The paper is all the more significant because the researchers had been more sanguine about the effect of technology on jobs. In a paper last year, they said it was likely that increased automation would create new, better jobs, so employment and wages would eventually return to their previous levels. Just as cranes replaced dockworkers but created related jobs for engineers and financiers, the theory goes, new technology has created new jobs for software developers and data analysts.
But that paper was a conceptual exercise. The new one uses real-world data — and suggests a more pessimistic future. The researchers said they were surprised to see very little employment increase in other occupations to offset the job losses in manufacturing. That increase could still happen, they said, but for now there are large numbers of people out of work, with no clear path forward — especially blue-collar men without college degrees.The paper also helps explain a mystery that has been puzzling economists: why, if machines are replacing human workers, productivity hasn’t been increasing. In manufacturing, productivity has been increasing more than elsewhere — and now we see evidence of it in the employment data, too. The study analyzed the effect of industrial robots in local labor markets in the United States. Robots are to blame for up to 670,000 lost manufacturing jobs between 1990 and 2007, it concluded, and that number will rise because industrial robots are expected to quadruple. The paper adds to the evidence that automation, more than other factors like trade and offshoring that President Trump campaigned on, has been the bigger long-term threat to blue-collar jobs. The researchers said the findings — “large and robust negative effects of robots on employment and wages” — remained strong even after controlling for imports, offshoring, software that displaces jobs, worker demographics and the type of industry. Source: NYT