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Axios uses AI for rote tasks like compiling news roundups and event calendars. This "reporter assist" strategy doesn't replace journalists but removes time-consuming production work, allowing even single-reporter newsrooms in small markets to focus on high-value, original reporting that builds audience trust.

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Axios CEO Jim VandeHei argues that while costs for top reporting talent will rise, specialized media will become more profitable. This is because AI will drastically reduce all other operational costs—like distribution, marketing, and back-end technology—freeing up capital for core talent.

To drive adoption, Axios's CEO gave all staff licensed AI access and a simple mandate: spend 10% of your day finding ways it can improve your specific job and share wins. This bottom-up, experimental approach fostered organic adoption and practical use cases more effectively than a top-down directive.

For knowledge workers like authors, up to 50% of their time is spent on tedious "chores" like organizing sources or creating timelines. AI automates this drudgery, freeing up mental bandwidth for higher-value creative tasks like narrative construction and prose.

AI can handle the 'writing lift,' much like historical rewrite desks. This forces a re-evaluation of a journalist's core value, shifting the emphasis from prose composition to the irreplaceable skills of investigation, sourcing, fact-gathering, and identifying what story matters.

Axios is developing proprietary AI tools tailored to specific journalistic tasks. This includes an "Axiomizer" that copy-edits text based on their unique "Smart Brevity" style guide and a tool to automate the tedious process of writing and tracking Freedom of Information Act (FOIA) requests.

To avoid the errors of other AI-driven publications, Axios enforces a strict policy that no AI-generated content is published without human review. This principle allows them to leverage AI for scale while ensuring a local reporter with market knowledge vets everything before it reaches the audience.

The Atlantic's CEO Nick Thompson draws a clear line for AI in journalism. He advocates for using it extensively for reporting tasks like finding stories, analyzing data, or checking for chronological gaps. However, since a byline promises human authorship, AI should never write the final prose, even if it becomes a better writer.

Tech journalist Alex Heath has integrated AI into his workflow, using it to write first drafts which he then edits. This has cut his writing time by 50%, freeing him up to focus on his core competitive advantages: networking with sources, conducting interviews, and breaking stories. It's a model for how knowledge workers can leverage AI.

Creating "best of" content roundups is now easier with AI. Instead of manually sifting through data to find top performers, marketers can use AI to quickly identify popular content and even extract key summaries, significantly speeding up the creation process and enabling deeper insights.

The NYT CEO asserts AI will be an efficiency tool, not a substitute for journalists. Core reporting tasks like unearthing new facts, bearing witness to events, and translating information with sensitivity are fundamentally human endeavors that technology can support but not automate.

Axios Deploys AI to Automate Curation, Freeing Reporters for Original Reporting | RiffOn