The Data Center Revolt
How Anti-Data Center Activists Are Taking on Big Tech and Winning. More than 70 data center projects have been rejected or restricted in just the first four months of 2026, already surpassing all of 2025. The Spectator reports that grassroots opposition has killed or stalled projects worth billions, including an 800-acre development in Prince William County, Virginia.
Denver Passes One-Year Data Center Moratorium. Denver’s city council voted unanimously to pause new data center development for a year, citing energy, water, and neighborhood concerns. The move adds a major metro to the growing list of jurisdictions using land-use authority to push back on AI infrastructure.
Data Centers Are Now Less Popular Than Nuclear Power Plants Among American Neighbors. A new Gallup poll finds 70% of Americans oppose data centers being built near their homes. The facilities have become a flashpoint for concerns about energy costs, water use, and noise as AI companies race to build out compute capacity.
Utah Residents Fight a 9-Gigawatt AI Data Center Backed by Kevin O’Leary. Rural residents in Box Elder County are pushing for a November ballot measure to block a massive AI data center and natural gas plant, approved by county commissioners over community objections. The project has become a test case for whether local voters can override developer-friendly officials.
Corpus Christi Leaders Suspect Data Center Plans Are Delaying Emergency Water Supply. Local officials believe potential data center development is complicating efforts to secure emergency water infrastructure in a drought-prone Texas city. The story illustrates how AI infrastructure ambitions are colliding with basic municipal resource planning.
Policy & Regulation
Elon Musk and the DOJ Teamed Up to Kill Colorado’s AI Anti-Discrimination Law. The Guardian reports that the U.S. Department of Justice took the unusual step of intervening alongside Musk’s xAI to challenge Colorado’s AI bias law. The episode highlights growing federal pushback against state-level AI consumer protections.
The AI Regulation Knife Fight Inside the White House. Lawfare details the infighting among Trump administration factions over whether to require government vetting of new AI models before release. By the end of the week, a lobbyist told reporters “there is no clarity” as different camps pushed competing visions for federal AI oversight.
EU Reaches Deal to Amend the AI Act, Extends Deadlines. European legislators agreed on May 13 to revise the AI Act, pushing back compliance deadlines for high-risk systems and adding strict new prohibitions on “nudifier” apps that generate non-consensual intimate content.
How Much Enforcement Power Does the EU AI Office Actually Have?. This Lawfare analysis breaks down the EU AI Office’s authority over general-purpose AI providers, including its ability to demand documentation, access source code, and levy fines. Relevant reading as voluntary compliance starts hardening into real enforcement.
Connecticut Passes Sweeping Law Regulating AI in Hiring. The new law requires employers to disclose when automated tools are used in employment decisions and establishes a pilot program for third-party bias audits. Connecticut joins a growing patchwork of states writing their own rules for AI in the workplace.
TAKE IT DOWN Act Goes Live: Platforms Must Remove Deepfake Porn Within 48 Hours. As of May 19, websites and apps are legally required to take down AI-generated non-consensual intimate images within 48 hours of notification. The law carries penalties of up to three years in prison for posting deepfakes of minors with intent to harass.
Jury Rejects Musk’s Lawsuit Against OpenAI. A federal jury sided with OpenAI, dismissing Musk’s claims that the company betrayed its founding public-benefit mission. The verdict is a setback for those arguing that frontier AI labs owe enforceable obligations to their original nonprofit charters.
Economics & Employment
The “Wired Belt” Prophet Says AI Is Hollowing Out the Knowledge Economy. A new American AI Jobs Risk Index finds 9.3 million U.S. jobs and $757 billion in annual income at risk within five years, with tech hubs like San Jose facing 3.6x higher displacement than Rust Belt cities. The analysis covers 784 occupations and warns that AI is destroying value faster than it creates it.
BLS Data Shows Real Job Losses in AI-Exposed Occupations. Bloomberg reports that several job categories flagged as AI-exposed by the Bureau of Labor Statistics saw employment declines from May 2024 to May 2025, even as overall employment grew. One of the more direct connections yet between official labor data and AI displacement.
Indeed Hiring Lab: The Great Mismatch Is Labor Reallocation, Not Mass Layoffs. This report projects that AI’s labor market impact will concentrate in high-wage, white-collar sectors. The core argument: the defining challenge of the next decade is moving workers between roles, not counting how many lose theirs.
NY Fed Researchers Ask Whether Job Postings Already Show AI’s Labor Effects. An analysis from the New York Fed’s Liberty Street Economics blog finds that hiring has slowed in AI-exposed occupations, but the divergence predates the generative AI boom. The picture is more nuanced than headlines suggest.
AI Took His Job. A Chinese Court Awarded Him $38,000. A Hangzhou court ordered a fintech company to compensate a worker after illegally terminating his contract and replacing his quality inspection duties with AI. The ruling is one of the first globally to hold an employer liable for an AI-driven termination.
Ethics, Safety & Copyright
Nature: The Uncritical Adoption of AI in Science Is Alarming. Rapid LLM integration in research is narrowing inquiry, producing lower-quality papers filled with hallucinated citations, and deskilling trainees by automating the routine work that builds judgment. The piece calls for urgent guardrails to prevent a new reproducibility crisis and erosion of public trust in science.
Brookings: Is It Time to Measure Cognitive Stunting from AI?. Rebecca Winthrop argues that heavy, unstructured AI use by children may be undermining development of critical thinking, writing, and analytical skills. She proposes developing metrics to track whether AI tools are helping or hurting kids’ cognitive growth.
OpenAI Hit with Class-Action Lawsuit for Sharing ChatGPT Data via Tracking Pixels. A new complaint accuses OpenAI of embedding Meta and Google tracking pixels in ChatGPT, potentially funneling sensitive chatbot conversations into advertising pipelines. The case raises serious questions about the privacy of interactions with AI assistants.
AI, Copyright, and the Future of Creativity. This Observer Research Foundation policy paper surveys how jurisdictions worldwide are reforming copyright law to address AI training on protected works. It explores emerging hybrid models that combine licensing markets, mandatory transparency, and traditional copyright protections.
Surveys & Public Opinion
Only 17% of Americans Expect AI to Have a Positive Impact. A new Annenberg Public Policy Center survey finds 42% anticipate negative effects from AI over the next decade, with bipartisan consensus that government has done “too little” to regulate the technology. The findings signal growing public demand for policy intervention.
Pope Leo’s Moral Stance on AI Could Push Governments Toward Stronger Oversight. Brookings analyzes the new pope’s warnings that AI could fuel polarization, conflict, and inequality, arguing that his moral authority over 1.4 billion Catholics could meaningfully shift the global conversation on AI governance, much as papal social teaching shaped responses to industrialization.
Academic Research
Behavioral Testing Alone Cannot Verify the Safety Claims AI Governance Now Demands. This arXiv position paper argues that red-teaming and behavioral evaluations fall short of the assurance levels that emerging regulatory frameworks require. It introduces the concept of an “audit gap” between what governance regimes expect and what current methods can actually prove.
Memory-Equipped AI Agents Get Less Safe Over Time. Researchers find that LLM agents with persistent memory accumulate “temporal memory contamination,” where tainted context from earlier interactions increases safety violations in later tasks. The paper argues that one-off safety tests miss risks that only emerge over extended use.
Why AI-for-Social-Good Projects Stall at the Proof-of-Concept Stage. Drawing on interviews with 26 researchers and analysis of 38 projects, this preprint identifies structural and organizational barriers that prevent AI social impact work from reaching deployment. Mismatched academic incentives, funding constraints, and low-resource environments are the main culprits.
Last Updated: 2026-05-20 07:40 (California Time)