AI Impact on Local News and Community Accountability
Legislators consider taxing AI firms to mitigate damages to local journalism business models.
1The AI Revenue Threat
AI companies scrape local journalism to train models and provide direct answers, effectively bypassing news websites. This practice eliminates the click-through traffic essential for publisher revenue. Data indicates that web traffic for top newspapers has plummeted nearly 50 percent since 2022, creating an existential financial crisis for local news organizations.
2Disproportionate Impact on Small Outlets
Smaller publishers suffer significantly more than larger counterparts, experiencing a 60 percent decline in traffic compared to 22 percent for major outlets. When AI chatbots provide free information, consumers lose the incentive to subscribe or donate. This invisibility of original creators prevents nonprofit newsrooms from demonstrating their community impact to donors.
3Societal Consequences of News Loss
Academic research confirms that communities lacking local journalism face increased corruption and higher municipal bond interest rates. Police solve fewer violent crimes, and environmental polluters face less scrutiny. Without journalists to provide accountability, residents remain uninformed about local issues, which ultimately worsens political polarization and allows government waste to go unchecked.
4Misinformation and Deepfake Risks
AI tools struggle with accuracy, particularly regarding local events where information is scarce. A 2025 study found that major AI models repeated misinformation roughly 35 percent of the time. Furthermore, regions with few journalists lack the necessary watchdog capacity to identify or challenge scurrilous deepfake content circulating during critical election periods.
5Philanthropy Subsidizing AI Companies
Foundations and donors currently provide crucial funding to nonprofit newsrooms, yet this support is being undermined by AI firms. Philanthropists are effectively subsidizing the AI industry by paying to remediate damages caused by companies that refuse to compensate news organizations. This creates an unsustainable cycle that threatens to wipe out recent innovations.
6Legislative Solutions for Mitigation
Lawmakers are exploring various taxes on AI power consumption, data scraping, or computing capacity to address these harms. California has already implemented tax credits for hiring local journalists. Proponents argue that a small fraction of the billions generated by AI taxes could sustain 25,000 local reporters, ensuring essential civic services remain functional.
7Data Centers and Local Oversight
Data centers are disproportionately located in counties with minimal journalistic coverage, often operating with little transparency. Requiring these companies to fund local reporting endowments could improve community oversight. Such funding, managed by community foundations, would ensure independent coverage of utility usage, water preservation, and electricity rates without direct influence from the companies.
8Transforming AI into a Partner
If AI companies share their economic gains, they could help revive the very journalism that improves their own accuracy. Responsible AI usage, supported by human journalists, could strengthen community well-being. By funding local news, the industry can turn an existential threat into a sustainable model that benefits both the public and AI.
Original article: Washington Monthly — AI Impact on Local News and Community Accountability