AI may take your job, but it may ultimately create more positions than it eliminates.
At least, that’s what economists at Goldman Sachs are banking on. Researchers at the investment bank published a report in late February predicting AI would not cause a “job apocalypse.”
Instead, they outlined an optimistic case for the effect of artificial intelligence software on the labor market in which the technology takes over millions of jobs, but millions more are created to make up for them, keeping unemployment low.1
The paper was something of a rebuttal to a viral report from Citrini Research that rattled markets by outlining a scenario in which AI software replaces so many human workers that it crashes the economy.2
Goldman did not disagree that AI could be massively disruptive. The technology will displace anywhere from 1 million to just over 4 million jobs annually in the years ahead, Joseph Briggs, global economist for Goldman, wrote. Despite that, Goldman does not believe AI will significantly raise the unemployment rate.
“The U.S. economy creates more than 30 million gross new jobs per year, and technological change is the main driver of long-run employment growth,” Briggs wrote. “We expect that these dynamics will repeat and AI will create new jobs while it destroys others. We therefore do not anticipate a job apocalypse.”
AI could create jobs by improving efficiency, opening up new positions for people to use AI tools, and creating demand for service workers by boosting incomes, he wrote.
Indeed, Briggs dug through economic data and found no evidence that AI has, so far, caused significant job losses outside a few specific occupations, such as software development. He also argued that just because AI can do a job doesn’t mean humans won’t still be needed, even for the very same role, if history is any guide.
“Employment of fitness instructors (who were replaceable in the 1980s by fitness tapes and even more so today with the proliferation of fitness apps) and real estate agents (whose role as an intermediary has largely been replaced by online platforms) has outperformed overall employment both recently and over the last 25 years,” he wrote.
Overall, Goldman laid out a scenario for AI that repeats the pattern of past technological advancements, citing the research of MIT professor David Autor, who found that 60% of the jobs in 2018 did not exist in 1940.3