Labor and jobs

Writing for Forbes, Andrew Binns highlights research from Prof. Daron Acemoglu suggesting total productivity gains of AI could be as little as 0.53% over 10 years, much lower than common estimates. 

Writing for The Boston Globe, Prof. Thomas Kochan explores how workers, unions, CEOs and politicians can all draw lessons from the Market Basket protests in 2014. "The key lesson for workers and unions is to draw on customers and citizens as allies and sources of power," writes Kochan. "If workers’ demands make sense, customers and community members will support them."

Prof. Thomas Kochan speaks with Boston Globe reporter Dana Gerber to reflect on the impact of 2014 Market Basket protests. Kochan, who co-authored a case study about the protests, says “it’s still the most unprecedented worker action that we’ve seen in our century. We’ve never seen a non-union group take action in support of their CEO, and hold that solidarity — from the executives to the clerks to the truck drivers — for six weeks. And to get the support of the customers was a remarkable achievement.”

Prof. William Deringer speaks with David Westin on Bloomberg’s Wall Street Week about the power of early spreadsheet programs in the 1980s financial services world. When asked to compare today’s AI in the context of workplace automation fears, he says “one thing we know from the history of technology - and certainly the history of calculation tools that I like to study – is that the automation of some of these calculations…doesn’t necessarily lead to less work.”

Research by Prof. David Autor finds that following the Covid-19 pandemic, wages for lower-paid US workers increased, reports Soumaya Keynes for The Financial Times. Autor and his colleagues found that people switching to better jobs served as a mechanism for boosting pay. 

In an excerpt from her new book, “The Mind’s Mirror: Risk and Reward in the Age of AI," Prof. Daniela Rus, director of CSAIL, addresses the fear surrounding new AI technologies, while also exploring AI’s vast potential. “New technologies undoubtedly disrupt existing jobs, but they also create entirely new industries, and the new roles needed to support them,” writes Rus.  

Prof. Daron Acemoglu speaks with NPR Planet Money hosts Greg Rosalsky and Darian Woods about the anticipated economic impacts of generative AI. Acemoglu notes he believes AI is overrated because humans are underrated. "A lot of people in the industry don't recognize how versatile, talented, multifaceted human skills and capabilities are," Acemoglu says. "And once you do that, you tend to overrate machines ahead of humans and underrate the humans."

Writing for Fortune, Prof. Daron Acemoglu explores the estimated scale of AI’s impact on the labor market and productivity. “The problem with the AI bubble isn’t that it is bursting and bringing the market down,” writes Acemoglu. “It’s that the hype will likely go on for a while and do much more damage in the process than experts are anticipating." 

Prof. Jonathan Gruber joins GBH’s All Things Considered to discuss stock market jitters, AI hype and interest rates, urging calm and a long-term view. “No one who’s in the market should be overreacting to one day’s movement,” Gruber says. “These short-run reactions are really overreactions to individual bits of news.”

Prof. Simon Johnson and Prof. David Autor speak with New York Times reporter Emma Goldberg about the anticipated impact of AI on the job market. “We should be concerned about eliminating them,” says Prof. Simon Johnson, of the risks posed by automating jobs. “This is the hollowing out of the middle class.”

In an essay for Project Syndicate, Prof. Simon Johnson underscores for the need for countries around the world to “make strategic investments in key technologies, to create more good jobs, and to stay ahead of increasingly aggressive geopolitical competitors.” Johnson emphasizes:  “If you want more good jobs, invest in science, facilitate the commercialization of the technology that results from it, and make it easy for people to build companies where the product was invented.” 

Forbes reporter Rodger Dean Duncan spotlights “The Skill Code: How to Save Human Ability in an Age of Intelligent Machines,” a new book by Research Affiliate Matt Bean SM '14, PhD '17. Duncan “explains Beane’s take on AI tools, collaboration and remote work, who suggests traditional mentoring is at risk in the workplace. Beane says today’s successful people have ‘discovered new tactics that others can use to get skills without throwing out the benefits of hybrid working arrangements.’”

A new working paper by Prof. Anna Stansbury and Research Associate Kyra Rodriguez looks at the “class gap” among US Ph.D.-holders in science, social science, engineering and health, reports Soumaya Keynes for the Financial Times. The paper found “those whose parents did not have a college degree are 13 per cent less likely to end up with tenure at a top university than those with more educated parents. They also tend to end up at lower-ranked institutions,” Keynes explains.

Institute Prof. Daron Acemoglu speaks with CNBC Last Call host Brian Sullivan about what he describes as exaggerated claims about the macroeconomic effects of AI. “I am completely convinced that there are some impressive changes and there are some things that AI can really help us with, but it's not going to suddenly revolutionize everything we do,” Acemoglu says. “And if it's going to do it, it's going to take a while.”

Research Scientist Eva Ponce, director of Online Education for the MIT Center for Transportation & Logistics, speaks with Supply Chain Management Review reporter Bridget McCrea about the growing demand for professional certifications in the field of supply chain management. “There’s going to be a bigger emphasis on ‘crafting your own educational pathway,’” says Ponce of the future of executive supply chain education, “and with more emphasis on lifelong learning.”