📉 AI in Media: Balancing Efficiency with Trust

A new report highlights the dual-edged nature of Generative AI in the global news ecosystem, emphasizing that while AI offers operational efficiencies, it poses a systemic risk to the sustainability of journalism and public trust. • Impact on Sustainability: AI systems increasingly act as intermediaries, scraping content without consent and providing direct answers to users. This "flattens" original reporting and reduces traffic to newsrooms, threatening the financial viability of the media sector. • Opportunities for Resource-Poor Newsrooms: In regions like South Asia and Africa, AI is being cautiously adopted to: • Automate labor-intensive tasks for small teams. • Translate content into local languages to reach broader audiences. • Analyze large datasets for ICT and investigative reporting. • The Trust Deficit: The spread of AI-generated misinformation is "corroding" political participation and international diplomacy. Data suggests that automated fact-checking is insufficient; building community trust requires "analogue" human connection that cannot be automated. • Strategic Outlook: To protect the digital public space, the report calls for: • Policy Intervention: Addressing content licensing and data protection. • AI Literacy: Integrating AI training into journalism education and newsroom workflows. • Human-Centric Models: Shifting focus from platform-driven speed to journalism grounded in local relevance and inclusion. _Source: Internews Europe / Project Kontinuum (May 2026)_