WHITE PAPER
Agentic AI in Journalism: The New News Agents
Case studies, challenges and applications
Explore how AI systems that act independently are reshaping newsrooms — from reporting and editing to ethics, governance, and public trust.
Shehu, M. (2025). Agentic AI in Journalism. Column Content.
What happens when AI reports the news?
As agentic AI moves from simple automation to autonomous action, newsrooms face new choices: how to harness it for speed and depth without losing control or trust.
Inside the white paper
Case studies on AI use across global newsrooms
Why journalism must take AI seriously to survive the next decade
Practical newsroom use cases and workflows
Governance, ethics, and risk frameworks
Expert insights from journalists, strategists, and educators
Key figures and findings
Over 75% of newsrooms use AI in at least one workflow
Only 20% have formal guidelines in place
42.3% of journalists use AI tools without approval
Public trust in AI-assisted news sits at just 36%
The future of journalism is here, but governance, transparency, and training are lagging behind adoption.
Who should read this?
Editors and newsroom leaders building AI strategies
Media policy experts designing governance frameworks
AI developers and product teams working with publishers
Researchers and educators studying media transformation
This paper is for anyone shaping how journalism and AI coexist responsibly.
This report is for you if you’ve ever asked:
Can AI strengthen journalism instead of replacing it?
How autonomous can agents become before risk outweighs benefit?
What workflows are safe to automate?
How should editors govern agentic systems in real time?