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Opinion ยท Regulation

Why the AI Safety Panic Is Exactly What Big Tech Wanted

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Mara Ellison ยท Senior Editor
Ex-regulatory lawyer. Now covers the industry she used to sue.

Every few months, the same performance plays out. A Big Tech CEO sits before Congress, voice trembling, and begs the government to please regulate us. The senators nod. The headlines swoon. And somewhere in Menlo Park, a lawyer quietly bills another six figures.

Here's the part nobody says out loud: regulation is the best moat money can buy. OpenAI, Google, and Meta aren't afraid of compliance costs โ€” they're terrified of competition. A licensing regime that costs $50 million a year is a rounding error for them and a death sentence for every open-source lab, startup, and garage team in America. "AI safety" is just antitrust with better PR.

Look at the pattern. Every major regulatory proposal conveniently defines the threshold of danger just below where the incumbents already sit. Training runs bigger than yours? Dangerous. Compute clusters bigger than ours? Fine. It's the oldest trick in the book: pull the ladder up, then pose as the concerned citizen who warned about ladders.

Meanwhile, the actual risks โ€” biased models quietly deciding who gets hired, who gets a loan, who gets flagged by law enforcement โ€” are boring, unsexy, and already happening. But fixing those doesn't require a licensing board. It requires accountability, which is the one thing the panic merchants never volunteer for.

I'm not saying AI needs zero rules. I'm saying watch who wrote the rules, and ask what they get out of them. When the wolf asks for stronger fences, check whether the fence keeps the wolf in โ€” or everyone else out.

Opinion ยท Politics

Trump vs. Silicon Valley: The Fight Neither Side Can Afford to Lose

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Devon Cross ยท Political Correspondent
Covered four techlash cycles. Nobody has won one yet.

Trump has made a sport of humiliating Silicon Valley โ€” the threats, the executive orders, the middle-of-the-night posts calling CEOs to heel. And the Valley keeps showing up to the dinner anyway, checks in hand. This isn't weakness. It's arithmetic.

The President needs Big Tech more than Big Tech needs the President. The data centers powering the AI race sit on American soil, consume American energy, and employ American workers โ€” and the administration knows the China hawks are watching who builds faster. You can't run a nationalist tech policy while torching the industry that makes it possible. Trump figured this out the same way every populist eventually does: the billionaires you campaigned against are the donors you govern with.

But Silicon Valley needs Trump just as badly. The antitrust cases, the AI licensing fights, the content moderation battles โ€” every existential threat to these companies runs through Washington now. Musk understood this early and bought a front-row seat. The rest of the industry is learning the same lesson, one subpoena at a time: in 2026, your lobbying budget matters more than your product roadmap.

So we get this strange dance โ€” public threats, private deals, headlines about war and boardrooms full of peace talks. Neither side can land a knockout punch because they're standing on the same stage, holding the same microphone.

The loser in all of this is everyone else: the startup that can't afford a government relations team, the user whose data gets traded in the backroom, the public that was promised a fight and gets a merger instead. Washington versus Silicon Valley was always a negotiation. The only question was the price โ€” and we're all paying it.

Opinion ยท Privacy

Your Phone Is Not Listening to You. It's Doing Something Worse.

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Priya Nair ยท Privacy Columnist
Spent five years auditing data brokers. Sleeps with her phone in another room.

Every time someone says "my phone is listening to me," a privacy engineer sighs. Your phone doesn't need to listen. Listening is expensive, legally risky, and completely unnecessary when guessing works this well.

Data brokers have assembled such a complete picture of you โ€” your location history, purchase patterns, the apps you open at 2 a.m., the friends whose posts you linger on โ€” that they can predict what you're about to talk about. When an ad for hiking boots appears minutes after you mentioned them, it's not surveillance of your microphone. It's surveillance of your entire life, run through a model that knows you better than your spouse does.

That's the part that should genuinely scare you. The "listening" theory is almost comforting: it implies there's a switch to turn off, a permission to revoke. But there's no toggle for a thousand brokers legally buying and selling inferences about your health, your politics, your debts, and your desires. You can't mute a business model.

And here's the ugliest truth: this data doesn't just sell you shoes. It prices your insurance, filters your job applications, scores your creditworthiness, and flags you to institutions you'll never get to confront. The ad was just the demo. The real product is a version of you, traded in markets you can't see, making decisions you'll never hear about.

So stop worrying about the microphone. Start asking who owns the profile โ€” and why you never signed up for it, never get paid for it, and can never delete it. The listening myth lets the industry off the hook. Don't give them the satisfaction.

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