How Axios Is Using AI to Build Impactful Local Journalism

Axios Local is focused on using AI to build a sustainable and profitable local news model. AI is integrated into every stage of news production—story generation, editing, and distribution—playing a key role in achieving economies of scale and efficiency.

In particular, through Axiomizer, a custom GPT developed in-house, reporters can input a draft and receive suggestions for sharper headlines and key summary sections like 'Why it matters' and 'What's next.' This helps articles become more concise and clear, in line with Axios's signature 'Smart Brevity' style.

Key outcomes from adopting AI include:

• Streamlined workflow: AI handles simple, repetitive tasks such as editing and style checks, helping reporters focus on high-value work only humans can do, like in-depth reporting and data analysis.
• Local scalability: By lowering production costs, AI enables a 'one-reporter city' model (e.g., Boulder, Huntsville) that can operate with just a single reporter, extending news coverage to more communities.
• Data utilization: AI quickly summarizes and analyzes vast amounts of public data, such as city council minutes and government records, rapidly uncovering news sources that were previously difficult to access.