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It's why top researchers are looking to the past as a guide to predict how generative AI could affect workers' jobs in the years and decades to come. "It's possible that in the end, we get better jobs, but in the short term, there's a lot of disruption," Mollick said. But Raymond warned that AI could produce some less-desirable outcomes for customer-service workers, particularly if customer-support chatbots become much more capable and advanced. The extent to which AI displaces jobs will depend on how quickly it scales what Mollick calls the "three levels" of work: tasks, jobs, and systems. Instead, what I would be thinking about is: How do you figure out how to use it to do your job better?"
Persons: Ethan Mollick, Mollick, Carl Benedikt Frey —, Frey, Lindsey Raymond —, , Raymond, that's, chatbots, Oded, There's Organizations: Service, University of Pennsylvania's Wharton School, MIT Sloan School of Management, White, National Bureau of Economic Research Locations: Wall, Silicon, Oxford, COVID, Columbia
The study is thought to be the first major real-world application of generative AI in the workplace. Researchers measured productivity of more than 5,000 customer support agents, based primarily in the Philippines, at a Fortune 500 enterprise software firm over the course of a year. In some cases, using AI trumped having real-life work experience: Customer service agents with two months of experience who used AI support performed as well or better than agents with over six months of experience working without AI. Meanwhile, the use of AI tools showed a minimal impact on "experienced or highly skilled workers," the authors note, and at times served as a distraction. AI support can be especially helpful to entry-level or early-career workers, says Lindsey Raymond, an MIT Ph.D. candidate and co-author of the paper.
Persons: chatbots, Lindsey Raymond, Raymond Organizations: Stanford, MIT, Bloomberg, Fortune, Tech Locations: Philippines
Total: 2