OpenAI показала, как редакции по всему миру применяют её ИИ в журналистике
OpenAI опубликовала обзор того, как новостные редакции по всему миру используют её ИИ. Компания выделяет три направления: усиление репортажей, рост аудитории и оптимизация бизнес-процессов. Конкретных цифр и названий изданий в анонсе нет — это тематический разбор, а не отчёт с метриками.
AI-processed from OpenAI Blog; edited by Hamidun News
OpenAI has published an overview on its website of how news organizations around the world are using its AI tools — to strengthen reporting, grow audiences, and improve business operations.
Three tasks AI solves
OpenAI highlights three areas where newsrooms are applying its technologies. According to the company's wording, AI helps journalists and publishers work more efficiently without replacing journalism itself.
- Reporting — processing large volumes of documents, transcribing interviews, fact-finding, and drafting.
- Audience — personalizing presentation, working with headlines and formats, attracting new readers.
- Business operations — automating routine processes within a publishing house.
OpenAI does not explicitly list which specific tools are involved in the announcement, but it is referring to its products — ChatGPT and the API — on which newsrooms build their own workflows.
Why newsrooms need this
Newsrooms turn to AI to take routine work off journalists' hands and free up time for reporting. Typical scenarios where neural networks are already being used in newsrooms worldwide include transcribing audio and video, translating materials, summarizing long documents, and initial data analysis.
For example, the Associated Press has been automating the release of financial and sports briefs using templates since 2014 — one of the earliest examples of AI in a newsroom.
For media, AI is both a way to speed up content production and a growth tool: personalized feeds keep readers engaged longer. At the same time, newsrooms retain human oversight: because of the risk of errors and "hallucinations," final fact-checking is left to journalists, and many major outlets have already published their own editorial policies on the use of neural networks.
How newsrooms apply AI in practice
Individual examples are already working publicly. The Washington Post launched the chatbot Ask The Post AI in 2024, which answers readers' questions based on the outlet's materials. Financial Times is testing an assistant called Ask FT based on its archive. Agencies like Reuters and Bloomberg have used algorithms for years to automatically generate financial summaries and process data.
These scenarios show a common trend: AI takes over routine information processing, while journalists concentrate on verification, analysis, and exclusive material.
What figures and deals did OpenAI name
OpenAI does not provide specific metrics — the number of participating publications, the amount of time saved, or the names of individual partners — in the brief announcement. The material is structured as a thematic overview of directions rather than a report with figures.
"News organizations are using AI to strengthen reporting, grow audiences, and improve business operations,"
OpenAI's blog states.
The publication fits into OpenAI's strategy of building closer ties with the media industry. The company signed its first licensing agreement — with the Associated Press — in July 2023. It was followed by deals with Axel Springer (December 2023), Financial Times (April 2024), News Corp (May 2024, for an amount the media estimated at more than $250 million over five years), as well as with Vox Media, The Atlantic, and Condé Nast. At the same time, OpenAI remains a defendant in a lawsuit filed by The New York Times in December 2023: the newspaper accuses the company of training its models on its articles without permission.
What this means
AI in newsrooms is ceasing to be an experiment and is becoming part of the everyday production cycle — from transcribing interviews to personalizing feeds. For OpenAI, the overview is also a way to establish itself in the media industry, relations with which have remained contradictory since 2023: licensing deals coexist with lawsuits. For readers, this means faster and more personalized news, but also new questions about where the line lies between human work and that of an algorithm.
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