New York Times Sues Perplexity AI for Copyright Theft

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Dec 5, 2025

The New York Times just dropped a bombshell lawsuit against hot AI startup Perplexity, accusing it of straight-up stealing millions of articles to power its search engine. If they win, it could completely change how AI companies operate. But is this protecting journalism… or slowing down innovation? The details are wild.

Financial market analysis from 05/12/2025. Market conditions may have changed since publication.

Imagine spending decades building one of the most respected news organizations in the world, only to watch a startup founded yesterday copy your entire library without asking and turn it into their product. That’s exactly what’s happening right now, and it’s getting ugly.

On Friday morning, a major American newspaper took AI search darling Perplexity to federal court in New York. The accusation? Mass-scale copyright infringement. The claim: Perplexity has been systematically scraping and reproducing protected content to fuel its answers, often delivering near-verbatim copies while stripping away the original ads and subscriptions that keep journalism alive.

Another Front Opens in the AI Copyright War

This isn’t the first time we’ve seen this movie. Two years ago the same newspaper sued two of the biggest names in generative AI for similar reasons. That case is still grinding through the courts. Now a fast-rising search challenger has been added to the list.

But this one feels different. Where the earlier suits focused mostly on training data, this complaint goes straight for the output. The newspaper isn’t just saying “you trained on us.” They’re saying “every time someone asks your bot a question, you spit out our reporting word-for-word and pocket the attention.”

What Exactly Is Perplexity Accused Of?

The lawsuit is brutally direct. Court documents claim the company built automated systems that bypass paywalls, ignore robots.txt files, and pull entire articles into their servers. Those articles then become the raw material for the clean, citation-rich answers that made the startup famous.

Here’s the part that makes publishers furious: when you ask this search engine about breaking news, it doesn’t just summarize. In many cases it reproduces huge chunks of reporting—sometimes 80-90% of the original piece—while presenting it as its own synthesis. The lawsuit includes side-by-side comparisons that are genuinely shocking.

“Perplexity is not a search engine. It is a plagiarist.”

– Legal filing submitted Friday

That’s the tone of the entire 87-page complaint. Zero chill.

Why This Case Could Matter More Than the Others

I’ve been following these copyright battles for years, and honestly? This one scares the AI industry in a way the earlier cases didn’t.

Most big AI companies can at least argue “we trained once, years ago, and now we’re just running inference.” It’s a shaky defense, but it’s something. Perplexity’s entire product is real-time retrieval and rephrasing. Every single query potentially creates a new copyrighted derivative work. That makes the “fair use” argument much harder to sustain.

  • Training cases = past behavior, hard to quantify damage
  • Output cases = ongoing, measurable, happening right now
  • Search competitors directly threaten publisher traffic (their oxygen)

When your business model depends on replacing the very sources you’re copying, courts tend to listen.

The Money Angle Nobody Wants to Talk About

Let’s be real for a second. News isn’t cheap. A single investigative series can cost millions and take months. Someone has to pay reporters, editors, fact-checkers, lawyers.

Advertising collapsed years ago. Google and Facebook ate that lunch. The subscription model was supposed to be the lifeboat. Now AI search engines threaten to sink that too by giving away the product for free, with better UI and no paywall friction.

In my view—and I say this as someone who loves technology—this feels like the tragedy of the commons playing out in real time. Everyone wants high-quality information to exist, but nobody wants to pay for it if they can get the same thing from a bot.

What Happens If Publishers Win?

Three scenarios, from most to least likely in my opinion:

  1. Licensing becomes the new normal. AI companies pay publishers for content use, similar to how music streaming pays labels. Expensive, but survivable.
  2. Technical blocking arms race. Publishers get better at stopping scrapers; AI companies get better at evasion. Everyone wastes millions on cat-and-mouse.
  3. Search engines pivot to public domain and licensed data only. The internet becomes dramatically worse for recent news and analysis.

I’m betting on door number one, but it’s going to hurt. The kind of blanket licenses publishers want could easily cost hundreds of millions per year for the biggest players.

The “But Google Does It” Defense

Every time one of these lawsuits drops, someone inevitably says “Wait, doesn’t Google just show snippets too?” And yeah, they have a point. But there are crucial differences:

FeatureTraditional SearchAI Search (alleged)
Answer lengthShort snippetOften entire articles
User stays on site?Usually clicks throughOften no need to click
Commercial substitutionDrives trafficReplaces traffic

Courts have protected snippets for decades. Replacing the entire work is a different beast.

Where This Leaves Investors

Perplexity was valued at $9 billion just months ago. Investors include some of the smartest VCs in Silicon Valley plus a major chip maker. This lawsuit probably won’t kill the company—settlements happen—but it removes the “move fast and beg forgiveness” playbook that powered so many unicorns.

Suddenly every AI startup has to budget for content licensing or build expensive legal moats. That changes cap tables. It changes growth curves. It might even change which companies survive the next five years.

The Bigger Question Nobody Can Answer Yet

Here’s what keeps me up at night: what is the actual fair solution here?

We all want AI to get smarter. We all want independent journalism to survive. Right now those two goals are on a collision course. Someone is going to lose, or we’re going to have to invent a completely new economic model for information.

Maybe attribution plus micropayments. Maybe compulsory licensing like radio stations pay ASCAP. Maybe something nobody has thought of yet.

What we do know is that pretending content is free and infinite isn’t sustainable. Someone, somewhere, has to pay the reporters.

The internet was built on copying. The question is whether the next layer gets to do it for free.

This case will be one of the defining battles of the AI era. Whatever the court decides will ripple through every search engine, every chatbot, every media company for decades.

And honestly? I have no idea which side I want to win.


Either way, the age of “information wants to be free” just got a lot more complicated.

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Steven Soarez passionately shares his financial expertise to help everyone better understand and master investing. Contact us for collaboration opportunities or sponsored article inquiries.

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