news organizations from late 2022 through the end of 2025.
According to ASU's account of the report, the most common uses were summarization, drafting, transcription, translation and workflow automation. The researchers also identified projects for public-meeting monitoring, document analysis, investigative research and podcast monitoring. A smaller group of projects addressed civic-information services, including property taxes, evictions, restaurant inspections and immigration questions.
The report finds that newsroom AI efforts have mostly accelerated existing production work rather than changed how journalism is produced, distributed or funded. It also says relatively few cataloged projects targeted revenue, subscriptions or fundraising, despite interviewees' concerns about traffic, audience behavior and news economics. Adoption was concentrated among larger national outlets, well-funded digital-native organizations and some nonprofits.
The ASU article describes the report's dataset and conclusions, but does not establish that the catalog is exhaustive, that these projects succeeded commercially, or that its findings represent newsrooms outside the United States. Source: https://news.asu.edu/b/20261015-after-3-years-ai-newsrooms-what-has-changed