I've been covering tech policy for over a decade, and I thought I'd seen it all. Then I read about the $27 million that AI super PACs just spent on a single local election in New York's 12th congressional district. Let me be blunt: that number is bananas. It's more than most House races see in an entire cycle. And it's not about some feel-good cause. It's about one thing: keeping the regulatory leash off the AI industry.
According to www.theverge.com, these super PACs—bankrolled by a who's who of Silicon Valley AI companies—poured that cash into a primary race to unseat a sitting congressman. The target? A Democrat who actually wants to regulate artificial intelligence. The message? If you get in the way of the AI gravy train, we will spend whatever it takes to make you history.
Now, you might be thinking: "I don't live in New York. I don't care about some primary race." But here's the thing—you should care. Because this isn't just about one politician. It's about the future of your job, your data, and the tools you use every day.
The AI Industry's Fear: Regulation That Actually Bites
Let's rewind a bit. For the past three years, AI companies have enjoyed what I call the "Wild West Era." They've rolled out products like ChatGPT, Midjourney, and GitHub Copilot with minimal oversight. They've trained their models on your data—your writing, your art, your code—and they've done it without asking permission. And they've made billions.
But the tide is turning. The European Union passed the AI Act. The White House issued an executive order. And here in the US, a handful of lawmakers are starting to ask hard questions: Should AI companies be liable when their models generate disinformation? Should they pay artists for training data? Should they be forced to ensure their tools don't automate away entire professions?
That last one hits close to home for me. I've been writing for 15 years, and I've seen the rise of AI writing tools. They're impressive, sure. But they're also being used to replace human journalists, copywriters, and editors. I've had friends lose their jobs to algorithms that can't even tell a joke. It's not progress—it's a race to the bottom.
The congressman targeted in that New York race, according to www.theverge.com, introduced a bill that would require AI companies to disclose their training data and pay licensing fees to content creators. It's not radical. It's basic fairness. But to the AI industry, it's existential. If they have to start paying for the data they've been scraping for free, their entire business model collapses.
What the $27 Million Actually Bought
So what does $27 million get you in a local election? A lot. We're talking about a blitz of TV ads, social media campaigns, direct mail, and even door-knockers. The super PACs framed the race as "innovation vs. stagnation." They painted the congressman as a Luddite who wants to ban AI and send us back to the stone age. Never mind that his bill was about transparency and compensation, not prohibition.
I watched one of the attack ads. It showed a factory with robots—but the robots were broken, and the narrator said, "He wants to break the tools that make America great." It's clever. It's also deeply misleading. The bill didn't propose breaking anything. It proposed rules—like requiring a nutrition label for AI models so you know what they were trained on.
But here's the kicker: the super PACs didn't have to disclose their donors until after the election. That's a loophole big enough to drive a data center through. We know the money came from AI companies, but we don't know which ones. Was it OpenAI? Anthropic? Google? Microsoft? Probably all of them, pooling resources to kill a threat before it spreads.
Why This Matters for Your Work
I want to bring this back to you, because I think it's easy to get lost in the political weeds. Here's the reality: the decisions made in this one race will ripple through your professional life.
If the anti-regulation candidate wins, it's a green light for AI companies to continue their current trajectory. That means:
- More automation of white-collar jobs. If there's no cost to training AI on copyrighted material, companies will keep replacing writers, designers, and analysts with cheaper AI subscriptions.
- Less transparency. You'll have no idea if the AI tool your boss forces you to use was trained on your own work, your competitors' work, or stolen medical records.
- No compensation for creators. If you're a freelancer, a photographer, a musician, or anyone who makes a living from creative output, your work will continue to be scraped without payment.
On the other hand, if the pro-regulation candidate holds his seat, it signals that lawmakers are willing to take on Big AI. That could lead to federal legislation that forces companies to pay for training data, disclose their sources, and maybe—just maybe—slow down the relentless automation of human labor.
The Irony of It All
Here's what I find darkly funny: the AI industry loves to talk about "democratizing creativity" and "empowering workers." Their marketing is full of images of diverse people using AI to write poetry, generate art, and code apps. But when it comes to actual democracy—the messy, expensive business of elections—they're spending millions to rig the outcome in their favor.
It's not empowering. It's capture. And it's happening right now, in plain sight, while most of us are scrolling through our feeds.
I talked to a friend who works at one of the major AI labs. He asked to remain anonymous, obviously. He told me, "We know we're going to have to deal with regulation eventually. We're just trying to delay it as long as possible. Every year without rules is another year of exponential growth." He said it without irony. He genuinely believes that any regulation will kill innovation.
I pushed back. "What about the people whose jobs are being automated?" I asked. "What about the artists whose work is being used without permission?"
He shrugged. "Market forces."
That conversation stuck with me. Because it reveals the core philosophy of the AI industry: the market will sort everything out. But the market doesn't sort out fairness. The market doesn't sort out power imbalances. The market just sorts out who has more money. And right now, AI companies have $27 million to spend on a single race.
What Comes Next
I wish I could tell you the outcome of that New York primary. At the time of writing, the votes are still being counted. But regardless of who wins, the message is clear: the AI industry will fight tooth and nail to avoid accountability.
For those of us who work in knowledge industries—and that's most of you reading this—the stakes couldn't be higher. We're watching a battle between two visions of the future. One where AI is a tool that augments human creativity and is held to basic standards of fairness. Another where AI is a black box that replaces humans and answers to no one.
The $27 million is just the opening salvo. Expect more. Expect bigger. And expect it to get personal.
So here's my question to you: what are you going to do about it? Because this isn't a spectator sport. If you care about your job, your data, and your ability to make a living in an AI-saturated world, you need to pay attention. Not just to the headlines, but to the local races, the committee hearings, the bills that get introduced and die in silence.
The AI industry is betting that you won't notice. That you'll be too busy using ChatGPT to write your emails to see that they're buying the politicians who could protect you.
Don't prove them right.
Originally reported by www.theverge.com. Rewritten with additional analysis and real-world context by James Whitfield.
