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How we use AI in our journalism

Axios, 2026

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Large language models, machine learning, automation, and other AI technologies are transforming journalism in ways unimaginable just a decade ago. They offer remarkable potential — but also real risks.

Why it matters: Retaining our audience’s trust in Axios’ journalism is always our North Star. Our audience deserves engaging, fact-based information that can help them make informed decisions.

  • Axios believes generative AI tools must be adopted carefully, with transparency, to protect that trust and follow our Code of Ethics.
  • Axios will always aim to discern the truth, verify its accuracy, and report it objectively.

Between the lines: Our award-winning journalism will never be due to robots — it stems from our reporters and editors who develop subject-matter expertise, regularly speak with leaders in their fields or communities, and earn the trust of their sources and their audience.

  • But we believe AI can be used to help our journalists research, write, and edit more effectively so they have more time to focus on what matters.

How it works: This page will be updated to explain how we might use generative AI in significant ways to create text or visuals.

  • Our editors and reporters are accountable for our published work.

Axios has been vigorously testing LLMs, machine learning models, and generative AI systems over the past several years, to see where new AI tools can best support our journalism in a trustworthy manner. For example:

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  • We allow our journalists to use AI tools that can record interviews and meetings and offer transcription and AI-generated summaries to help confirm details and quotes.
  • Axios and OpenAI have a licensing and technology agreement, which enables our reporters and editors to use OpenAI’s tools. Journalists can use those tools to sort through large data sets or documents, brainstorm ideas, conduct research, draft initial findings, and improve language.
  • We’ve automated some features in local newsletters, such as adding weather updates and member birthdays, and placing local stories onto social media platforms.
  • We’re testing the localization of certain national data for some local stories and data visualizations, which would be reviewed by journalists before publishing.

Our visual standards do not allow alterations that could materially mislead audiences about real people, places, or events.

  • Our illustration team sometimes uses standard built- in AI tools, such as those found in Adobe Photoshop, to help craft illustrations more quickly.

Our tech team has incorporated AI tools into our CMS to help journalists:

  • Speed up their workflow.
  • Adopt stronger headlines or newsletter subject lines.

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  • Create alt text language for some images and data visualizations.
  • Draft initial marketing emails.
  • Add recommended tags.
  • Accept smoother language suggestions and other edits.
  • Draft roundups of news and events for local newsletters, which they review before publication.

Of note: Our reporters and editors may consider and adopt some of those suggestions, but they are fully accountable for everything we publish.

The bottom line: Axios is carefully using new AI tools to support our high-quality journalism, worthy of your time and trust.

Note: Last updated June 2026. If you have questions, please reach out to publisher Nicholas Johnston at nick@axios.com.

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