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How the automation economy turns workers into robots

NEW YORK (Axios): More than outright destroying jobs, automation is changing employment in ways that will weigh on workers.

The big picture: Right now, we should be less worried about robots taking human jobs than people in low-skilled positions being forced to work like robots.

What’s happening: In a report released late last week about the post-COVID-19 labor force, McKinsey predicted 45 million U.S. workers would be displaced by automation by the end of the decade, up from 37 million projected before the pandemic.

That increase is a function both of permanent changes in the economy because of the pandemic — less business travel and more remote work — as well as an acceleration in investment in automation and AI.

Yes, but: McKinsey notes that despite the displacements, the total number of jobs is projected to increase.

“We often first think of the substitution argument, but throughout history, complementation or augmentation [with automation] has been much more important, and I think that’s going to be true for the next decade,” says Erik Brynjolfsson, a senior fellow at the Stanford Institute for Human-Centered AI.

The catch: McKinsey finds that while the total number of jobs will increase, “nearly all net job growth over the next decade is projected to be in high-wage occupations” — which is not good news for workers with low job skills.

And there are a lot of them — a 2016 OECD report found 14% of the U.S. working-age population had low literacy skills, 23% had low numeracy skills and 62% had low digital problem-solving skills.

Zoom in: To better understand the effect of automation on employees in low-skilled jobs, Brynjolfsson and Matt Beane of the University of California-Santa Barbara (UCSB) have been carrying out detailed studies of one field that has experienced tremendous employment growth recently: e-commerce warehouses.

Beane and Brynjolfsson are working with companies commercializing AI-enabled robotics in pick-and-pack facilities to determine how e-commerce warehouses are instituting automation, and how front-line workers are adapting to it.

Details: Some of their early findings underscore why simply introducing robots — especially in jobs that involve a lot of unpredictable, fine manual work — doesn’t instantly lead to wholesale job destruction.

Economic productivity after the introduction of automation and AI tends to follow a J-curve — remaining static or even dipping as companies spend time and money to adapt to technology, before rising rapidly once the implementation phase is completed.

Between the lines: But what they have discovered during detailed interviews with e-commerce employees and visits to warehouses is that humans themselves are already working in more automated ways.

“Warehouses” — which have very narrow profit margins — “have engineered the environment to make the human ability to cope with uncertainty as close as possible to automation,” says Beane. “They want fewer skilled touches over time to make money.”

That in of itself isn’t new, but for e-commerce warehouse workers — often in geographically isolated locations, working long shifts, and unable to effectively unionize — that means there is “no energy or time to learn the new skills” that would help them get ahead of automation.

“You are essentially a robot while doing this job,” says Beane. But what might be worse is the way that human workers “become institutionalized to that robotic job by the constraints of the environment.”

What to watch: How quickly industrial robots are developed that can handle the uncertainty and fine manual work of e-commerce warehouses as well as human laborers.

The bottom line: Without better government support, U.S. employees with low job skills increasingly face a future of working like a robot — if at all.

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The Frontier Post

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