© Anna Rose Layden/Reuters
© Manuel Orbegozo for The New York Times
Welcome to The Midterms, Actually. Every week I’ll be writing about two things: one big idea or trend I see forming across the 2026 primaries, and one thing I’m hearing from a voice on the ground. You can sign up here to get it in your inbox every week. Let’s get into it.
This week, OpenAI CEO Sam Altman acknowledged a small hurdle in his quest to integrate artificial intelligence into all parts of human life and the economy: the rest of us.
In an episode of the Founders podcast with David Senra, Altman confronted the growing public backlash against tech leaders and their AI tools, conceding that he’d overrated the speed at which they’d be adopted across the economy and that the industry hasn’t made its case to the public.
“We have not, as a field, done a very good job of explaining to people what the benefits are and how the downsides can be mitigated,” Altman said. He added that “it’s probably a good feature of human society that we have some built-in inertia, some skepticism of rapid change.”
You think?
Survey after survey shows how deep — and how bipartisan — the backlash against AI, and specifically data centers, already runs. The pressure has been building all year: A Gallup poll in March) found that 71 percent of Americans said they oppose building AI data centers in their area — 48 percent of them strongly. That opposition runs across the aisle: 75 percent of Democrats, 74 percent of independents, and 63 percent of Republicans. For perspective, Americans are more opposed to a data center going up near them than a nuclear power plant (53 percent). This is not some fringe opposition. It is a consensus.
The shift is already scrambling candidates’ positions ahead of the midterms, where data centers, artificial intelligence, and the future of work will be front and center. Michigan Democrat Abdul El-Sayed’s refusal to back a data center moratorium (which he reiterated on America, Actually) has given Republicans an opportunity. His opponent in Michigan, GOP Senate candidate Mike Rogers, recently came out for a one-year moratorium — an attempt to get to the left of El-Sayed (!). The shift reflects our new political reality. At this point, being pro-data center isn’t just a minority position overrepresented among C-suite executives — it’s become a moral and cultural signal. An us-vs.-them litmus test in an age of elite distrust.
The political world did not see this coming. A year ago — before Zohran Mamdani’s win in New York, before DSA congressional wins in New York and Colorado, before El-Sayed in Michigan and Angie Nixon in Florida — the Democratic establishment was all about Abundance, the 2025 Ezra Klein–Derek Thompson book that had become something like an electoral manual for Washington Democrats and the press that covers them. But Abundance was (and is) powered by advanced technology and its mass adoption — the book says so on its first pages — and, like Altman, its proponents may have underestimated how unwilling neighbors would be to hand still more of their lives over to our Silicon Valley overlords. In a recent piece, my colleague Andrew Prokop wrote that Abundance flopped among voters because leftists adopted their best ideas, and issues like Israel became more of a motivating force among primary voters. But I’d also add that it replicated the same mistake tech leaders made: reveling in the benefits of a transformed economy before building consensus among the people who must live with it.
We’ve been covering this issue throughout the year, including attending an early-summer town hall in New Jersey over a proposed data-center expansion in the state’s poorest county. But even I have been surprised at how much we hear about AI and data centers from voters on America, Actually — and how tied those fears are to a larger anxiety about the future of work and a growing resentment of tech CEOs like Altman and Elon Musk. If the 2020 election was defined by both parties’ silence on AI, the years since have been defined by elites telling the underclass that they have no agency in the disruption to come.
Based on our reporting this year, here are four things that I think explain the shift in sentiment — and forecast where this goes in the midterms and the presidential race to come.
The thing that comes through loudest on the ground isn’t a technical objection to server farms, or even a concern with their potential impact on the environment. It’s the feeling that this change was done to communities — not in consultation with them. At the New Jersey town hall, one resident put it this way: “Folks feel unheard. And we don’t feel that way — we are unheard.” Another related it to a broader anxiety about artificial intelligence, which she said felt imposed on society from the upper class: “Everything relates from the top down, and what we’re getting from the top has spread all the way to the local level. And it isn’t good.”
Sen. Ruben Gallego — no AI opponent himself — suggested the resentment often came from how the industry picks its targets. “They’re gonna put a data center all because it’s cheap land, and also because they think it’s a Black and brown area, so they’re gonna have less pushback,” he said. And that feeling of powerlessness is not only amplified in the absence of federal regulation, but by the knowledge that most elected officials don’t even understand the technology themselves.
In New Jersey, residents suspected the game was rigged against the people with the least power to say no, and it often is. One word in particular, from a data center developer, had enraged them. The developer had called the project an “experiment.” That means “we’re the guinea pigs,” the resident said.
Recently, I’ve seen the data center backlash dismissed as a “psyop” — a foreign plot to undermine the US economy — or a symptom of technophobia. Simpletons who can’t understand what’s to come.
But that’s a convenient and self-serving misread. In New Jersey, one of the most striking voices at the town hall was a man who runs a civic-tech project: “I use AI all the time — for project management. If you use it responsibly, you can leverage it to get real-world tasks done.” He was still, firmly, against the data center. And he’s not alone: Gallup also finds concerns about the local impact of data centers are much bigger drivers of opposition than more general anti-tech ideas, as does Fox News’ polling. People weren’t rejecting the tools altogether — there were plenty of ChatGPT users in that room. They were rejecting the pace, and the secrecy, of a project reshaping their community.
A resident in New Jersey pointed out something important: “A couple hundred jobs for two and a half million square feet? How can that possibly be supported with today’s grid? There’s no plan for the future. … Who benefits with that building? It’s not the people of this town.”
I think this speaks to one of the challenges the pro-data center crowd has faced. Once the construction jobs leave, the noise, the water draw, the rising electricity bills, the fear about home values, and the sheer brutalist ugliness of the structure all stay. One homeowner told us: “I can’t sell my house — it’s been for sale since February. A woman came back twice, had cash, then realized it was near the data center. Her kids said, ‘Mom—’ and she said, ‘I just can’t do this.’”
And even if local concerns are the dominant issue, AI isn’t offering much of a bigger-picture national argument to overcome them. As Gallego put it to me, “there is no massive-scale benefit to society when it comes to AI” that voters see in their lives so far, and they have competing concerns about tech’s impact on children, privacy, and job losses.
Rep. Greg Casar, the Congressional Progressive Caucus chair, told me this is the reason the left has found success tying anxiety about artificial intelligence to their broader message of affordability.
A lot of the establishment traditional Democratic politics…are telling candidates, ‘Don’t even say the words AI.’ And if you do, say there needs to be safety but innovation — and then shut up…because maybe AI lobbyists are gonna spend tons of money against you.
Being progressive means uniting all the people getting their costs jacked up and having them vote for a politician even if the AI industry spends against them.
As I wrote previously, I think a defining characteristic of this ongoing ideological battle in the Democratic Party is the collapse of the center — even more than the rise of the left. And on artificial intelligence and data centers, I think you see that crumble clearly.
Progressives like Bernie Sanders and Ro Khanna have made clear cases for the need for a data center moratorium to prioritize the potential impact of AI on workers. And candidates like El-Sayed have laid out a proposed regulatory framework even if they don’t support a moratorium.
But the most shocking answers on the topic that I’ve heard have both been from elected officials more representative of the liberal center. Gallego called data centers a “necessary evil” — quite possibly the least inspiring words in American politics. Rep. Jim Clyburn’s answer on artificial intelligence was even worse. He told me he hadn’t heard about ChatGPT until recently and that he’s never used an LLM or visited a data center.
“I have a great staff,” he told me. “I know how to legislate, I know how to build relationships, and I hire people to bring knowledge into the game.” It’s a fine answer for most of governing. It is a terrifying one for a technology moving this fast.
In examining the public backlash against data centers, it’s important to remember statements like these. People don’t want to feel like they’re guinea pigs in an experiment, and it’s not just Sam Altman who has contributed to that feeling. It’s also the politicians who have treated technological change as something they retroactively legislate after a crisis arrives, whether it’s in the economy, or the environment, or society. You can’t govern a revolution you refuse to understand.
This week, I called Adrian Walker, longtime political columnist at the Boston Globe and one of the moderators of the recent debate between Sen. Ed Markey (D-MA) and Rep. Seth Moulton (D-MA), the 47-year-old member of Congress who’s challenging him in a September 1 primary election. The debate also featured a viral moment from Markey on artificial intelligence, where the 80-year-old incumbent did not seem to fully grasp the technology. You can watch that exchange here.
So is this all about age? What have been the lines of division beyond that?
You know, it’s surprising that when you poll people, and you ask them about age, they have concerns about Markey being 80 (and 86 potentially at the end of this next term). But it’s not what’s really driving votes. It’s really kind of become more of a race about who’s more progressive, and Markey has successfully, I think, pitched himself as the more progressive candidate.
What are the ways in which they are both seeking to prove their progressive credentials?
Markey constantly touts the Green New Deal, and he talks a lot about his endorsements from AOC and Ayanna Pressley and people like that. It’s basically the same playbook he ran six years ago when he beat Joe Kennedy, when he also did better than anybody expected among young voters.
So he’s still riding that Green New Deal/AOC connection.
He’s running the exact same campaign. And Moulton came in with a lot of skepticism. People are still mad about him going against Pelosi (in 2018). And he had this very high-profile attack about trans kids in youth sports — and people have been skeptical about him as a progressive. So he’s sort of trying to reinvent himself while Markey, you know, kind of rides the same thing that got him a little success.
So is there a reason we should be watching this beyond just the question of age?
I think the AI question really speaks to something very fundamental in this debate. I think people really have concerns about the fact that the whole Senate seems to be in their 70s and 80s, and I think it was reflected in that question. You have Markey up there saying, you know, it doesn’t matter whether you call it Siri or Claude or whatever. And people walk away thinking this is not the dude who should be regulating AI; they think “Yeah, you know, the 47-year-old actually understands this, and the 80-year-old pretty clearly does not.”
And it kind of speaks to, I think, the sort of hunger I think a lot of people are feeling for generational change in the Senate: You watch Senate hearings, you watch congressional hearings about things like AI, but they’re really not that impressive. It really does look like a bunch of people who don’t really understand this at a very deep level. And that’s driving this frustration.
The internet kind of sucks right now. And it’s been getting harder and harder to use over the past several years.
Imagine you’re training for a marathon, or just trying to get in better shape, and you want to buy a new pair of shoes. Well, good luck! You’re going to have to wade through sponsored links, affiliate marketing, AI summaries, and websites seemingly engineered for search engines instead of human shoppers.
Maybe you just want to connect with friends on Instagram or discover recipes on TikTok. But even there, everyone is selling something. “Get Ready With Me” videos are sponsored by CeraVe, movie reviews are actually ads for the movies being reviewed, and the guy who posts your favorite mobility routines really wants you to try his protein powder.
So people have developed a workaround: Simply add “Reddit” to the search.
Looking for a shoe with high energy return? Reddit. Want to know if an Airbnb you’ve been eyeing has a sketchy listing? Reddit. Trying to figure out the fastest way to the international terminal in Atlanta’s humongous airport? Chances are someone on Reddit has shared very specific thoughts and instructions.
It’s a strange situation. Reddit is filled with pseudonymous strangers, and yet these people can somehow feel more trustworthy recommending a skincare product than an influencer hawking cleansers to millions of followers. Why? Because the random person on Reddit doesn’t seem to have anything to sell you.
That’s why, for many people, Reddit feels like one of the last “real” places on the internet. The site has become so integral to navigating the internet that Google took notice; in recent years, it’s begun surfacing Reddit threads more prominently in search results.
Then came artificial intelligence. Chatbots need massive amounts of human language to learn how we communicate. AI-powered search also needs somewhere to turn when we ask the kinds of hyper-specific questions that newspapers, Wikipedia, and government websites haven’t answered. Reddit has plenty of both.
Unfortunately, whenever something online becomes valuable, people and companies figure out how to exploit it.
The stakes go far beyond a brand tricking someone into buying a lousy face cream. Reddit works because people trust that there’s a real person on the other side of the screen. It doesn’t have to become totally overrun by bots or marketers for that trust to disappear. We just have to start questioning who — or what — we’re talking to.
To break down how Reddit is changing, what the platform and its moderators are doing to push back, and what it could mean for the increasingly blurry line between human conversation, marketing, search, and AI, Today, Explained co-host Noel King spoke with the Verge’s Mia Sato, who recently wrote about the new wave of AI spam beleaguering the platform.
Below is an excerpt of their conversation, edited for length and clarity. There’s much more in the full podcast, so listen to Today, Explained wherever you get podcasts, including Apple Podcasts, Pandora, and Spotify.
Are you a big Reddit user?
Yeah, I think so.
What do you mainly use it for?
I think it’s become a big part of finding information on the internet. I usually use Google as the sort of doorway into Reddit, but if I search something on Google, really, it’s a high likelihood that I will end up on Reddit in the end.
That’s a trend that you write about in your piece, which I thought was very interesting because it was something that has also been happening to me and it happened without me realizing how often it was happening.
You start this piece in the Verge with an example from a post on a skincare-focused subreddit, a place you write that you visit often. Can you take us through what happened?
The skincare subreddits that I mentioned in my story are actually subreddits that I often read because I want unfiltered or true opinions about products before I buy them. And I go to Reddit for skincare recommendations quite a bit.
I suspected that if you are a skincare brand and you want people to be talking about your product, you will go to these subreddits because some of these subreddits get like one and a half million viewers a week. They’re doing crazy numbers and they have a very committed and active community. So I was like, if I were a brand and I wanted to market myself, I would probably post on Reddit.
I was curious how the moderators of these skincare subreddits were handling that, because also marketing firms had told me, “Yeah, all our clients, they really want to know how to crack Reddit. It’s really hard. They want to figure out Reddit.”
And so I talked to a subreddit moderator who does one of the skincare subreddits, and she gave me a ton of detail about the amount of spam that they were getting. She sent me one example, which was a thread of someone asking about a certain spray that people use for acne treatment.
The person who posted it asked, like: “Magic Molecule Hypochlorous Acid Spray – is it really that good? Recently I have seen a lot of good reviews about this product. Any of you tried? Do you recommend? What is your take on this?”
And, you know, it got like dozens of answers. Some people said, “Yeah, it’s great.” Others said, “They all work the same.” But one of the answers was from just a random account that said, “I’m sorry, I don’t have any experience with that product, but I have tried this other one that I was skeptical of, but I really like it actually.”
If you’re reading that comment, you probably would think nothing of it. But what you don’t see unless you click over to the profile and do some digging is that this random account had actually — over the course of several days, maybe even months, and across different skincare subreddits — been recommending the same product over and over and over, and using very specific terminology, saying, “It has all these recommendations from certified dermatologists, which made me feel a bit more confident trying it on sensitive skin.”
It was very controlled messaging. Of course, the moderators were like, “What normal person is going to go across different subreddits and keep pushing this product? For no reason?”
So that is one of the ways that this new type of spam on Reddit takes shape, which is brands pretending to be normal users on Reddit.
For Reddit moderators, I’m thinking they can’t individually suss it out immediately or it wouldn’t be happening. Are they doing the search themselves to try to figure out, like, is everything on here real? How are they dealing with this?
They have a bunch of tools. Some of them are auto-moderator tools, where basically a bot will look at every submission that comes through and move some things to a filtered folder where moderators can look at [it].
One of the funniest things that several moderators actually told me was they keep shit lists of companies that they think have spammed them in the past. The skincare subreddit told me about this. A weight-loss subreddit moderator whom I interviewed also said this. They have a running list in the background where if they think you’ve spammed or astroturfed their community in the past, they keep all those brands’ names. And now if you mention that brand name, your post will automatically get filtered out.
Wow. Okay.
The moderators are trying to send a message: “If you spam us, all of the posts that are not even your spam will get filtered out and we will take a closer look at them.” They’re pretty strict with it. Some moderators that I spoke to said that they’ve really seen an increase over the last six to eight months, maybe.
I can give you a couple of the numbers that Reddit has released publicly because Reddit has said also that they know that this is a growing problem. The company said that it removes 25,000 spammy posts and comments a day. They block something like 23 million spam views. And they also tackle spam upvotes — a way on Reddit to sort of signal agreement.
But Reddit knows that it is kind of a new era of spam, and they’ve said that they’re using LLMs and other AI-powered moderation tools to try to catch this stuff better.
Let me ask you something. Maybe it comes down to what Reddit is and always has been, but I will go on Instagram, I will go on TikTok, and my sense is like half of it is just crap that’s trying to sell me something. It might not be real. It just all feels pretty garbagey to me.
I feel like when you wrote this piece, you were saying there are stakes here to Reddit being the thing that must kind of stay pure, must stay away from this. What is it about Reddit that makes it important?
One part is that the concept of influencers doesn’t really exist on Reddit in the same way that it exists elsewhere.
And if you are an influencer, there are very few places that you can post without getting in trouble. Many, many subreddits have explicit rules saying, “You may not self-promote here, and we will ban you if you do.” That is a totally different environment than Instagram, where sort of the expectation is that someone is selling you something.
The other part that makes Reddit unique, I think, is that for better or for worse, and deserve it or not, Reddit, in the minds of people using the internet, has come to sort of be associated with real opinions or real people. Which is funny because the platform is anonymous, you know? Most people are using just a random username, not their full name. So it’s kind of stumbled into this reputation of being filled with real, helpful opinions and perspectives.
Reddit has deals with certain AI companies where they allow LLMs to be trained on troves of Reddit data, of real people having conversations. And so I think over the last few years as Google search feels like it’s gotten worse and people have gone to places like Reddit to answer their questions, Reddit’s stock literally has skyrocketed as a place where you can find information where people aren’t trying to sell you something all the time. Or are they? That’s kind of the part that I wanted to untangle.
Does Reddit actually have to become overrun with marketing, fake posts, people saying, “Oh, you should definitely buy this skincare,” because they’re getting paid to say that for this to be a big problem? Or does it just have to get to the point where I am suspicious that I’m not talking to an actual person on Reddit and I start doubting a platform itself?
For me personally, in the course of reporting this story, I was like, “Hmm, maybe I shouldn’t buy things based on a recommendation from Reddit.”
It’s a new type of problem and a new way of looking at a platform. As it relates to AI search, if these chatbots love to cite Reddit so much for their answers, can the AI systems detect when something is spam? Can they detect when a comment is coming from a brand or when the person who left that comment, if you go to their account, they’re always promoting that product?
I am not convinced that Google’s Gemini or ChatGPT can suss out when something is promotional and when it isn’t. Because I’ve written about this before and I know that they can’t.
Hmm!
It’s a strange thing where I think the deception on one platform ends up trickling through other places as well, as the Reddit thread gets cited by search features and LLMs.
Have you changed your buying habits based on what you’re seeing now on Reddit?
I feel like I’m just way slower to buy things. I’m just like, let me keep this in my head. Let me put it on my wishlist and do some research to see what other people, what real people think, and also make sure that they have a good return policy.
Login