On Monday, a Nobel Prize-winning economist cautioned that while artificial intelligence presents “incredible opportunities,” it requires regulation due to its potential to eliminate jobs.
Peter Howitt, a Canadian professor emeritus at Brown University in the U.S., expressed these concerns as anxiety grows over AI’s societal and labor market effects.
In a groundbreaking move, California Governor Gavin Newsom enacted a law regulating AI chatbot interactions, challenging the White House’s stance for unregulated technology.
Howitt, one of three economists recognized by the Royal Swedish Academy of Sciences for their research on technology’s role in economic growth, spoke on the issue.
His collaborative work with fellow laureate Philippe Aghion from France delved into “creative destruction,” where new, superior products oust older ones in the market.
At a press conference, Howitt noted the uncertainty surrounding AI leadership and its “creative destruction” outcomes.
“It’s an extraordinary technology with vast potential. However, it also poses a significant risk of replacing skilled labor. This conflict necessitates regulation,” he emphasized.
“In an unregulated market, private incentives won’t resolve this conflict optimally for society, and the outcomes remain uncertain,” he added.
Howitt, 79, described this era as a “pivotal point in human history,” comparing it to past technological advances like the telecom boom, electricity, and steam power innovations.
He remarked that these advancements showed technology’s ability to complement rather than substitute labor. “How we manage it this time remains uncertain,” he admitted.
Joel Mokyr, the third economist honored, held a more optimistic view of AI’s impact on jobs.
“Machines shift us to more engaging, challenging roles,” Mokyr, 79, stated during a live-streamed conference from Northwestern University near Chicago. “Technological shifts not only replace jobs but create new opportunities.”
Mokyr received his Nobel for exploring “sustained growth through technological progress.”
He expressed concern not over “technological unemployment” but potential labor shortages as the population ages.
Reflecting on their 1992 paper on creative destruction, Howitt recalled its five-year publication struggle but remembered Aghion’s early confidence in their groundbreaking work.
“From our first study in 1987, Philippe predicted a Nobel Prize. I was skeptical, but he insisted, ‘Our time will come.’ Now, it finally has,” Howitt recounted.
