Why I’m Skeptical About the AI Content Gold Rush—and What It Means for News Writers

The Hype vs. the Reality

Every few months, a new tool promises to change everything. Right now it’s AI video. Last year it was AI writing. The pattern is always the same: a wave of excitement, a flood of posts, and then a quiet scramble to figure out how anyone actually makes money. I spent weeks producing AI-generated video content, and I came away with a clear verdict: this isn’t the promised land.

It’s not that the tools are bad. They’re remarkable. But the economics are broken, the competition is brutal, and the people who win are rarely the creators. For anyone in news writing—where trust, accuracy, and speed are the currency—the AI content boom is a cautionary tale, not a playbook.

The Real Costs Nobody Talks About

Here’s what nobody tells you about AI video: it eats your time. You’re not just writing a script. You’re the director, the cinematographer, the set designer, the editor, and the sound engineer. Each role has its own craft, its own tricks, its own failure modes. A single three-minute video can take days of fiddling with prompts, re-rendering, and fixing glitches.

And the money? It’s not free. You pay for compute, for subscriptions, for the credits that burn through your wallet faster than you’d think. One project can cost hundreds of dollars in API calls alone. The math gets ugly fast.

Time Is the Hidden Tax

I’ve spent entire weekends on a single piece of content. The output looks slick, but the hours add up. For a news writer, that’s time you could spend reporting, interviewing, or fact-checking. The opportunity cost is real. AI doesn’t remove the work—it shifts it. Instead of writing, you’re debugging prompts and reviewing output for hallucinations.

Everyone’s a Creator, So Nobody’s Special

The biggest selling point of AI is access. Anyone can open a tool and make something that looks professional. That’s also the biggest problem. When everyone has the same tools, the same prompts, and the same stock footage, the output becomes interchangeable. There’s no barrier to entry, which means there’s no moat.

On platforms like YouTube or TikTok, attention is finite. Adding millions of new creators just dilutes the pie. For news organizations, this is a double-edged sword. AI can help produce more stories faster, but it also floods the ecosystem with low-quality, unverified content. Readers get tired of sorting through junk, and trust erodes for everyone.

Where’s the Money? (Spoiler: Not With You)

Ask any AI content creator about their revenue model, and you’ll get a lot of mumbling. There are no paywalls, no tip jars, no clear way to charge for what you make. Everything goes on free platforms, where the real winners are the platforms themselves.

Think of it this way: the platform is the landlord. Creators are the tenants. But instead of paying rent, the landlord gives you a tiny slice of ad revenue—if you’re lucky. The rest of the value flows upward. The platform gets engagement, the tool providers get subscription fees, and the course sellers get your money for “how to do it” guides.

The Landlord Always Wins

Platforms like YouTube and TikTok are designed to keep you producing. They want you to generate content because that’s what draws viewers and advertisers. They don’t care if you make a living. They just need you to keep the machine running. It’s a system that rewards volume, not value.

For news writers, the same dynamic plays out with social media. You publish free articles, and the platform monetizes your audience. Your work becomes their product.

Can News Writing Survive the AI Flood?

I’m not anti-AI. I use it every day. It helps with research, brainstorming, and even drafting. But I refuse to treat it as a replacement for judgment. News writing is about verification, context, and accountability. AI can’t tell you if a source is credible or whether a story is newsworthy. It can’t interview a reluctant official or notice that a press release is hiding something.

That’s why I think the future of news isn’t in AI-generated articles. It’s in human insight. The value is in asking the right questions, connecting dots, and holding power to account. AI can be a tool, but it can’t be the reporter.

What’s Next for Creators and Journalists?

If you’re a news writer, you have options. You can resist the hype and focus on what you do best: original reporting. You can also learn to use AI as a research assistant, not a ghostwriter. The ones who thrive will be those who treat AI as a collaborator, not a replacement.

But there’s a bigger problem: the business model. Subscription newsrooms are struggling. Ad revenue is shrinking. And platforms are eating the margins. The AI content boom is just another cycle of the same story—technological change that benefits the powerful and leaves creators scrambling.

History Repeats, But You Can Adapt

This isn’t the first time we’ve seen this. It’s like the cabbage farmer’s tale: one year, cabbage prices soar, so everyone plants cabbage. The next year, there’s a glut, and farmers are left with rotting crops. Then they switch to peaches, and the cycle starts again. Some people miss the cabbage boom but hit the peach boom. Timing matters.

For journalists, the lesson is to stay flexible. Don’t marry a single platform or a single format. Build a direct relationship with your audience, whether through a newsletter or a podcast. Find a model that doesn’t depend on the goodwill of a tech giant.

The Bottom Line

AI content is a bubble. It’s exciting, but it’s not sustainable. The tools will improve, and some people will make money. But for the majority, it’s a race to the bottom. The ones who profit are the platform owners and the tool sellers, not the creators. That’s not a conspiracy; it’s just how the economics work.

I’m not saying don’t try. I’m saying go in with your eyes open. Know what you’re worth. Don’t give your work away for free. And never forget that the story matters more than the medium. In news writing, that’s the only edge you have.