Major AI companies are taking opposing stances on liability legislation as regulatory frameworks struggle to keep pace with rapidly advancing technology. Anthropic has come out against a proposed Illinois law backed by OpenAI that would shield AI labs from liability for large-scale harm, exposing deep divisions in how the industry views accountability and regulation.
Meanwhile, the regulatory landscape continues evolving with mixed results. New York’s RAISE Act became law in 2025, requiring major AI firms to implement and publish safety protocols, while federal surveillance laws face renewal battles in Congress. This patchwork of regulatory approaches reflects the broader challenge of governing technology that develops faster than policy frameworks can adapt.
Corporate Divisions on AI Liability
The fight over Illinois Senate Bill 3444 has created unexpected battle lines between two leading AI companies. OpenAI supports the legislation, which would protect AI labs from liability if their systems cause mass casualties or more than $1 billion in property damage. However, Anthropic strongly opposes the bill, arguing it creates a “get-out-of-jail-free card” for companies developing powerful AI systems.
According to Wired, Anthropic has been actively lobbying Illinois lawmakers to either significantly modify or kill the bill entirely. Cesar Fernandez, Anthropic’s head of US state and local government relations, emphasized that “good transparency legislation needs to ensure public safety and accountability for the companies developing this powerful technology.”
This corporate split reflects deeper philosophical differences about responsibility in AI development. While both companies acknowledge the need for regulation, they disagree fundamentally on whether liability protections encourage innovation or enable reckless development practices.
State-Level Regulatory Innovation
New York has emerged as a regulatory leader with the passage of the RAISE Act, demonstrating how state governments are filling federal policy gaps. The legislation requires major AI firms to implement comprehensive safety protocols and publish detailed information about their models’ capabilities and limitations.
According to Wired, the law has sparked significant industry pushback. A super PAC called Leading the Future, funded by OpenAI’s Greg Brockman, Palantir cofounder Joe Lonsdale, and Andreessen Horowitz, has launched aggressive campaigns against politicians supporting such regulations.
The group specifically targets what they call “ideological and politically motivated legislation that would handcuff not only New York’s, but the entire country’s, ability to lead on AI jobs and innovation.” This opposition highlights the tension between innovation incentives and public safety protections that defines much of the current regulatory debate.
Political Resistance and Industry Influence
The case of New York Assembly member Alex Bores illustrates how regulatory advocates face well-funded opposition. Despite his background working at Palantir, Bores has become a vocal proponent of AI regulation and co-sponsored the RAISE Act. His stance has made him a target for Silicon Valley money opposing his Congressional campaign.
This dynamic raises important questions about democratic governance and corporate influence in technology policy. When former industry insiders advocate for regulation, they often face coordinated opposition from their former employers and industry peers, potentially chilling policy innovation.
Federal Surveillance and Privacy Challenges
While AI-specific regulations develop at the state level, federal lawmakers grapple with updating existing surveillance authorities. Section 702 of the Foreign Intelligence Surveillance Act faces renewal debates, with bipartisan privacy advocates calling for reforms to protect Americans from warrantless surveillance.
The law allows intelligence agencies to collect overseas communications flowing through the United States without individualized warrants, inevitably capturing American communications. Critics argue these authorities, designed for traditional intelligence gathering, are inadequate for governing AI-powered surveillance capabilities.
A bipartisan group has proposed the Government Surveillance Reform Act, seeking to balance national security needs with constitutional protections. However, political deadlock has prevented meaningful reform, with some lawmakers using the renewal process to advance unrelated political goals.
Technology Outpacing Legal Frameworks
The surveillance debate exemplifies how existing legal frameworks struggle with technological advancement. Laws written for traditional communications interception now govern AI systems capable of analyzing vast datasets and identifying patterns across millions of communications.
This mismatch between legal authorities and technological capabilities creates accountability gaps that affect both privacy rights and national security effectiveness. Without updated frameworks, both government agencies and private companies operate in regulatory gray areas that serve neither public safety nor innovation.
Global Regulatory Competition
The AI regulatory landscape extends beyond domestic policy to international competition. According to MIT Technology Review, the US and China are nearly tied in AI model performance, with significant geopolitical implications for regulatory approaches.
The European Union’s AI Act provides a comprehensive regulatory framework that many view as a global standard. However, American policymakers worry that overly restrictive regulations could disadvantage US companies in the global AI race. This tension between maintaining competitive advantage and ensuring responsible development shapes much of the current policy debate.
Meanwhile, criminal exploitation of AI systems continues expanding. MIT Technology Review reports that cyberscammers are using sophisticated tools sold on Telegram to bypass banking security measures, including facial recognition systems designed to prevent fraud.
What This Means
The current regulatory moment represents a critical juncture for AI governance. State-level innovation in places like New York demonstrates that meaningful regulation is possible, while corporate divisions over liability suggest the industry lacks consensus on fundamental accountability questions.
The speed of AI development continues outpacing regulatory responses, creating risks for both innovation and public safety. Without coordinated federal action, the resulting patchwork of state regulations may create compliance burdens that neither protect the public effectively nor enable responsible innovation.
Most importantly, the influence of industry money in political processes raises questions about democratic governance of transformative technologies. When companies spend millions opposing former employees who advocate for regulation, it suggests that current political processes may be inadequate for governing technologies with such broad societal implications.
FAQ
What is the main disagreement between OpenAI and Anthropic on AI regulation?
OpenAI supports Illinois legislation that would shield AI companies from liability for large-scale harm, while Anthropic opposes it, arguing that such protections undermine accountability and public safety.
How are state governments leading on AI regulation?
New York’s RAISE Act requires major AI firms to implement and publish safety protocols, demonstrating how states are filling federal policy gaps with concrete regulatory requirements.
Why are existing surveillance laws inadequate for AI governance?
Laws like Section 702 were designed for traditional communications interception but now govern AI systems capable of analyzing vast datasets, creating accountability gaps between legal authorities and technological capabilities.
