Politics

Prof. Gary Gensler joins “Bloomberg Open Interest” to discuss what a change in the control of Congress could mean for financial regulation. “I think it will be a wide-ranging look at what the Trump administration has done to roll back protections for investors in our capital markets,” says Gensler. “Going further than [examining the shuttering of] the Consumer Protection Bureau, issues around housing and housing affordability I think are very much on Democrats’ minds. And then financial stability issues as well, whether it’s a close look at private credit and then what we might call the big AI trade—how everything is interconnected.”  

CNN reporter Hadas Gold meets with Prof. Adam Berinsky and Prof. Chara Podimata to learn more about their new tool that tracks how popular AI chatbots source their information and respond to questions related to the midterm elections. “Even if people do not necessarily say that they trust AI, they like what AI gives them, which is a single answer,” says Berinsky. “What worries me is that the average voter, someone who might know a little about politics, but doesn’t know the details, is going to get this definitive answer [from an AI chatbot] that might be based on a different stew of information.”

In a conversation with Slate’s Shirin Ali, Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, discusses a framework to help voters “see important red flags in the hours immediately following Election Day,” detailed in his new paper “The Day After: Threats and Guardrails in the 2026 Election.” “After Election Day, that’s where we’re thinking about getting the final count in,” says Stewart. “We shift into the formal process of canvassing the vote, certifying it, and making sure that we’ve named the winners.”  

An analysis by Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, found that requests for mail-in ballots were down in Georgia, Maine, North Carolina, Pennsylvania and Wisconsin earlier this month, reports Patrick Marley, Leslie Shapiro and Laura Meckler for The Washington Post. “Those five states can be more fully analyzed than others because they provide data showing how voting patterns compare with the same stage of the election cycle in 2022,” note Marley, Shapiro and Meckler. “In data collected four weeks before Election Day, requests were down most sharply in Georgia — by 50 percent compared with the same point in 2022.” 

Writing for Fortune, MIT Innovation Fellow David Siegel SM ’86, PhD ’91, Jeffrey Sonnenfeld and Stephen Henriques examine the timeline of the current investment boom in AI infrastructure. “The market may already have overbuilt relative to the payback window that data center financing assumes. Much of what corporate America spends on AI today funds exploratory pilots,” Siegel, Sonnenfeld and Henriques note. “A pullback to reassess is not only the likely next step, but a healthy one.”  

Prof. Gary Gensler speaks with “Bloomberg Surveillance” hosts Tom Keene and Paul Sweeney about how the current AI investment boom may impact the U.S. economy. “You can be positive about the technology and still say our capital markets tend to overfund in exuberance,” says Gensler. “I think that we will have a deceleration of this AI boom, and then some form of a reversal in the next 18 to 30 months. And the question really, to me, is a little bit about timing: when and then how deep it [the deceleration] is. I think the depth of it is going to be dependent on how much debt is in the system, where it is [and] who holds it.”  

Live on GBH’s “The Curiosity Desk,” hosted by Edgar B. Herwick III, Prof. Adam Berinsky joins Boston Globe reporter Aaron Pressman and Kate Gage from the Cooperative Lab Project for a conversation about the impact of AI on the 2026 midterm elections. Berinsky notes that in the runup to the midterms, voters “need to be careful about what they are paying attention to. I think we want to separate out what is new to AI and what is just communication in general,” says Berinsky. “In elections where margins are tens of thousands of votes in states that can determine the presidency, even really small effects matter.”  

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks to NPR’s “Morning Edition” about the surge in early voting among Americans in the midterm elections. The surge is reflecting “the enthusiasm of voters, but also, I think it has to be understood that a lot of this activity is also generated by the campaigns, getting out and motivating their voters to get to the polls or to return their mail-in-ballots,” says Stewart. “The political science research suggests that people who are voting early would have voted on Election Day had that mode not been available to them.” 

Prof. Charles Stewart III, director of MIT’s Election Data and Science Lab, speaks with Craig LeMoult during GBH’s “Morning Edition” about the electoral environment in Massachusetts. “I am somebody who thinks that activists tend to overestimate the importance and the effects of voting reforms,” says Stewart. “But having said that, I think that Massachusetts needs something to shake it up from the current electoral environment that it has.” 

Prof. Gary Gensler joins Tom Keene and Paul Sweeney, hosts of the “Bloomberg Surveillance Podcast” to discuss the impact of AI on the US fiscal market. “The AI trade that our capital market is hovering on top of is an investment boom that’s about twice what the internet was,” says Gensler. AI is “now about 2.5% of our economy—all of the data centers and so forth. [Major AI companies] are spending so much, but will it lead to the revenues to justify that spending?” 

Prof. Gary Gensler joins Bloomberg’s “Open Interest” to discuss the risks AI poses to the financial system,. “We’re spending about 2.5% of our gross domestic product on this AI build,” says Gensler. “When we have these booms, they plateau at some point; firms lose some of their pricing power, some of their growth, and you expose where the debt in the system is. Right now, there’s a lot of risk in this capital market.”  

Prof. Jonathan Gruber joins Edgar B. Herwick III, host of GBH’s “The Curiosity Desk” to discuss what factors into the U.S. Federal Reserve’s decision to raise interest rates for the first time since 2023. Federal Reserve members “are looking at things like tariffs, the tax on goods coming into this country. They’re looking at the war,” says Gruber. “We have, basically, these underlying forces driving inflation. In that case, the Fed has a mandate. The Fed’s job is to balance two forces: economic growth and inflation, and the way they balance them is by trying to keep inflation near a target of two percent.”  

A recent study by MIT researchers found that AI chatbots easily generated misleading election-related answers, images and videos, writes Emily Condon for USA Today. “This, along with other findings from our study, suggests that in an ongoing election with little authoritative information for models to rely on, AI may not be as helpful in pushing back against unsubstantiated rumors and misinformation,” the researchers explain.  

MIT researchers are leading a new project documenting what major AI systems say about elections in an effort to understand how the technology influences the democratic process, writes Tiffany Hsu for The New York Times. “AI is becoming part of the way people encounter and make sense of political information, and yet we know relatively little about what that information environment actually looks like, how it differs for different user demographics, political identities and geographies,” says Prof. Chara Podimata