What People Actually Pay For
AI can't replace the thing people actually pay for. But most newsrooms haven't built it yet.
The fear has a specific shape. AI gets good enough at writing — really good, passably-indistinguishable-from-human good — and newsrooms discover they no longer need as many reporters. The content keeps coming. The lights stay on. But the journalists are gone.
It’s a coherent fear. And it’s wrong — but only conditionally.
AI isn’t going to replace journalism. It’s going to replace what too many news organizations have been calling journalism: the commodity content, the wire rewrites, the SEO plays, the press release transforms. If newsrooms respond to that threat by doubling down on exactly the kind of work AI is about to make free, the fear becomes a self-fulfilling prophecy. But if they recognize what AI actually can’t touch — the relationships, the trust, the community infrastructure that makes people feel like they belong to something — then the threat lands in the wrong place entirely.
The whole argument turns on a question the industry has been avoiding: what are people actually paying for when they pay for news? The answer, it turns out, is not what most paywalls are selling.
This argument isn’t new. Jeff Jarvis has been making versions of it for years. The Membership Puzzle Project documented it. De Correspondent built a publication around it. And the Reuters Institute’s most recent research on the AI information ecosystem essentially arrives at the same conclusion — that publishers using AI to produce more content efficiently may be “accelerating the very commoditisation that threatens them.”
What’s new is that the industry’s failure to act on it is no longer theoretical. The reckoning is here.
A Quick Disclaimer: Backstory & Strategy is a personal, independent publication. The views, analysis, and commentary expressed here are strictly my own and do not represent the official position, strategy, or endorsement of the American Press Institute, its leadership, or its board. This is my personal space for analyzing the media landscape, testing new frameworks, and thinking out loud.
The Data Everyone Cites — And What It Actually Says
By now, the Pew numbers are practically a ritual invocation in journalism strategy conversations: 83% of Americans haven’t paid for news in the past year. Of the people who hit paywalls regularly — and 74% of adults do — only 1% say their first instinct is to pay. Everyone else looks for it for free somewhere else, or just gives up.
The obvious read: people don’t value news enough to pay for it. Case closed, industry in crisis, AI will finish the job.
But here’s the data point that should stop everyone cold. In the same research environment, 74% of Americans say they trust their local news organizations, and 85% believe local news outlets are at least somewhat important to their communities.
Trust. Perceived civic importance. But won’t pay.
That’s not apathy. That’s a product mismatch.
People aren’t refusing to pay for something they don’t care about. They’re refusing to pay for something they believe should be free — the same way they believe the fire department should be free, or the public library, or the sidewalk. News, in the dominant consumer mental model, is civic infrastructure. You don’t subscribe to the sidewalk.
That framing doesn’t excuse news organizations from the responsibility to build sustainable revenue. But it does tell you something important: paywalls were always trying to monetize something people experience as a public good. AI doesn’t create that problem. It just accelerates a crisis that was already baked in.
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What People Actually Pay For
Here’s what the deeper literature tells us: when people do pay for news, they are largely not paying for content. They’re paying for identity, belonging, and mission alignment.
The Reuters Institute has documented this carefully. Among long-term subscribers — the ones who don’t churn — the dominant pattern isn’t “I pay because this outlet has the best articles.” It’s “this outlet speaks to me and for me.” Loyal subscribers describe their news brand as the lens through which they interpret the world — a cognitive and emotional home base, not a content vendor. In the U.S. specifically, 38% of subscribers cite “funding good journalism” as a reason for their subscription — not accessing it, funding it. That’s a donor posture, not a consumer one.
The American Press Institute’s own Media Insight Project research surfaces the same signal from a different angle: younger subscribers — the cohort everyone’s chasing — are more likely than older ones to cite supporting a news organization’s mission as the reason they pay. Not the content. The mission. The most recent API/MIP study found that nearly 7 in 10 Americans pay for some form of news product when you include mission-driven support alongside traditional subscriptions.
The LION Publishers data tells the same story from the revenue side. Among independent nonprofit news outlets, major individual gifts — the most explicitly mission-driven form of support — saw the largest single year-over-year jump in 2024, growing from 43% to 53% of members reporting it as a significant revenue stream. People are choosing to give, not just subscribe.
Even behavioral retention data points this direction. Medill’s Spiegel Research Center analyzed 13 terabytes of subscriber behavior across major local news outlets and found that the single biggest predictor of keeping a subscriber wasn’t how many articles they read or how long they spent reading. It was frequency — how often they came back. Habit. Ritual. The daily return that signals this is part of my life.
That’s not a content relationship. That’s a community relationship.
The Strongest Organization in Nonprofit News Just Proved Why That's Not Enough
A Quick Disclaimer: These thoughts are mine alone. They don’t necessarily reflect the official position of my colleagues or the leadership at the American Press Institute. While my work a…
What AI Can and Cannot Replace
Now we can be precise about the threat.
AI is very good at generating content. It’s getting better fast. It will eventually produce competent, accurate, indistinguishable-from-human coverage of earnings reports, city council votes, sports scores, weather events, and breaking news summaries. The marginal cost of commodity journalism is heading toward zero — and for outlets whose value proposition is “we publish articles,” that is, in fact, an existential problem.
But here’s the thing: it was always going to be an existential problem. The audience was already telling you they didn’t value that work enough to pay for it. AI just makes the economics of continuing to produce it untenable.
What AI cannot do is give someone a sense of belonging to their city. It cannot make a reader feel that this outlet gets us in the way that a beat reporter who’s covered the school board for a decade gets us. It cannot generate the trust that comes from a journalist who showed up when something went wrong and stayed until it was right. It cannot build the habit of returning because the product has become part of someone’s morning — their daily ritual for feeling located in a community that matters.
The reporters most vulnerable to AI are not the ones doing the hardest journalism. They’re the ones doing the most replaceable journalism — the wire rewrites, the SEO traffic plays, the press release transforms. That work was never what made people feel connected. It was always filler, and AI is extraordinarily good at filler.
The reporters doing irreplaceable work are the ones whose presence in a community is the product. The columnist whose readers feel seen. The investigative team whose work makes people feel protected. The local voice that is, as Reuters Institute research puts it, simply “part of my life.”
The Choice the Industry Has to Make
So the fear that AI will replace reporters is misplaced — but only for the reporters, and the news organizations that have built something AI can’t commoditize.
For outlets that have been surviving on commodity content and calling it journalism, the fear isn’t misplaced at all. It’s directionally accurate. AI will not replace those reporters so much as reveal that what they were producing was already indistinguishable from what a machine could generate. The crisis was latent. AI is just the forcing function.
The correct response is not to find better AI tools to defend existing content operations. It’s to ask a harder question: have we built something that makes people feel like they belong to it?
That means investing in the beat reporter who has been covering this neighborhood long enough to know which city council member is lying and which one is just confused. It means building membership architecture that makes readers feel like stakeholders, not subscribers. It means events, presence, and the slow, unsexy work of becoming woven into the fabric of a community’s daily life.
It means accepting that the product was never the article. It was always the relationship.
And the news organizations that understand that — the ones that have been building toward belonging rather than traffic — are going to look at the AI moment very differently than the ones still optimizing their content calendars. For them, the threat doesn’t land where everyone is pointing. It lands somewhere AI genuinely cannot follow.
You just have to earn the thing AI can’t copy. And if you haven’t been doing that, now would be a good time to start.
I want to know what you think. Is the “community is the product” frame landing in your newsroom — or does it still feel like an aspiration rather than a strategy? Are there organizations you’ve seen actually pull this off? Hit reply or leave a comment. I read everything.
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