How a media newsroom scales judgment, not volume
Blog post from Sanity
Media organizations can no longer rely on publishing high volumes of content for traffic and revenue because generative AI has made plausible content abundant and raised audience expectations, according to Code & Theory leaders Michael Fanuzzi and Rebecca Smith. Their proposed “intelligence layer,” piloted for the upcoming RealClear Crime publication, uses AI to support a newsroom’s discovery, drafting, verification, distribution, and learning processes while keeping editors responsible for editorial decisions. The system is designed to flag unverified claims, show supporting sources, require human review at each stage, and disclose AI assistance alongside named human editors at publication. Rather than treating AI as a replacement for reporting or judgment, the approach positions it as a way to eliminate the blank page and direct reporters toward gaps, uncertainties, and higher-value work. The discussion also argues that durable competitive advantage comes not from faster production but from feedback loops that connect a publisher’s audience behavior, archive, and editorial expertise, while maintaining traceable provenance as facts and sources change over time.
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