects more quickly: they become more productive and valuable, while workers lacking synergy with new technology are comparatively less valued.
However, the present researchers, and others that I have spoken to, think even this scenario, with the prosperity gap it implies, is still too benign. Where automation occurs, lower-skill workers are not just failing to make gains; they are actively pushed backward financially. Moreover, they note, the standard model of skill-biased change does not fully account for this dynamic; it estimates that productivity gains and real (inflation-adjusted) wages of workers should be higher than they actually are.
More specifically, the standard model implies an estimate of about two percent annual growth in productivity since 1963, whereas annual productivity gains have been about 1.2 percent; it also estimates wage growth for low-skill workers of about one percent per year, whereas real wages for low-skill workers have actually dropped since the 1970s.
“Productivity growth has been lackluster, and real wages have fallen,” said the lead author. “Automation accounts for both of those.” Moreover, he adds, “Demand for skills has gone down almost exclusively in industries that have seen a lot of automation.
Indeed, he says, automation is a special case within the larger set of technological changes in the workplace. As he puts it, automation “is different than garden-variety skill-biased technological change,” because it can replace jobs without adding much productivity to the economy.
Think of a self-checkout system in your supermarket: It reduces labor costs without making the task more efficient. The difference is the work is done by you, not paid employees. These kinds of systems are what the researchers have termed “so-so technologies,” because of the minimal value they offer.
“So-so technologies are not really doing a fantastic job, nobody’s enthusiastic about going one-by-one through their items at checkout, and nobody likes it when the airline they’re calling puts them through automated menus,” they remarked. “So-so technologies are cost-saving devices for firms that just reduce their costs a little bit but don’t increase productivity by much. They create the usual displacement effect but don’t benefit other workers that much, and firms have no reason to hire more workers or pay other workers more.”
To be sure, not all automation resembles self-checkout systems, which were not around in 1987. Automation at that time consisted more of printed office records being converted into databases, or machinery being added to sectors like textiles and furniture-making. Robots became more commonly added to heavy industrial manufacturing in the 1990s. Automation is a suite of technologies, continuing today with software and AI, which are inherently worker-displacing.
“Displacement is really the center of our theory,” the researchers said. “And it has grimmer implications because wage inequality is associated with disruptive changes for workers. It’s a much more Luddite explanation. Luddism maybe synonymous with technophobia, but their actions were motivated by economic concerns; they knew machines were replacing their jobs. That same displacement continues today, although, the lead author contends, the net negative consequences of technology on jobs is not inevitable. We could, perhaps, find more ways to produce job-enhancing technologies, rather than job-replacing innovations.
“It’s not all doom and gloom,” said the researchers. “There is nothing that says technology is all bad for workers. It is the choice we make about the direction to develop technology that is critical.”
So, what? Amen to that last bit. The more job-destroying technology we have the deeper we dig the burial pit of capitalism according to Nobel laureate winner Paul Krugman. He’s right of course, which is why I list unregulated AI and automation as one of the five horsemen of the modern apocalypse.
Maybe one of the immediate answers is Bill Gates’ suggestion of a tax on all machines or AI which replace human labor—presumably at a rate equal the pay of those displaced. That revenue could be used to fund the social wage which inevitably must come.
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Study finds stronger links between automation and inequality
In some white-collar jobs—designer, engineer—people become more productive with sophisticated software at their side. In other cases, forms of automation have simply replaced factory workers, receptionists, and many other kinds of employees.
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