When almost anything can be produced in seconds, the scarce thing is no longer content. It is credibility. People want to know what is real, who stands behind it and whether anyone applied judgment before it was pushed into the world.
That is where proper journalism still has an edge.
There is another shift underway as well. AI systems are increasingly relying on established media when they assemble answers. Not because they care about journalism in any civic sense. They don’t. But because they need sources they can find, date and attribute. They need facts gathered by people who know what they are doing.
There’s a certain irony in that.
For years, parts of the tech world treated journalism as expensive, inconvenient and ripe for disruption. Yet the more synthetic the information market becomes, the more valuable original reporting becomes. AI can remix, summarise and imitate. It can’t turn up, test a claim, ring a source, weigh competing accounts and decide what is solid enough to publish. It depends on others doing that work first.
That’s good news for New Zealand media.
We are a small market, and often that’s seen as a weakness. But small also means close to the ground. Our best journalists understand the fabric of this country in a way offshore systems never will. They understand our politics, our regulators, our boardrooms, our regions and our fault lines. They know when a story is genuinely significant and when it’s just hot air. They know the difference between a Wellington drama, an Auckland corporate scrap and a provincial issue that the rest of the country hasn’t noticed yet but should.
That local understanding matters even more in an AI age.
If someone asks an AI tool about a New Zealand company under pressure, a minister in trouble, a regulatory battle or a reputational mess, the quality of the answer will depend heavily on the quality of the underlying reporting. And when it comes to New Zealand, the best reporting is usually produced here, by people who know the place.
None of this means the media business model problem has vanished. It hasn’t. AI summaries may make journalism more influential in the information chain while making publishing economics even harder. Both things can be true at once.
But influence and trusted sources are more important than ever.
That has implications beyond the media. Independent media coverage has often been treated as secondary to advertising and a company’s own platforms.
We’ve seen political leaders try to sidestep mainstream media by going direct to voters through their own social media channels. But AI is reinforcing the importance of credible third-party reporting.
There is a broader public interest in that, too.
A healthy media sector is not just good for journalists. It is good for markets, accountability and confidence. Countries make better decisions when serious reporting exists to test claims, scrutinise power and establish a common fact base.
Of course, none of this lets the media off the hook. If trust is rising, it is doing so from a low base. News organisations still need to earn it every day. Readers are entitled to expect clearer separation between reporting and opinion, fewer lazy errors, less manufactured outrage and higher standards than the online swamp surrounding them.
But that is the point. In a world flooded with AI-generated content, trust is what sets serious journalism apart.
The old assumption was that technology would make journalism less important. What may turn out to be true is the opposite: the more AI noise there is, the more valuable the real thing becomes.
Trish Sherson is a director and co-founder of corporate affairs firm Sherson Willis.