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Pete PachalCoinDesk |
Newsrooms spent three years making the old thing cheaper. Opportunity AI asks: What could readers get from you that they never could before?
Better tools keep producing worse reactions. For the media, the only answer left is a name the audience can hold responsible.
The industry has given publishers every reason for suspicion. Smart ones turn it into a monitoring system, not a blackout.
Readers judge writing long before any tool runs, which leaves newsrooms managing credibility rather than AI use.
Publishers will never stop all the scrapers. The fight worth having is over what AI does with the content once it has it.
OpenAI is building an ad business, and it runs on clicks. Publishers are the credibility layer that makes it work.
The difference in their methods shows what separates a smart filter from a blunt one.
The rise of AI-assisted journalism is forcing newsrooms to rethink what a byline actually means.
Publishers won’t win AI by hiding from it. They’ll win by controlling access to the work that gives them authority.
As Google’s AI summaries become a default layer between publishers and readers, accuracy is no longer just the platform’s problem.
Social and AI now reach more people than any news site or broadcast. When readers doubt the machine, they check it against a name they trust.
The pullback of Anthropic’s next-gen model marks the moment frontier AI moved from technical promise to political and operational reality.
As bots overtake human visitors, the publishers who win will be the ones who learn to price their content for the machines reading it.
Skepticism of AI and infrastructure constraints may drive up the cost of computing power. Leaders will need strong governance to keep innovating.
Google’s new AI ad formats could weaken publisher traffic, but they also reveal why credible media still matters.
The fight for attention is shifting from clicks to citations, and that could reward better journalism—if bots can find it.
A shadow industry of data middlemen is turning publishers’ work into fuel for AI agents—and forcing media companies to rethink what “outputs”...
The Emily Hart case shows the gap between what platforms say about AI transparency and what users actually see in their feeds.
The promise of ‘liquid content’ is that every story can become video, audio, or something else. But do audiences want it?
Most readers start looking for information with AI. Publishers need a new audience map to meet them where they are.
As more journalists experiment with AI tools, a high-profile misstep shows how easily trust can break down.
The rise of AI agents could automate much of newsroom operations, leaving human journalists to focus on taste, judgment, and trust.
AI is reshaping search, but it hasn’t erased the value of reporting. The real opportunity may lie in what publishers do after the story breaks.
In the AI era, the winners won’t be the publishers with the most clicks. They’ll be the ones that give audiences something algorithms can’t replace.
After years of fragmented pushback, publishers are beginning to organize around a simple goal—making AI companies pay for access.
Agentic AI is creating a divide between builders who shape how work happens and users who must adapt to it.
If bots can reliably draft copy, ‘something big’ might be happening to the job of a journalist.
All the mainstream attention on AI is creating pressure for journalists to increase their output. Here’s what they should do instead.
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