Guardian reporter Will Hutton spotlights “Power and Progress,” a new book by Institute Prof. Daron Acemoglu and Prof. Simon Johnson that makes the case that “the political struggle has consistently aimed to contain excessive inequality of wealth, and act collectively to share prosperity. It is successive waves of transformative technologies above all that bring the productivity gains that create great wealth, only for it to be captured by the incumbent elite.”
Researchers from MIT and elsewhere have found chance encounters among employees of different companies can kickstart innovation, reports Bart Ziegler for The Wall Street Journal. Researchers explained that such chance meetings “may spark a conversation that leads to a transfer of knowledge or a collaboration,” writes Ziegler.
Prof. Yossi Sheffi, director of the MIT Center for Transportation and Logistics, speaks with David Wade of WBZ News about AI and the future of work. "Jobs will change, clearly some jobs will disappear. I don't want to minimize it," says Sheffi. “Some jobs will disappear, but this is a very small number. Most of the impact of technology is to assist."
Prof. David Autor speaks with Greg Rosalsky of NPR’s Planet Money about the potential benefits and downsides of AI, sharing his hope that with the right policies in place to help prepare workers AI could be harnessed to help “reinstate the middle class.” Says Autor: "Basically, the middle-skilled workers of the future could be people who have foundational skills in healthcare, in the trades, in travel and services. Then, with the help of AI, they could get really good at these jobs.”
Wired reporter Caitlin Harrington writes that a study by researchers from MIT and Stanford highlights the impact of generative AI tools on workers and raises a “provocative new question: Should the top workers whose chats trained the bot be compensated?”
Researchers from MIT have found that “although women received higher performance ratings than their male colleagues, they received 8.3% lower ratings for potential than men,” reports Caroline Castrillon for Forbes. “Because those ratings strongly predict promotions, female employees were 14% less likely to be promoted than male ones,” writes Castrillon.
Writing for The Los Angeles Times, Institute Prof. Daron Acemoglu and Prof. Simon Johnson make the case that the development of artificial intelligence should be shifted “toward a focus on ‘machine usefulness,’ the idea that computers should primarily enhance human capabilities. But this needs to be combined with an explicit recognition that any resulting productivity gains must be shared with workers, in terms of higher incomes and better working conditions.”
Prof. Simon Johnson and Prof. Yossi Sheffi speak with Boston 25 about the potential impact of AI on the labor market. “We need people to have what’s called soft skills,” says Sheffi. “They need to be able to convince people, manage people, work with people, partner with people.” Johnson notes while there are still fields that are safe bets, but notes that the speed with which [AI] is moving and currently the acceleration is really dramatic.”
Researchers from MIT and elsewhere have tested the impact of generative AI among 5,000 customer service agents within a Fortune 500 software company, reports Jo Constantz for Bloomberg. “The company’s lowest-skilled workers became 35% faster with the tool,” explains Constantz. “The researchers think this was because the AI essentially transferred top performers’ knowledge to less-experienced colleagues through the automatically-generated recommended responses.”
Prof. Danielle Li, graduate student Lindsey Raymond and Stanford University Prof. Erik Brynjolfsson released an “empirical study of the real-world economic effects of new AI systems,” reports Greg Rosalsky for NPR. The researchers found “AI caused a group of workers to become much more productive.” Rosalsky adds that the study also “shines a spotlight on just how powerful AI is, how disruptive it might be, and suggests that this new, astonishing technology could have economic effects that change the shape of income inequality going forward.”
Prof. Yossi Sheffi joins Bloomberg Business Hour to discuss the impact of artificial intelligence on businesses, supply chain management, and risk management. “In general, over the last 50 years, supply chain has changed dramatically, infusing more and more technology into the operation,” says Sheffi.
Researchers from MIT and Stanford have found that “artificial intelligence tools like chatbots helped boost worker productivity at one tech company by 14%” reports Jennifer Liu for NBC Boston. “The study is thought to be the first major real-world application of generative AI in the workplace,” writes Liu. “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.”
Prof. Zeynep Ton established the “Good Jobs Institute” to improve the quality of frontline jobs, reports Adrian Wooldridge for Bloomberg.
Researchers from MIT and elsewhere have found that experienced workers might be more impacted by ChatGPT, reports Mack DeGeurin for Gizmodo. “Customer support agents using a generative AI conversation assistant in a new study saw a 14% uptick in productivity compared to others who didn’t use the tool,” writes DeGeurin.
Forbes contributor Joe McKendrick spotlights Prof. Yossi Sheffi’s new book, “The Magic Conveyor Belt: Supply Chains, AI, and the Future of Work.” McKendrick writes that Sheffi emphasizes the need to "better understand the supply chains on which our businesses and society depend, and our conception of supply chains needs to be broadened — from product and parts delivery networks to the very essence of organizations themselves.”