Here is a 6-paragraph, humanized summary of the CBC investigation into the man quietly running a global AI content empire from Vietnam.
At first glance, the empire looks like nothing at all. If you scroll through your social-media feed or type a vague question into Google, you’ve probably seen its products without noticing: a recipe that doesn’t make sense, a celebrity “news story” with a photo of people who never met, a health article written by someone whose smiling face isn’t a real face. These are examples of the phenomenon the CBC calls “AI slop” — low-quality, mass-produced content generated by artificial intelligence, designed not to inform but to get clicked, shared, and monetized. Most people who see it don’t know who made it; they assume it’s just a strange by-product of the modern internet. But behind one sprawling network of AI-written websites, YouTube channels, and social-media pages, CBC journalists found a single operator: a young man in Vietnam. He ran his empire from an ordinary apartment, with no office and no staff, using tools like ChatGPT, AI image generators, and automated publishing software. He was not a tech genius, not a billionaire, not a savvy marketing executive. He was just someone who realized that artificial intelligence had made content production almost free, and that the online advertising system still pays for attention. The CBC spent months trying to find him. The result is a portrait of an invisible industry — and of the very human person quietly running one corner of it.
To understand what this man was doing, you have to understand what “AI slop” means and why it has become so profitable. For decades, the internet was filled with human-made content: people wrote articles, filmed videos, took photographs, and shared their lives. But AI changed the math. Now, a single person can generate hundreds of articles a day by typing a few sentences into a chatbot, adding a few fake images, and letting software publish them automatically. The content doesn’t have to be accurate or thoughtful. It just has to match the topics people are searching for — things like money, health, celebrity gossip, weddings, and online income. The man in Vietnam built websites with headlines engineered to get clicks: “Top 10 Foods That Lower Blood Pressure,” “She Didn’t Know the Camera Was On…,” “Why Your Car Insurance Is Lying to You.” Behind those headlines were automated paragraphs, often filled with sentences that repeated themselves, weird contradictions, and advice that could be dangerous if taken seriously. But the ads around those paragraphs were real. Every click generated a tiny bit of money, and when the content went viral — shared on Facebook, recommended by YouTube’s algorithm, or ranked high in Google search results — the tiny bits added up. He wasn’t making millions, but he was making enough to live on comfortably in Vietnam. And because he was hidden behind fake names, fake faces, and a tangle of websites, he believed no one would ever find him.
The investigation didn’t begin with a grand theory. It began with a single piece of strange content that led CBC journalists down a rabbit hole. They started by looking at the websites behind a cluster of viral posts and noticed something: even though the sites had different names, different logos, and different topics, they were all connected behind the scenes. They shared the same advertising account, the same Google Analytics code, and the same hidden software that automatically generated pages. The same AI-generated “author” photos appeared across many sites, sometimes with different names attached. One photo of a smiling woman in her thirties was billed as a nutritionist on one website, a finance expert on another, and a dating coach on a third. That was the first clue. The journalists also found that the websites were buying ads on Facebook and Instagram, targeting users in North America and other English-speaking countries. By tracing those ad accounts, the payments, and the domain registration records, they started to see a pattern. Many domains were registered with privacy protection, but not all of them. Some had email addresses that belonged to the same person. A telephone number first appeared in a public registration record, connected to a messaging app. From there, they found a Facebook profile with a matching name — a young man in Vietnam, posting in Vietnamese about “AI business,” sharing screenshots of his earnings, and even posting about his fear of getting caught. It wasn’t a police investigation, just careful digital detective work. But step by step, the internet’s invisible ghost became a real person.
After weeks of tracing, the trail ended in Vietnam. The CBC team travelled there, not with drones or secret cameras, but with the same evidence that had led them across the internet. They found a neighborhood, a building, a door. When they knocked, the man answered. At first, he was stunned. For a few moments, he insisted they had the wrong person. But when the journalists showed him the connections they had found — the email addresses, the payment receipts, the AI-generated photos, the ads that had made him money — he went quiet. Then he admitted it. Yes, he ran the websites. Yes, it was all AI-generated. Yes, he had known it might catch up to him eventually. He wasn’t angry, and he didn’t try to run. He seemed almost relieved, in a strange way, that someone had finally found him. Sitting there, he didn’t look like a master of a media empire. He looked young, tired, and a little embarrassed. He explained that he had grown up in a country with few opportunities and that he had learned English online, watching YouTube videos and reading articles. When he discovered AI, he saw it as a way out. He could earn in dollars while living in Vietnam. He could work from home, at his own speed, with no boss. “I’m not trying to hurt people,” he said. “I’m just trying to survive.”
He eventually agreed to talk more openly about how the empire worked. It was astonishingly simple. He used a chatbot to write rough articles. He used AI image tools to create fake people, fake places, and fake situations. He used another tool to turn text into robotic videos with computer-generated voices. Then he scheduled those articles and videos across a network of websites and channels, some of which he had created years earlier. He would test headlines, delete what didn’t perform, and double down on what did. The algorithm did the rest: Google pushed his articles up in search results, YouTube recommended his videos, Facebook spread his posts to older audiences who were less likely to recognize red flags. He created content in English, and sometimes in other languages, because English ads paid more. In a good month, he earned enough to pay for rent, meals, and more tools to expand. He admitted that some of the content was misleading. He said some was harmless entertainment, but he also acknowledged that the “health” articles could trick people and that the “celebrity” stories were sometimes completely invented. He talked about the numbers like a student talking about a video game: views, watch time, click-through rates, ad revenue. He said he knew the internet was getting worse because of what he and people like him were doing. But he also felt trapped. “If I don’t do it, someone else will,” he said. “The money is too good. It’s not illegal. The platforms pay me. They could stop it, but they don’t.” In his mind, he wasn’t the villain. He was just a small player in a system that rewards whatever gets attention.
Maybe the most unsettling part of the story is how ordinary it all is. The man in Vietnam isn’t some criminal mastermind. He didn’t hack anyone, steal anyone’s data, or overtly break the law. He used the same AI tools that millions of people use, and he put them to work in a way that the internet’s own structures happily rewarded. The platforms talk about fighting misinformation, but their algorithms thrive on engagement; AI slop gets engagement. The advertising system talks about brand safety, but it places ads next to whatever will be seen; AI slop gets seen. And governments are still struggling to understand how to regulate technology that can produce endless, convincing, false content at almost no cost. The CBC investigation shows that the problem isn’t just one man in Vietnam. It’s a global industrial machine, and he’s just one of thousands of operators doing the same thing. Still, the story ends with something uniquely human. Before the journalists left, he asked them an obvious question: “What happens now?” He was worried about losing his income, about his family, about being exposed. He wasn’t worried about being right or wrong; he was worried about his future. There is something almost sad about it. He had built a secret empire out of thin air, not because he hated the world, but because he wanted a better life. And in doing so, he contributed to a quieter, more crowded, more polluted internet — one where it becomes harder and harder to know what’s real, who made it, and why it exists. That is the real cost of AI slop, and it’s paid far beyond Vietnam. It’s paid every time a real article loses attention to a fake one, every time a person is misled by advice that was never tested, and every time we scroll past another weird, hollow post and wonder if anyone actually believes it.