The Democratic Socialists of America (DSA) candidates running for the House of Representatives and endorsed by NYC Mayor Zohran Mamdani are all but guaranteed to win their general elections this November, but that does not mean the midterm drama is over in New York. In the state's 17th congressional district, which includes the lower Hudson Valley, Democratic challenger Cait Conley, a combat veteran who served on the Biden administration's National Security Council, could unseat incumbent Republican congressman Mike Lawler in one of the most consequential races of the midterms. 

The highly contested purple district voted for former Vice President Kamala Harris in the 2024 election while reelecting Lawler for his second term. Now, Lawler is attempting to win a third term as support for President Donald Trump wanes ahead of the midterms. As of Friday, The Cook Political Report lists the race, which could determine control of the House, as a toss-up. 

If elected, Conley would have far more in common with the "Badass Women" coalition of security state and military veterans than with DSA types (think more Sen. Elissa Slotkin from Michigan than Darializa Avila Chevalier). As Judge Street Journal's Timmy Facciola notes, "Conley's candidacy is testing the viability of a tactful centrism that rebukes left-wing positions like abolishing ICE or restricting weapon shipments to Israel." Lawler is also vying for moderates, pitching himself as "one of the most bipartisan members of Congress" and emphasizing his willingness to break with Trump occasionally while still welcoming Trump's support. 

While Lawler and Conley certainly are not pure MAGA acolytes or DSA members, both have leaned into a tech-critical position, much like that of more radical populists like Lina Khan or Steve Bannon, revealing how pervasive anti-tech sentiment has become in mainstream politics. 

This tech skepticism was on full display during an October 14 debate, when each candidate made the case for why they were the most equipped to regulate AI, insisting that the industry needs guardrails. 

Conley said members of Congress do not want to regulate AI because "they want to look out for their billionaire and trillionaire backers like Elon Musk, who is pouring over $260 million into this midterm election." She then added that Musk backed Lawler in his 2024 race. 

Lawler then accused Conley, who previously consulted for Primer AI, of being "the AI candidate for the AI industry."

While Lawler and Conley disagree on specific data center regulations (Conley supports Democratic Gov. Kathy Hochul's data center moratorium while Lawler supports local zoning control over data centers), neither wants to pitch themselves as an explicitly pro-data center candidate. During the debate, Conley claimed that, "On Mike Lawler's watch there have been five data centers built in Rockland County." Lawler has said that he had no say in the decision to build the data centers, and during the debate, he pointed out that the facilities were built for financial services. Lawler also attempted to attack Conley over data centers, slamming her in an ad for saying "we need data centers." Regardless of the candidates' specific policies on data centers, their attacks on one another demonstrate that cheerleading hyperscale data center development is a political liability. In their district, data center has presumably become a dirty term. 

The candidates' tech-skeptical rhetoric did not end with unchecked data center development. After the debate, Reason asked both candidates about their positions on age-verification laws for social media and AI, since such regulations raise significant privacy and censorship concerns by age-gating the internet. Unsurprisingly, both Lawler, who voted for the controversial KIDS Act, and Conley, who has proposed stricter age verification for AI tools, parroted platitudes about why such online safety regulations are necessary to protect children. 

"We have watched how social media is literally hurting the mental health of children," Conley told Reason. "And when you talk about the power of AI and what that power could do, we have to regulate this." 

Lawler gave a similar response, telling Reason that he respects free speech but that protecting children "is paramount." 

This bipartisan consensus over social media regulation has long been brewing in Congress. The mainstream political conversations about AI and data centers, however, are relatively new this midterm election cycle. And it appears both Lawler and Conley have figured out which way Americans' sentiment toward AI is leaning, and they have waged their campaigns accordingly. 

The post Nobody Wants To Be the Pro-Tech Candidate in This New York Race That Could Flip the House appeared first on Reason Magazine.

As the Trump administration's short-lived Department of Government Efficiency (DOGE) project implemented its plan to downsize the federal workforce, there was much wailing from the liberal institutions in Washington, D.C.

Federal employee unions filed lawsuits to block the effort. NPR ran profiles of federal workers who, for the first time, faced the prospect of potentially not having absolute job security forever. The Brookings Institution wondered how many jobs the federal government could shed before it crashes.

The answer: plenty. The Trump administration has cut more than 10 percent of the federal workforce, and the government hasn't crashed. Indeed, it hasn't even shrunk—if you're counting by dollars spent instead of people employed.

In a new article for City Journal, Manhattan Institute senior fellow Judge Glock highlights the tremendous gap between the dire predictions about DOGE's cuts and the reality that has emerged, more than a year after DOGE was shut down. Despite having only a modest impact on spending, Glock writes, DOGE "had a massive impact on the federal civil service."

This is true—to a point, more on that in a moment—and notable. Aside from a modest downsizing in the 1990s, the number of people employed by the federal government has been steadily growing for decades. Reversing that trend is one of the few genuinely libertarian accomplishments by the Trump administration.

The cuts to the federal workforce prove that "DOGE worked," argues Glock.

Well, hold on.

Elon Musk and Vivek Ramaswamy (who departed the DOGE project before Trump's inauguration and is now running for governor of Ohio) set some very ambitious goals after being appointed DOGE co-chairs in late 2024. In an op-ed for The Wall Street Journal in November 2024 where they promised "we won't just write reports or cut ribbons. We'll cut costs."

Musk repeatedly attached some rather absurd numbers to that promise. He said DOGE would cut $1 trillion or even $2 trillion in federal spending. In the end, it didn't come close. By DOGE's own (questionable) accounting, it cut $170 billion. Meanwhile, overall federal spending has increased in each of Trump's first two years in office, and the budget deficit has widened as well.

Yes, Musk and Ramaswamy also said they would reduce the federal workforce. But that was presented as a natural consequence of cutting spending, not as the primary goal.

Think about it like this. If I spent months promising my friends and family that I would lose 50 pounds on a new diet, and then didn't lose any weight, would it be fair to say the diet worked?

What if I reduced the number of donuts I eat every day, but still didn't lose any weight? Sure, that might be good for my health in some way—just like reducing unnecessary workers in the federal government is good for America's fiscal health—but it certainly wouldn't mean I had achieved the goal of losing weight.

Finally, even the claim that DOGE cut the federal workforce requires an asterisk. As Glock also notes in his report, the decline in federal workers has been offset by an increase in federal contractors.

It's not a one-for-one trade, of course. The new contractors are overwhelmingly concentrated in places like the Department of Homeland Security and the Pentagon, while the cuts mostly targeted other areas, like the Department of Health and Human Services.

"Most of that increase came from the buildup in homeland-security and defense contracting, including purchases such as surveillance aircraft and tanks, rather than substitutes for government workers," Glock writes. "DOGE achieved real contract savings, but these were more than offset by higher spending elsewhere, reflecting a shift in priorities rather than an overall reduction in contracting."

So, the government is eating fewer donuts but more pizza.

There might be libertarian reasons to prefer contractors over government employees. They are less likely to hold those jobs for life, for one. But there's nothing inherently good about a government policy that cuts jobs in some areas just to create more room in the budget for poorly trained immigration enforcement agents and defense contractors. That may even be a negative outcome for liberty.

In the end, the DOGE project looks less like a meaningful attempt at cutting government spending or employment levels and more like a way to purge parts of the federal workforce likely to get in Trump's way during his second term. "As long as [Trump's] larger commitment is to extending his power rather than rolling back power itself, you shouldn't expect the government to stop growing," as Reason's Jesse Walker wrote last year in comparing DOGE to President Richard Nixon's attempted purge of the civil service.

Did DOGE work? Only if you grade it on a pretty dramatic curve.

Yes, it proved that a president can slash bureaucratic jobs—particularly the bloated managerial and administrative types—without doing much damage to the government's core responsibilities. That's a lesson future administrations should remember.

Maybe, someday, a president will try applying the same logic to government spending too.

The post DOGE Worked? Only If You Grade on a Curve. appeared first on Reason Magazine.