AI Pays Millions for News, But Reporters Struggle

Jan de Vries · 2026-05-22

We have seen a lot of headlines about AI companies cutting huge checks to major publishers. OpenAI, Google, and others are spending millions to license news content for training their models. But here is the thing: that money is not trickling down to the people actually writing the stories. Freelancers and smaller newsrooms are getting left behind, and it is raising some serious questions about who really benefits from this AI gold rush. ### The Big Deals Are Only for Big Players When you hear about AI firms paying for journalism, it is almost always about deals with giants like The Associated Press, The New York Times, or Axel Springer. These are multi-million dollar agreements that sound great for the industry. But think about it. That money stays at the top. It pays for corporate overhead, executive bonuses, and maybe a few staff writers. For the freelancer who is pitching stories to local papers or the small digital outlet covering niche topics, none of that cash ever shows up in their bank account. The system is set up to reward scale, not the actual work of reporting.  ### Why Freelancers Are Feeling the Squeeze If you are a freelance journalist, you probably already know the struggle. Rates have been stagnant for years, and now AI is making things worse. Publishers are using AI tools to generate summaries, rewrite press releases, and even produce entire articles. That means less work for human writers. Even when a publisher gets a licensing deal with an AI company, they often use that money to invest in more automation, not to hire more freelancers. It is a vicious cycle. The people who produce the original reporting—the ones who actually go to city council meetings, interview sources, and fact-check—are seeing their value drop. Meanwhile, the AI companies get access to all that work for a fraction of what it would cost to pay reporters fairly. ### The Real Cost of AI Journalism Let us break down what is happening. A typical freelance article might pay around $200 to $500 depending on the outlet and topic. That is for hours of research, interviewing, and writing. Now an AI model can generate a similar piece in seconds using data scraped from thousands of articles. The publisher saves money, but the quality suffers. AI lacks context, nuance, and the ability to ask follow-up questions. It cannot build trust with sources or spot a lie in a press release. Yet the financial incentive is all on the side of cutting costs. We are seeing a race to the bottom where speed and volume are prioritized over accuracy and depth. ### What This Means for the Future of News Here is the hard truth. If we keep letting AI companies profit from journalism without paying the journalists, we will end up with a media landscape filled with generic, error-prone content. The unique voices and local perspectives that make journalism valuable will disappear. We need a different approach. Some people are calling for a collective licensing model where AI companies pay into a fund that is distributed to individual writers and small newsrooms. Others want stronger copyright laws that require explicit consent for using news content in AI training. Whatever the solution, it is clear that the current system is broken. The money is flowing, but it is not reaching the people who need it most. ### A Personal Take I have been watching this play out for a while now. I talk to journalists who are terrified about their future. They see their work being used to train models that will eventually replace them. It is not just about money. It is about respect for the craft. Journalism is a public good. It holds power accountable, informs communities, and tells stories that matter. If we let AI commoditize that without fair compensation, we all lose. The next time you see a headline about a big AI deal with a publisher, ask yourself: who is really getting paid? Chances are, it is not the person who wrote the story.