Last Saturday, the Bendigo Advertiser published match reports for twelve local football and netball games. Nothing remarkable about that, except that at least four of those reports were drafted by an AI system before being checked by a human editor.

It’s a trend that’s spreading quietly across regional Australian media. Papers that lost staff years ago and can’t afford to send reporters to cover under-12s cricket are turning to AI to fill the gap. And honestly? The results are more interesting — and more complicated — than you’d expect.

Why Local Sport Is the AI Test Case

Local sports coverage is the ideal candidate for AI-generated content. The inputs are structured: scores, stats, player names, team lineups. The outputs follow predictable templates: who won, by how much, who were the best players, what it means for the ladder.

Nobody’s expecting Pulitzer-quality prose from a Division 3 netball writeup. They just want to know the score, who played well, and whether their kid’s team won.

The problem is that covering local sport properly requires bodies on the ground — reporters at grounds, stringers calling in results, volunteers submitting scorecards. Regional newspapers have been shedding these contributors for years. The Public Interest Journalism Initiative has tracked the decline, and it’s grim: hundreds of regional publications have closed or reduced their output since 2020.

AI fills a genuine gap here. It’s not replacing journalists who were already covering these games. It’s covering games that nobody was covering at all.

How It Actually Works

The workflow varies, but a common setup looks like this: league administrators or team managers submit scores and basic stats through a form — either a dedicated app or a simple Google Form. The AI system ingests the data and generates a 200-400 word match report.

Some systems are more sophisticated. They pull historical data to add context: “This was Eaglehawk’s first win in six weeks” or “Castlemaine has now won seven straight at home.” They can generate quotes from player-of-the-match winners if the information is submitted.

An editor reviews the output, fixes any obvious errors, and publishes. The whole process from score submission to published article can take under 30 minutes for a dozen games.

The Warrnambool Standard has been trialling a version of this since late 2025. Their editor told me they’re now covering about twice as many local fixtures as they were 12 months ago, with the same editorial staff. The AI handles the initial draft; humans handle the quality control.

The Quality Question

Here’s where it gets interesting. I’ve read dozens of these AI-generated match reports, and the quality is… fine. They’re competent, accurate (assuming the input data is correct), and structurally sound.

But they’re also soulless.

There’s a difference between “Smith kicked four goals in the third quarter” and the kind of colour that a reporter who was actually at the ground would provide. The wind howling across the oval. The controversial umpiring decision in the last minute. The 15-year-old kid playing his first senior game and looking absolutely terrified.

AI can tell you what happened. It can’t tell you what it felt like to be there. And for many readers, that feeling is the entire point of local sports coverage.

The papers that are doing this well understand the limitation. They use AI for the basic match reports — the results, the stats, the ladder implications — and reserve their human journalists for the stories that actually need a human perspective. Feature profiles. Controversy. Community impact.

The Ethics Aren’t Settled

Not every paper is transparent about what’s AI-generated and what isn’t. Some label AI-assisted content clearly. Others don’t disclose it at all.

The Media Entertainment and Arts Alliance hasn’t issued definitive guidelines on AI-generated local content yet, though they’ve flagged concerns about transparency and labour displacement. The Australian Press Council’s principles on accuracy and transparency arguably require disclosure, but enforcement in the regional space is practically non-existent.

My view: readers have a right to know when they’re reading AI-generated content. Full stop. The “well, it’s only local sport” argument doesn’t hold up. If you won’t tell your readers, you know they’d care if they found out.

The Deeper Question

There’s a version of this that’s genuinely positive. Regional papers use AI to expand coverage of local sport that was otherwise going uncovered. Communities get more visibility for their teams. Papers get more content and more page views. Everyone wins.

But there’s also a version that’s concerning. Papers use AI-generated sports content to fill pages cheaply, further reducing the business case for hiring actual journalists. The content looks like journalism but functions more like automated data reporting. Communities get more words but less actual journalism.

The difference comes down to intent and execution. Are you using AI to cover what you couldn’t cover before, or to avoid covering what you should be covering with real journalists?

The papers I’ve spoken to in regional Victoria and Queensland are mostly in the first camp. They’re genuinely trying to serve communities better with limited resources. But as the technology improves and the economics get more tempting, the line between expanding coverage and replacing journalism will get harder to hold.

What Comes Next

The next evolution is obvious: AI-generated video highlights. Several regional leagues already have fixed cameras at grounds for livestreaming. Feeding that footage through AI to generate highlight packages is technically achievable today.

Imagine a local footy club’s Facebook page automatically posting a two-minute highlight reel with AI-generated commentary within an hour of the final siren. That’s coming, probably within the next 12 months.

Whether that’s progress or just content depends entirely on whether real journalism continues alongside it. AI can handle the commodified stuff — scores, stats, highlights. But the stories that matter to communities need humans. And the moment we forget that distinction, we’ve lost something worth keeping.