The Internet Is Full of AI Content Nobody Asked For

Open any topic on Google right now. Pick something specific, a camera review, a recipe, a guide on fixing a bug in your code. Scroll past the first few results and tell me how many of those pages feel like they were written by someone who actually knows what they’re talking about.

For most searches, the answer is: not many. You can usually tell by the end of the first paragraph.

The web has always had bad content. Clickbait headlines, SEO keyword stuffing, articles that spend four paragraphs telling you what they’re about to tell you. That was annoying. What’s happening now is different. What’s changed is the sheer volume. We’re not talking about a few bad blogs anymore. We’re talking about thousands of websites publishing hundreds of AI-generated articles a day, covering every topic imaginable, written by no one, reviewed by no one, and existing for one reason only — to rank on Google and collect ad revenue before anyone notices the content is hollow.

That’s AI slop. And it’s quietly making the internet a worse place to be.

What AI Slop Actually Looks Like

It’s harder to spot than you’d think, which is part of the problem.

The tricky part is that AI slop doesn’t always look terrible. In fact, some of it looks polished. It has headings, good grammar, and clean formatting. The problem only becomes obvious once you finish reading and realize you didn’t actually learn anything.

You’ve probably read it without realizing. An article about “the best VPN for 2026” that somehow never compares connection speeds, talks about streaming performance, or explains when you’d actually choose one service over another. A tech explainer that defines every term correctly but can’t actually tell you when you’d use one thing over another. A review that summarizes the product specs you could read on the manufacturer’s website anyway.

The information isn’t wrong, exactly. It’s just… empty. There’s no perspective. No hard-won opinion. No moment where the writer says “here’s the thing nobody tells you.” Just words arranged in the shape of an article.

How Did We Get Here

None of this happened overnight. We slowly created an internet where publishing more content almost always meant more traffic. AI simply poured fuel on that system.

Google’s own Search Quality Evaluator Guidelines emphasize rewarding content that demonstrates experience, expertise, authoritativeness, and trustworthiness (E-E-A-T). If you rank on page one, you get traffic. If you get traffic, you make money from ads. For years, the path to page one was writing genuinely useful content, because Google’s algorithm rewarded things like time on page, backlinks from reputable sites, and low bounce rates — signals that real humans found your content worth reading.

Around the same time, two major shifts collided. AI writing tools became cheap and accessible, and a cottage industry figured out that you could flood a topic with AI-generated content faster than Google could penalize it. By the time a site gets flagged and deindexed, the operator has already made their money and moved on to a new domain.

The same tools that have made vibe coding more accessible have also made it easier than ever to mass-produce content. AI can be incredibly useful when it’s helping people build or create—but much less so when it’s used to flood the web with low-quality articles. What used to take a team of underpaid writers churning out mediocre articles now takes one person with a ChatGPT subscription and a WordPress install. The barrier to producing a thousand articles a month is essentially zero.

Why This Matters

There’s an obvious problem here — the internet gets noisier and harder to navigate. That’s bad enough on its own.

The bigger issue isn’t just bad content.

AI doesn’t generate ideas. It remixes existing ones. Every piece of AI content is built on top of something a human wrote first. It pulls from research papers, blog posts, journalism, forum threads — all of it created by people who spent time, expertise, and sometimes money producing that content. When those creators stop getting traffic because AI slop has buried their work in search results, they have less reason to keep creating.

We already explored this in our article, The Death of the Click: Is AI Search Killing Website Traffic?, where we looked at how AI overviews are reducing clicks to the websites that originally produced the information being summarized.This is the same problem but further upstream. It’s not just that people aren’t clicking through to read good content. It’s that good content is becoming harder to find at all, because the space around it is being carpet-bombed with AI filler.

Eventually, the system runs into a problem. If the people doing original research can’t make a living from it, fewer people will bother producing it in the first place. The models don’t care where the text came from. They’ll happily train on AI-written content if that’s what’s available. They’ll just start training on each other’s outputs, which is already happening, and the quality will quietly degrade in ways that are difficult to measure but easy to feel.

Google Is Losing the War

To be fair to Google, they’re not ignoring this. They’ve rolled out multiple algorithm updates specifically targeting AI-generated spam. Sites have been deindexed. Entire networks of content farm domains have been wiped from search results overnight.

It ends up feeling like a game of whack-a-mole, except the moles keep multiplying. The operators running these networks are sophisticated. They know how to mimic the signals Google looks for — internal linking structures, topical authority clustering, even fake author profiles with LinkedIn pages. Some of them mix in a percentage of human-written content specifically to avoid detection. By the time Google catches up, a new network has already been built.

The real challenge for Google is bigger than spam. Search only works if there’s a healthy web to search in the first place. If the ratio of genuine content to AI slop keeps tilting in the wrong direction, search becomes less useful — and people start looking for alternatives. We’re already seeing this with the rise of AI-powered search tools like Perplexity that skip the traditional results entirely. Which, ironically, is just moving the problem one layer up.

What This Means for Anyone Who Actually Reads Things

If you’ve noticed that it takes longer to find a genuinely useful answer to something than it used to, you’re not imagining it. The web is objectively harder to navigate than it was five years ago for certain types of queries.

Think about how you search today compared to five years ago. If you’re like most people, you’ve probably caught yourself adding “Reddit” to a Google search or looking for a YouTube video from someone you’ve watched before. That’s not an accident—it’s a shortcut to finding someone you trust instead of another anonymous article.

That shift is interesting because it’s essentially a vote of no confidence in the open web as a place to find reliable information. Which is a strange thing to happen to something that was supposed to democratize access to knowledge.

The Problem Isn’t AI

It would be easy to frame this as an argument against AI writing tools, but that’s not really the point.

Used properly, AI writing tools are genuinely useful. They help people who struggle to put words together. They speed up drafting. They’re good at the boring structural parts of writing that don’t require original thought. There’s nothing wrong with that.

The problem is the incentive structure that exists around them. When the path to ad revenue is flooding the internet with content regardless of whether it helps anyone, and when the tools to do that at industrial scale are now available to anyone with a laptop, you get exactly what we have: a web that is technically full of information and practically full of noise.

The content that matters is still out there. It’s just getting harder to find. And the longer this continues, the more effort it takes just to locate something a human actually thought about and meant.

That cost is being paid by everyone who uses the internet to learn something. Which, last time I checked, is most of us.