Washington Monthly: AI and the future of independent journalism

What the article is about

Courtney C. Radsch, Director of the Center for Journalism & Liberty at the Open Markets Institute, published this white paper through Washington Monthly examining how AI is affecting journalism as an industry. The paper focuses on the economic mechanisms by which AI threatens journalism’s sustainability, rather than the more discussed question of AI-generated news content.

Context

The core economic problem the paper describes is training data extraction. AI companies have used journalism content — individual articles, archived investigations, specialized reporting — to train models that then summarize that content for users without sending readers to the original source. This creates a two-sided problem: the content is used to build commercially valuable models, and the traffic that once funded the journalism does not return.

The paper pays particular attention to who bears the cost of this shift. Large publications with legal departments and negotiating power have been able to reach licensing deals with AI companies, however imperfect. Small, local, and independent publications — the ones Radsch argues are most critical to democratic accountability in local communities — have neither the bargaining power to negotiate nor the resources to pursue legal remedies.

Radsch identifies Cloudflare as a potentially significant intervention point. Cloudflare manages approximately 20 percent of global web traffic, which gives it technical capability to implement content protection mechanisms at scale. If Cloudflare were required or incentivized to enable publishers to control how their content is accessed for AI training, smaller outlets could benefit without needing to negotiate individually with every AI company. The paper frames this as promising but insufficient — proper regulatory frameworks at the government level remain necessary to prevent unintended consequences.

Key takeaway

The paper argues that current policy responses have not matched the pace of the problem. Voluntary licensing deals address the largest publishers while leaving the broader journalism ecosystem exposed. The interventions Radsch considers most promising combine technical infrastructure — Cloudflare-level controls — with regulatory requirements that treat AI training data use as a policy question rather than a market negotiation.

For writers and editorial leaders, the report provides grounding for understanding why the economics of journalism are under pressure even when individual outlets are producing good work. The forces described — AI-generated summaries that reduce referral traffic, the asymmetric power between large platforms and small publishers, the inadequacy of current legal frameworks — are structural rather than cyclical.

Who should read this

Editorial directors, independent publishers, and journalists trying to understand the economic pressures reshaping their industry. Policy professionals working on AI and media. Writers who want context for why the market for journalism is shifting in ways that do not track audience interest in the content itself.