The Take It Down Act: First Enforcement Wave
FTC Starts Enforcing the Take It Down Act, Targeting AI Deepfake Porn. The FTC has begun enforcing the federal law requiring platforms to remove nonconsensual intimate imagery, including AI-generated content, within 48 hours of a valid report. The agency also sent warning letters to 12 “nudify” websites that lack required removal processes.
Two Men Become First Charged Under Federal AI Deepfake Law. Federal prosecutors charged two men with using AI to create sexually explicit images and videos of celebrities, marking the earliest criminal cases under the Take It Down Act. The prosecutions signal that enforcement will extend beyond platforms to individual creators of nonconsensual AI content.
What’s Next for the Nation’s First AI Deepfakes Law. The first enforcement deadline has passed, but advocates expect litigation will be needed to test whether platforms are complying in practice. Transparency gaps around takedown decisions remain a concern.
How Deepfakes Tore a Pennsylvania High School Apart. 404 Media reports on AI-generated child sexual abuse material affecting a high school, exposing how schools and police are struggling to respond. A sobering case study in institutional readiness and youth safety.
The Data Center Backlash
Communities Are Blocking Billions in Data Centers. Big Tech Has Wagered $1 Trillion Otherwise. Fortune documents the collision between hyperscaler AI infrastructure spending and local opposition over electricity costs, water use, noise, and tax incentives. A strong macro-to-local analysis of AI’s physical footprint.
How Anti-Data Center Activists Are Taking on Big Tech and Winning. More than 70 data center projects have been rejected or restricted in the first four months of 2026 alone, exceeding the total for all of 2025. Broad coalitions of residents are organizing across the political spectrum to stop projects in their communities.
States Are Trying to Block Cities From Regulating AI Data Centers. A growing number of states are pursuing “preemption legislation” that would strip local governments of the ability to regulate data centers. West Virginia already passed such a law, citing competition with Virginia and the broader race with China.
Minneapolis Imposes Six-Month Moratorium on Large Data Centers. The city council paused new large data center construction while it develops regulatory guardrails. Local moratoria are becoming a standard tool of AI infrastructure governance.
The AI Backlash Is Growing in Oregon and Beyond. Oregon has imposed a data center tax-break moratorium amid local opposition over energy costs and environmental concerns. Seattle officials are also considering a one-year ban on new facilities.
Economics & Employment
Newsom Signs First-of-Its-Kind Executive Order on AI Workforce Disruption. California’s governor directed state agencies to study and propose policies for AI-driven labor displacement, including severance standards, transition support, and modernized job training. One of the most concrete U.S. state actions aimed at AI’s labor market effects.
Cheap AI Could Derail OpenAI and Anthropic’s IPOs. Chinese models went from about 1% of usage on OpenRouter in 2024 to more than 60% in May, while Meta, Shopify, and others flagged rising AI costs as a drag on margins. The pricing assumptions behind $800 billion-plus IPO valuations are looking increasingly shaky.
Tech Layoffs Pass 100,000 in 2026 as Companies Cut Jobs to Fund AI. Layoff tracker data shows AI investment and “AI-first” restructuring are central narratives behind 2026 job cuts. The causal link between AI spending and headcount reduction is becoming harder to ignore.
Standard Chartered Plans to Cut 7,000 Jobs in AI Push. The bank plans to cut corporate roles while shifting toward automation, showing AI-driven restructuring moving beyond tech firms into global finance.
AI Is Hitting the Labor Market Through Weaker Hiring, Not Mass Layoffs. Economists note that AI’s current labor market impact shows up more in slower recruitment and reallocated budgets than in outright firings. Entry-level workers are bearing the brunt as companies redirect spending toward technology.
Policy & Regulation
Trump Administration Wants AI Models 90 Days Before They Go Public. Draft executive order discussions would give U.S. government agencies pre-release access to frontier models for scrutiny. If enacted, this would represent a major shift toward pre-deployment government review of high-capability AI.
EU Council and Parliament Agree to Simplify AI Act Rules. Negotiators reached a provisional deal to streamline certain AI Act rules as part of the EU’s simplification agenda. The agreement also added a new provision prohibiting AI practices related to generating nonconsensual sexual content.
A New Approach to AI Regulation in Congress. Rep. Sam Liccardo proposes empowering the Commerce Department to define industry best practices for AI safety rather than relying on fixed regulatory standards. Companies meeting federal benchmarks would get a safe harbor from state liability.
AI Legislative Update: State Bills Moving Fast. A weekly roundup of AI legislation across state legislatures: Colorado sent four AI bills to the governor, Georgia signed an AI chatbot safety bill into law, and California passed most AI-related bills out of suspense. A useful tracker for anyone monitoring the patchwork of state-level AI rules.
UK House of Lords Debates Cross-Sector AI Legislation. A briefing prepared for a parliamentary debate on whether the UK needs horizontal AI legislation. It captures the tension between the government’s pro-innovation stance and growing calls for stronger safeguards.
Ethics & Safety
METR Publishes Pilot Frontier Risk Report on AI Agent Misalignment. METR assessed misalignment risks from AI agents used inside frontier AI developers, with participation from Anthropic, Google, Meta, and OpenAI. One of the week’s strongest AI safety resources because it moves beyond public model demos to internal-use risks.
OpenAI Pushes Content Provenance for AI-Generated Media. OpenAI’s latest safety post discusses provenance and transparency tools for AI-generated or edited content. Relevant to the deepfake trust problem and the broader challenge of distinguishing real from synthetic media.
Public Citizen: Don’t Believe the Hype on AI in Regulatory Policy. This report cautions against using AI to draft federal regulations, highlighting risks of bias and flawed legal reasoning. It advocates for strict human verification and public transparency when agencies deploy AI tools.
Copyright & IP
Judge Rejects Defense That AI-Generatable Images Don’t Deserve Copyright. A U.S. District Judge firmly rejected the argument that a photograph shouldn’t receive copyright protection simply because an AI could have produced a similar image. The ruling prevents a precedent that would have undermined the foundations of copyright law.
U.S. Copyright Suits Against AI Companies Hit 112. An updated tracker maps the rapidly expanding docket of copyright litigation against AI companies. Useful as a meta-resource for anyone following the legal landscape around training data.
Major Publishers Sue Meta Over Llama AI Training. Five major publishing houses filed a class-action lawsuit alleging Meta used pirated books to train its Llama models and deliberately removed copyright management information. The case could set important precedents for how book publishers engage with AI developers.
Research
Why LLMs in Healthcare Challenge Traditional FDA Frameworks. Published in Nature’s npj Digital Medicine, this paper examines why large language models in medical settings don’t fit neatly into existing device-regulation categories. A strong health-policy resource focused on governance gaps rather than model performance.
Who Uses AI? How Platform Choice Skews Labor Market Impact Estimates. This arXiv paper finds that measured labor impacts of AI vary sharply depending on which platform’s data you use. An important methodological caution for anyone citing AI employment studies.
Last Updated: 2026-05-23 07:54 (California Time)