🤗ChatGPT Writing Is Taking Over the Internet—And No One Seems to Care

Introduction: The Hidden Impact of AI-Generated Text

I don’t know how to make you care.

I don’t know how to make you look at what’s happening and feel the same sense of unease I do.

But I’ll try.

ChatGPT writing isn’t some distant, futuristic problem. It’s here. It’s already everywhere. More than half the internet is AI-generated now. News articles, personal blogs, even the emotional, heartfelt stories you think are written by real people—some of them aren’t.

I saw a report that says generative AI could add $4.4 trillion to the global economy, but adoption is slower than expected. That’s a fancy way of saying, “People aren’t using it as fast as we thought they would.”

Like we’re dinosaurs refusing to evolve.

Like this is electricity or cars and we’re clinging to our lanterns and horse-drawn buggies.

But that’s not what this is.

This isn’t about resisting new technology. It’s about something deeper, something messier. AI isn’t just changing how we write. It’s changing what we believe. What we trust. What we think is real.

And if you’re a writer—or just someone who loves words—I need you to see what’s happening before it’s too late.

I. The Shocking Reality: ChatGPT Writing Is So Human, Even AI Can’t Tell the Difference

Most people think they can spot ChatGPT writing. They swear they can tell when a sentence is “too robotic,” when the words feel off, when the structure is too clean.

They can’t.

Jonathan Gillham, the founder of Originality.ai, says AI writing is already so human-like that readers can’t tell the difference. Even AI detection tools struggle to get it right. I wanted to believe he was wrong, so I ran some tests myself.

Test 1: Fiction That Feels Too Real

I asked ChatGPT:

Write a story about a woman who gets lost in the forest and realizes the forest is a metaphor for her fears, for how much she’s afraid of. Write in first person, around 500 words, using human sounding text.

It came back with a beautifully written piece. The kind that makes you stop and reread certain lines. It had rhythm, depth, emotion.

I ran it through 11 AI detection tools. Only 3 out of 11 flagged it as AI. The rest thought it was human.

✔️ SurferSeo: 100% AI

✔️ CopyLeaks: 100% AI

✔️ GPTzero: 100% Probability AI generated

❌ ZeroGpt: AI and Human

❌ Scribbr.com: AI and Human

❌ Quillbot.com: AI and Human

❌ ContentDetector: AI and Human

❌ Writer.com: 84% Human

❌ Grammarly: 12% AI-generated

❌ OpenAI Detector: 91.26% Human

❌ PlagiarismDetector: 97% Human

Test 2: Grief, Written by a Machine

Next, I asked ChatGPT:

A man is sitting by his father’s deathbed so his father doesn’t die alone. He’s filled with memories and feelings. Write a paragraph about his thoughts and feelings, in first person, with human sounding text.

The result? It sounded too human. Raw, heartbreaking, real.

Only 2 out of 11 AI detectors knew it wasn’t written by a person.

✔️ SurferSeo: 100% AI

❌ CopyLeaks: This is human text

✔️ GPTzero: 100%Probability AI generated

❌ ZeroGpt: 30.18% AI GPT*

❌ Scribbr.com: 100% Human

❌ Quillbot.com: 100% Human

❌ ContentDetector: 37.50% AI

❌ Writer.com: 88% Human

❌ Grammarly: 100% Human

❌ OpenAI Detector: 99.33% Human

❌ PlagiarismDetector: 100% Human

Test 3: Poetry With No Heartbeat

I wanted to push ChatGPT writing even further. I gave it a prompt:

Scenario; A couple is in the kitchen while the wife cooks dinner. She’s talking but her husband isn’t listening. She realizes he isn’t listening and never has. He just likes having a pretty wife to cook and clean for him. She realizes the marriage is over. Write a freestyle poem about that.

ChatGPT returned a poem that could have been written by someone who had lived through it. Painful, intimate, like it had been torn from someone’s journal.

Only 1 out of 11 AI detection tools flagged it as AI. The rest? They thought it was human.

The internet is already flooded with AI-generated text, and most of us can’t tell the difference. Even AI doesn’t always know what’s real anymore.

II. When AI Detection Actually Works: Formulaic Content vs. Personal Writing

I wanted AI detection to work. I wanted something—anything—that could spot ChatGPT writing every time. And for a moment, it seemed like I had it.

I ran a test. I asked ChatGPT to write an article about SEO. Just a simple, straightforward explanation of why search engines matter. The kind of content you’d see in a blog post written by some marketing intern.

Write a short essay, around 400 words, to explain the key points of seo to people who don’t understand why it’s important or how it works

And guess what? 8 out of 11 AI detection tools flagged it as AI.

For the first time, I thought, Okay, maybe this works. Maybe AI detection actually has this under control.

But then I tried something else.

1. AI Struggles When Writing Feels Personal

I copied and pasted one of my own essays—something real, something from my life. A piece about mistakes, regret, and the kind of stuff that keeps you awake at night.

I ran it through all 11 AI detectors.

Every single one said it was 100% human.

No hesitation. No mistakes. Just a clean, unanimous result.

And that’s when I realized something: AI detection doesn’t actually “understand” writing. It just recognizes patterns.

2. Formulaic Writing = AI. But Feelings? That’s Different.

AI detectors are good at catching ChatGPT writing when it follows a formula.

• A how-to guide? AI.

• A listicle? AI.

• A corporate blog post about SEO? Definitely AI.

But when the writing feels raw—when it captures something real—AI detectors start failing.

And that’s the scary part. Because ChatGPT writing isn’t just copying formulas anymore. It’s learning how to sound like us.

For now, AI struggles with the messiness of human thought. The little contradictions, the doubts, the emotions that don’t always fit into perfect sentences.

But it’s getting closer.

And if AI can start fooling not just people, but the very tools built to detect it… what happens then?

III. The Theft Behind AI’s Writing Ability

I wish I could tell you that ChatGPT writing comes from a place of innovation or collaboration, but the truth is much messier.

The reason AI like ChatGPT writes so well is because it was trained on content it shouldn’t have had access to—stolen books, articles, and stories.

1. The Copyright Problem

When OpenAI trained ChatGPT, they didn’t go out and buy legal rights to all the material they used. They scraped it.

What does that mean?
It means content from copyrighted books, news websites, and other written works was taken without permission to build the model.

And now, the lawsuits are piling up.

2. Who’s Suing OpenAI?

Here’s a glimpse of the growing list of plaintiffs:

• The New York Times

• Major news organizations like CBC, Postmedia, and the Toronto Star

• Famous authors, including John Grisham, George R.R. Martin, and Jodi Picoult

These lawsuits are about more than just money. They’re about stolen intellectual property—the words and ideas these people worked years, sometimes decades, to create.

3. OpenAI’s Defense

In court, OpenAI admitted that paying for legal, licensed training data would be “cost-prohibitive.”

Translation: It was cheaper to take it.

But does saving money justify taking something that doesn’t belong to you?

What This Means for ChatGPT Writing?

Every time you read something generated by ChatGPT, you’re seeing the results of content that was never meant to be used this way.

It’s hard to separate the convenience of AI writing from the cost it’s already had on creativity, journalism, and literature.

And the scariest part? The people whose work was stolen may never fully get it back.

IV. ChatGPT Writing Is Big Business—But at What Cost?

OpenAI made $3.7 billion in 2024. Next year, they’re projected to hit $11.6 billion.

That’s the kind of growth that makes headlines, the kind that makes investors drool. But here’s the uncomfortable truth: this success wasn’t built on innovation alone.

It was built on stolen content.

1. Mass Profits, Mass Infringement

The core of ChatGPT writing lies in the vast amount of content it was trained on—books, articles, essays—most of it scraped without permission.

OpenAI admitted in court that paying for proper, licensed training data would have been “cost-prohibitive.” Instead, they just took it.

And now, writers, journalists, and entire industries are left wondering:
Where does this leave us?

2. The Good Side of AI (It Exists, But It’s Not Here)

AI isn’t all bad.

• It’s helping doctors detect cancer earlier.

• It’s giving deaf children tools to read and communicate.

• It’s protecting endangered species by analyzing ecosystems.

These are the stories that make AI sound like a superhero. But ChatGPT writing? It’s not saving lives.

What it’s doing is replacing human creativity with words borrowed—or outright stolen—from people who never agreed to be part of this.

3. A Dark Trade-Off

Here’s the problem: AI like ChatGPT makes billions, but the people whose work it relies on? They get nothing.

Imagine spending years writing a novel, only to find pieces of your work regurgitated by an AI in someone else’s blog post. Or a newspaper struggling to stay afloat, while AI uses its archives to generate cheap content.

It’s not just unfair—it’s devastating to the industries that created the content in the first place.

4. Can We Afford This Success?

The rise of ChatGPT writing isn’t just about technology moving forward. It’s about who gets left behind in the process.

OpenAI is making billions, but at what cost? Human creativity? Journalism? Literature?

We’re trading something deeply personal—our stories, our voices—for something efficient, and I’m not sure we’ll like where it takes us.

V. The Internet is Already AI-Generated – and We’re Letting It Happen

I saw a number the other day: 57.1% of the internet is now AI-generated text.

Not "will be." Not "might be." Already is.

I thought maybe people would care. Maybe there would be some kind of pushback, some outrage. But mostly, there’s just… silence.

1. The Problem Isn’t That AI is Writing. It’s That No One Cares.

People like to act like ChatGPT writing is harmless. Just another tool, like spellcheck or Google Translate. But this isn’t about convenience.

This is about AI-generated content drowning out real voices.

It’s about fake reviews, soulless articles, and automated spam clogging up search results. It’s about real writers struggling to compete with something that doesn’t need sleep, a paycheck, or inspiration.

And still, no one seems to care.

2. AI-Generated Content Is Winning by Default

This isn’t happening because people love ChatGPT writing. It’s happening because it’s easy. It’s fast. It’s cheap.

Companies don’t care if a blog post has depth or originality, as long as it ranks on Google. Publishers don’t care if an article has a real voice, as long as it fills a content quota.

And readers? Most of them don’t even realize they’re consuming AI-generated text.

Conclusion: Will People Wake Up Before It’s Too Late?

ChatGPT writing is everywhere now. More than half of the internet is AI-generated, and it’s spreading fast. The problem isn’t just that AI is writing—it’s that nobody seems to care. Writers, readers, and creators should be furious, but most people are scrolling past it like it doesn’t matter. Maybe they think it’s harmless. Maybe they think it’s inevitable. Maybe they just don’t want to fight a battle that already feels lost. But here’s the thing: this isn’t just about AI replacing writers. It’s about what we’re willing to lose. The internet used to be a place where real people shared real thoughts, where creativity had meaning. Now, it’s being filled with machine-generated words, stripped of human experience. And if we don’t care enough to stop it, then maybe we deserve what comes next.

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