Axios uses AI to scale local news without sacrificing quality

Axios is betting big on AI to solve the local news crisis, and it’s working. Chief Operating Officer Allison Murphy explains how the media company is using AI across the entire news workflow—from story creation to editing to distribution—to make high-impact local journalism profitable and sustainable. The key tool here is the ‘Axiomizer,’ a custom GPT that transforms reporter drafts into Axios’s signature smart brevity format, polishing headlines and sharpening sections like ‘Why it matters’ and ‘What’s next.’ This isn’t about replacing journalists; it’s about giving them superpowers. Reporters spend less time on formatting and busywork and more on the human stuff—talking to sources, digging into data, and telling great stories. The efficiency gains are real: Axios can now launch a new city with just one reporter, as it did in Boulder and Huntsville, Alabama. By cutting production costs, AI allows Axios to serve communities that were previously uneconomical to cover. Why it matters: This model offers a rare, hopeful blueprint for saving local journalism by proving that AI can bridge the gap between quality reporting and economic viability, potentially reshaping how news is delivered in underserved markets.