AI is strong at quickly producing text based on available information. In an editorial environment there are tasks where that is useful:

• Data journalism: From a dataset with figures to a first text draft that an editor supplements with analysis and context
• Newsletters and summaries: Weekly newsletters compiled from existing articles
• SEO variants: Alternative headlines, meta descriptions, and subheadings for articles
• Translations: Making articles available for an international audience

In all these cases the human editor has not disappeared but is differently positioned: more focused on curation, interpretation, and quality control, less on filling blank pages.

There are areas where AI fundamentally falls short for journalistic work:

• Investigative journalism: Approaching sources, requesting documents, interviewing people — that requires human presence and trustworthiness.
• News gathering: AI does not generate news, it processes information that is already available. Exclusive stories require human networks and insights.
• Interpretation and analysis: AI describes patterns but does not understand them. Depth and perspective come from people.
• Factual accuracy: AI hallucinates. In a journalistic context, one error is already too many.

Media companies that use AI for substantive journalistic output without human oversight risk their credibility.

Beyond content production, AI also offers opportunities for distribution. Based on reading behaviour and preferences, AI can make article recommendations. A personalised newsletter compiled based on the subscriber's profile leads to higher open rates and greater engagement.

Technically this requires a combination of reading behaviour tracking (with privacy safeguards), a recommendation model, and a system that dynamically assembles the newsletter.

Some journalistic content is highly standardised: stock market news, sports scores, weather reports, municipal announcements. These are reports with a fixed structure and factual data as the basis. AI can produce this type of content fully automatically.

This is a legitimate application as long as the output is clearly automated or checked. The AP and Reuters have been doing this for financial reports for years.

The use of AI models raises copyright questions. Models are trained on existing content; when generating text, that can lead to unintended similarity with source material. Media companies need to be aware of this risk and follow legal guidelines for using AI-generated content.

Also ensure transparency towards readers: if content is (partly) generated by AI, it is fair to mention that.

AI is a productivity tool for the media sector, not a replacement for journalistic craftsmanship. Mach8 helps media companies and publishers build workflows that deploy AI where it is strong, so editors have more time for the work that truly matters.

Want to know more about AI-supported content production? View our content service or contact Mach8.