Journalism has a complicated relationship with AI. Newsrooms use it to work faster and investigate more deeply; AI companies use news content to train and inform their products; and AI-generated misinformation makes trustworthy journalism more important — and harder to sustain.

How newsrooms use AI

Automation of routine stories

News agencies have used automation for years. The Associated Press began automating corporate earnings reports in 2014, producing far more stories than reporters could write manually. Similar systems cover sports results, elections and weather.

Transcription and translation

Transcribing interviews and press conferences — once hours of work — now takes minutes. Translation lets newsrooms follow foreign-language sources and publish in more languages.

Research and investigations

AI helps journalists analyze large document leaks, datasets, satellite imagery and social media at scale. Investigative teams use machine learning to classify documents, find patterns and identify leads.

Production

Headlines and summaries, search-engine metadata, newsletter versions, audio versions of articles, and social media posts.

Audience tools

Personalized recommendations, chatbots that answer questions about a publication’s archive, and summaries for readers.

Newsroom standards

Most professional newsrooms have published AI policies. The Associated Press, for example, has stated that generative AI output should be treated as unvetted source material, that its journalists are responsible for accuracy, and that AI should not be used to create publishable content or images except in specific cases. Common principles include human editorial responsibility, verification, transparency with audiences and protection of sources.

The business pressure

  • AI search and assistants answer questions directly, potentially reducing visits to news sites and the advertising and subscription revenue that comes with them.
  • Training data disputes: some publishers have sued AI companies, while others signed licensing deals — see AI content licensing deals.
  • Competition from low-quality AI sites: monitoring organizations such as NewsGuard have identified large numbers of websites publishing mostly AI-generated “news” with little human oversight, often to capture advertising revenue.

Misinformation and trust

Generative AI makes it cheaper to produce false articles, images, audio and video. Newsrooms invest in verification skills and tools, provenance standards such as Content Credentials, and transparent sourcing. The Reuters Institute’s research on audiences finds that many people are uneasy about news produced mainly by AI, preferring AI to assist journalists rather than replace them.

What it means

AI can make journalism more efficient and ambitious, but the profession’s value lies in verification, accountability and original reporting — things AI cannot do on its own. The challenge is sustaining the business that pays for them.

How readers can judge AI use by a publication

  • Look for a published AI policy explaining how the outlet uses AI and where humans are responsible.
  • Check for named authors and editors, corrections policies and transparent sourcing.
  • Notice whether AI-generated images are labelled.
  • Be cautious with sites that publish huge volumes of unsigned articles on unrelated topics.

Trustworthy outlets are transparent about their methods, including their use of AI.

Skills journalists are building

Newsrooms increasingly train staff in:

  • verification of synthetic media, including reverse image search, metadata and provenance checks, and knowing the limits of AI detectors;
  • data journalism with AI-assisted analysis, while checking every number that is published;
  • prompting and tool evaluation to know where AI saves time and where it introduces errors;
  • AI accountability reporting — investigating how AI systems used by governments and companies affect people.

That last area is itself a growing beat: journalists examine algorithms used in welfare, policing, hiring and credit, often requesting records and testing systems directly.

What to watch next

  • Court decisions in publishers’ copyright lawsuits against AI companies.
  • Traffic effects of AI search features on news sites.
  • Licensing and revenue-sharing models for news in AI products.
  • Audience attitudes toward AI-assisted journalism.

Key takeaways

  • Newsrooms use AI for automated routine stories, transcription, translation, investigations and production.
  • The AP has automated earnings stories since 2014.
  • Newsroom policies keep humans responsible and require verification and transparency.
  • AI search, training-data disputes and AI content farms pressure the news business.
  • Verification, provenance and original reporting are journalism’s core advantages.

Frequently asked questions

Are news articles written by AI?

Some routine items, such as earnings and sports results, are automated at certain organizations. Most reputable outlets require human journalists to be responsible for published content.

How can I recognize AI-generated news sites?

Watch for no named authors, generic content, many articles per day on unrelated topics, errors and missing sourcing. Media literacy tools and ratings can help.

Do AI chatbots use news articles?

Many AI systems were trained on web text including news, and some retrieve news content to answer questions, often under licensing agreements or in contested circumstances.