In an opinion piece for The Washington Post, Senior Fellow Brian Deese and writer Anna Pasnau highlight the potential for AI infrastructure such as large data centers to increase jobs for electricians, welders and plumbers. “AI’s potential as a collaborator — ‘extending human judgment, enabling new tasks, and accelerating skill acquisition’ — is as significant as its capacity to automate,” they write.
Prof. Simon Johnson discusses the impact of AI on jobs in an interview with Financial Times (FT) reporters Delphine Strauss and Sam Fleming for the FT’s “Economists Exchange” series. “We are trying very hard at MIT to find ways to incorporate AI into the curriculum but to push harder on the entrepreneurship angle, the creation of new products and services, the development of critical thinking,” says Johnson.
In a study examining the impact of AI tools on software development, researchers from MIT and Wharton examined the work of more than 100,000 developers and found a significant gap between what AI tools generate and the amount of software delivered to companies. Writing for Quartz, reporter Anthony Lopopolo notes: “The upshot [of the research] is that AI and human effort aren't substitutes at any stage beyond raw code generation. You can't replace reviewing, testing, and release management with more lines of code.”
For The Atlantic, reporter Rogé Karma describes how Prof. David Autor and Principal Research Scientist Neil Thompson found a basic pattern for technological changes and job displacement based on the evolution of inventory clerk versus accounting clerk positions. “The story is almost never as simple as: We’re in a race with machines and machines will win,” says Autor. “What matters for a given profession is whether technology enhances a worker’s expertise or commodifies that expertise.”
Prof. Daron Acemoglu joins New York Times reporter Bill Wasik for a panel discussion about the impact of AI on job security and its potential to supplement work. “The current view is that somehow [AI] agents are going to do a lot of the work and we just need to supervise them,” says Acemoglu. “I find that very unrealistic. But if it was realistic, it would be a horrible thing.”
Wall Street Journal reporter Gary Rivlin speaks with Prof. Daron Acemoglu about the growing use of AI in the business world. “Whether you’re a CEO, a manager, a journalist, a professor or a construction worker, I see your skills as beyond what AI can perform,” says Acemoglu.
Financial Times reporter John Burn-Murdoch highlights a new study by Prof. Mert Demirer and colleagues that examines productivity levels among software developers work before and after they adopted AI tools. Burn-Murdoch notes the paper found that “AI delivers big productivity boosts for low-level tasks, but these translate into much smaller gains for final products.”
Manufacturing Dive reporter Cole Rosengren notes that a year after its launch, the MIT Initiative for New Manufacturing (INM) is “gaining traction toward its goal of helping modernize U.S. industrial systems.” Speaking at a Boston Tech Week event, Prof. John Hart, co-director of the INM, shared that at MIT, “we believe that there are important things we can do to help grow domestic manufacturing productivity, impart more sustainability in supply chains and industries, and also contribute to the creation of high-quality manufacturing jobs.”
Prof. Emeritus Paul Osterman speaks with Fortune reporter Marco Quiroz-Gutierrez about how a number of company layoff announcements recently have blamed the introduction of AI technologies for staff reductions. He notes that some layoffs are also likely tied to the increasing number of contract, gig and temporary workers used by employers, who can be cut at any moment. “We created a stable employment system of high wages and shared prosperity in the past,” he said. “That’s what we should be thinking about doing now.”
Writing for Bloomberg, Prof. Paul Osterman examines the rising use of contractors, freelancers and gig-workers by employers around the country. “While not all workers need to be forced into standard employment, they deserve some minimum level of protection and benefits—that includes gig workers and freelancers, who often don’t have any,” Osterman notes. “Workers need not pay a high price so employers can secure the flexibility they need.”
Prof. Sinan Aral speaks with Fast Company reporter Natalie Nixon about the risks of offloading creative work to AI systems. In one study, Aral and his colleagues found that with more creative work outsourced to AI, there was a resulting “slow homogenization of output that occurs when AI, trained on the same publicly available internet, starts flattening the edges that make creative work distinctive.” In another study, Aral’s team found, “cognitive offloading to AI (the act of outsourcing tasks you could do yourself) erodes the very skills you’re handing off.”
Prof. Asu Ozdaglar, head of EECS and deputy dean of academics for the MIT Schwarzman College of Computing, speaks with Kai Ryssdal of Marketplace about how MIT is preparing its students for the era of AI by teaching foundational skills that will enable them to find jobs in a variety of different sectors. The new Artificial Intelligence + Decision Making major (AI+D) teaches students about the “foundations of how to use this intelligence for enhancing human experience, human work, human education, all of those domains, so that no matter how the technology changes, these students can adapt their skills to the new set of tools and developments.”
Fortune reporter Preston Fore spotlights Principal Research Scientist Andrew McAfee’s remarks warning against using AI technologies to replace entry level jobs. “How else are people going to learn to do the job except via on-the-job learning and training apprenticeship?” said McAfee. “That’s how you learn to do difficult knowledge work is by helping somebody who’s good at that with the routine stuff. And when we put too much automation in that too quickly, we lose that apprenticeship ladder.”
Prof. Daron Acemoglu joins Slate’s “Money Talks” podcast to explain his research into pro-worker technologies and how we can not only avoid the AI job apocalypse but also improve workers’ lives by shifting the goal of AI from automation to collaboration. “Artificial intelligence is quite different than human intelligence,” says Acemoglu. “And when two things are different, a natural way to combine them is in a complimentary way.”
Profs. Daron Acemoglu and David Autor join Jon Stewart on his podcast, “The Weekly Show” to discuss what the future might look like for American workers and the importance of creating guardrails and policies that help ensure AI can be integrated in way that is positive for workers. “There’s constructive ways to steer. We don't need to shut it down. We don't need to regulate it to death so it can't move. The U.S. is innovative, and that's great. We have a lot to be proud of, in that we have led this technology. We're building it out quickly. It's valuable,” says Autor. “We need to steer it. Just left to its own…it’s not going to be pro-worker.”