Tomorrow night, somewhere in America, a reporter will sit through a school board meeting.
It won’t be glamorous. There will be budget discussions, policy debates, public comments, and motions that seem to go on forever. The reporter will take notes, ask questions afterward, verify names and vote counts, edit photographs, and eventually publish a story explaining what happened.
The following morning, a parent may wonder whether the board approved a new attendance policy. They open Google and type a simple question.
Instead of seeing a list of headlines and choosing which article to read, they receive an AI-generated summary.
The answer is there.
The search ends.
The parent never visits the newspaper or community news site that paid for the reporting.
The reporter still attended the meeting.
The journalism still happened.
The click simply never occurred.
That, in a nutshell, is one of the biggest changes taking place on the internet today.
For most readers, it’s convenient.
For publishers, it’s a business question.
For communities, it may become something much larger.
Every Generation Has Its Own Disruption
I’ve been watching journalism change for a long time.
In the late 1980s, I remember staying at hotels where copies of The Wall Street Journal or USA Today waited outside guest room doors each morning. Newspapers weren’t simply information; they were part of the travel experience.
A few years later, another hotel offered something that seemed remarkably modern. For a small fee, guests could receive a faxed summary of The Washington Post. It arrived on slick silver thermal paper, complete with the day’s major headlines.
Back then, it felt like the future.
Looking back, it was an early lesson that people often value convenience as much as the product itself.
Then came the internet.
In 1998, I launched the first daily online news site serving the Hispanic audience in the United States. We were part of a generation of publishers learning digital journalism as we went. There were no rule books. Every few years, another technology arrived promising to change everything.
Search engines.
Blogs.
Social media.
Smartphones.
Newsletters.
Podcasts.
Every one of those innovations changed how readers discovered journalism.
Artificial intelligence is different because it may change whether readers discover the publisher at all.
The Business Behind the Story
For years, publishers measured success in familiar ways.
Did readers find the story?
Did they click?
How long did they stay?
Did they subscribe?
Did advertisers receive enough impressions to justify supporting the publication?
The click wasn’t merely a statistic.
It represented the beginning of a relationship.
Someone who arrived to read about a city council vote might also discover a feature about a local nonprofit, coverage of high school sports, or an investigation into rising property taxes. They might subscribe to a newsletter or become a regular reader.
That relationship helped support the newsroom.
Today, many of those first encounters are changing.
Artificial intelligence increasingly attempts to answer the reader’s question before they ever visit the website.
That’s convenient for the reader.
It’s also a significant change in the economics of journalism.
The Research Is Beginning to Catch Up
I didn’t arrive at this conclusion because of one headline or one viral social media post.
I spent several months reading research from organizations that don’t normally work together but are studying different parts of the same problem.
Management consulting firm Bain & Company argues that search is evolving from a system that helps people find information into one that increasingly delivers information. In other words, search is becoming an answer engine rather than simply a directory of websites.
Search analytics company Ahrefs found that when Google’s AI Overviews appear, the top organic search result receives substantially fewer clicks than it once did.
SparkToro has reported that the majority of Google searches now end without sending users to another website at all.
Semrush has documented the growth of zero-click searches and AI-generated responses for informational questions.
Independent researcher Daniel Stanica tracked one hundred successful blogs over four years and found dramatic declines in organic search traffic across much of his sample.
Then came Growtika’s analysis of major technology publications. The report suggested that some of the internet’s largest tech news sites have experienced significant declines in estimated Google search traffic over the past two years. The authors were careful not to blame artificial intelligence alone. They pointed to several overlapping factors, including AI Overviews, changes in Google’s search results, and users increasingly turning directly to AI assistants instead of traditional search.
Press Gazette found that major news brands were losing traffic.
None of these studies proves the same thing.
Together, however, they suggest that something fundamental may be changing in how readers discover information online.
This Isn’t Just a Publisher Problem
It’s easy to dismiss this as an issue affecting media companies.
I don’t think it is.
Every community depends on someone showing up.
Someone attends the county commission meeting.
Someone requests public records.
Someone asks the uncomfortable follow-up question after the press conference ends.
Someone notices that the official explanation doesn’t match the budget documents.
Artificial intelligence cannot do those things.
It depends upon journalism that already exists.
If fewer readers reach the organizations producing that reporting, communities eventually face a larger question.
How do we continue paying for original journalism?
That isn’t an argument against artificial intelligence.
It’s a recognition that every business model depends on understanding where value is created and how that value returns to the people producing it.
The Answer Isn’t Panic
If you’ve read this far, you might think I’m predicting the end of local journalism.
I’m not.
Journalism has survived radio, television, cable news, the internet, social media, and smartphones. Each disruption forced publishers to adapt. Some disappeared. Others evolved.
Artificial intelligence will likely produce the same mixture of winners and losers.
In fact, AI is already helping many newsrooms.
Reporters use it to transcribe interviews, summarize lengthy public documents, search archives, translate stories, and improve accessibility. Those are genuine benefits, especially for smaller news organizations with limited staffs.
The challenge isn’t whether publishers should use AI.
Most already do.
The challenge is understanding how AI changes the path between the newsroom and the reader.
Asking Better Questions
One of the surprises while researching this topic wasn’t what I found.
It was what I didn’t.
There is surprisingly little research focused specifically on independent, hyperlocal, and nonprofit publishers. We have studies about blogs. We have studies about marketing. We have studies about technology websites. We have studies about search behavior.
What we don’t have are long-term studies asking how AI-powered search is affecting the economics of community journalism.
That’s a gap worth filling.
Because local journalism isn’t measured only in pageviews.
It’s measured in informed voters.
Accountable government.
Engaged neighborhoods.
Communities that know what happened at last night’s school board meeting because someone was there to report it.
The Click That Matters
That brings me back to the reporter sitting through tomorrow night’s meeting.
The meeting will still happen.
The reporter will still ask questions.
The story will still be written.
The only uncertainty is what happens next.
Will readers follow the familiar path from search engine to publisher?
Or will more of them receive the answer before they ever reach the newsroom that invested the time and money to produce it?
That’s not simply a technology story.
It’s a journalism story.
It’s a business story.
And ultimately, it’s a community story.
I have prepared a Publishers’ Brief examining the available research, what we know, what we don’t know, and what independent publishers can do as search continues to evolve.
The goal isn’t to predict the future.
It’s to understand the present.
Because tomorrow morning, somewhere in America, someone will search for the outcome of tonight’s school board meeting.
Whether they ever click on the story may determine more than they realize.