New State Laws Impact AI Governance, Risk, and Compliance
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New York has started a movement to reshape the AI compliance landscape for companies doing business in the state. Other states are following suit making Governance and AI Compliance an increasingly critical endeavor.
In June 2025, New York’s legislature passed the Responsible AI Safety & Education (RAISE) Act, which targets “frontier” AI models with new transparency and safety requirements. This is not theoretical regulation; it is enforceable law that will affect how companies of all sizes use AI tools.
The RAISE Act mandates detailed safety documentation, public transparency about AI capabilities and limitations, and comprehensive developer safety plans for high-risk systems. Several companion bills add requirements for visibility into training data, developer disclosures, and impact assessments for workforce and consumer-facing applications.
Signed into law, New York would become one of the first U.S. states to establish enforceable obligations around advanced AI, including oversight mechanisms, audit requirements, and civil liability provisions.
New York is not alone as more states join in. The AI regulatory environment will change dramatically in 2026, and companies big and small need to understand what’s coming.
According to the National Conference of State Legislatures, every state in the 2025 session, plus Washington D.C., Puerto Rico, and the U.S. Virgin Islands, introduced AI-related legislation. This is not just talk. States are moving beyond advisory task forces and passing laws with real enforcement power.
Texas signed the Texas Responsible Artificial Intelligence Governance Act (TRAIGA) on June 22, 2025. While it focuses on government use, it establishes frameworks that private-sector vendors will need to meet. California and Colorado are passing similar measures that create obligations around disclosures, guardrails, and transparency for private companies.
So, will the Federal Government override states? Probably not. In a critical move, the U.S. Senate recently removed a proposed 10-year moratorium on state and local AI regulation from a major spending bill. This means states retain broad authority to regulate AI, and the federal government will likely not pre-empt them. The patchwork of state laws may soon be the long-term reality, which will be a mess for Compliance.
Meanwhile, the federal government is accelerating its own efforts. The America’s AI Action Plan, released in July 2025, outlines more than 90 policy actions across innovation, infrastructure, export controls, and national security. Executive Orders now emphasize procurement standards, bias controls, ideological neutrality, and AI infrastructure development.
Companies working with large models, global markets, or federal contracts should expect layered obligations at both state and federal levels.
Additionally, regulation is becoming more targeted. New York’s proposed “AI Companion” bill addresses systems that simulate human-like relationships, requiring them to detect self-harm risks and clearly identify themselves as AI. Health-related AI systems are also facing new rules at the state level as regulators move faster than federal agencies like the FDA.
AI governance is not just for companies that build AI systems. It affects every company that uses them due to vendors, compliance obligations, overlaps, and insurance.
If your vendors use AI in services they provide to you, you may need to collect disclosures, maintain logs, and verify safety practices, especially in states with new regulations. This means procurement contracts and vendor due diligence processes must be updated now.
Companies with customers or employees in multiple states will face different obligations depending on location. Each state may require unique disclosures, audits, or vendor standards.
Because there is no federal pre-emption, state laws will multiply faster than federal regulation. Businesses must plan for a complex, overlapping compliance environment.
Insurers are already asking about AI governance during renewals, and plaintiff attorneys are preparing AI-related claims. The RAISE Act’s emphasis on safety and transparency sends a clear message: companies without documented AI governance may face higher premiums or denied coverage.
Establishing AI inventories, assessments, and documentation today costs far less than retrofitting them after an incident or regulatory audit. For low-maturity or low-budget organizations, starting small provides a competitive advantage and prepares them for inevitable compliance demands.
If your company operates across multiple states, here’s what to expect:
The Board conversation is simple: “We must implement an auditable AI governance framework to meet emerging state and federal requirements. This is an operational control issue that protects valuation and enables innovation. The cost to start is minimal, but the cost to retrofit later or face enforcement could be substantial.”
Proper AI governance supports innovation. It does not have to slow it.
When employees know the rules, they can use AI tools with confidence for automation, reporting, and knowledge capture. Governance reduces risks from privacy breaches and non-compliance while improving accountability.
Well-governed companies also gain competitive benefits such as lower insurance hurdles, smoother vendor onboarding, and stronger due diligence in M&A or investment reviews.
AI governance is no longer optional. It is the foundation for safe, scalable innovation. New York’s RAISE Act is just the start. With all states (and many international movements) introducing AI legislation and federal actions underway, the compliance patchwork is permanent. Companies that act now will operate with confidence as regulations expand. Those that wait will scramble to retrofit, renegotiate, and defend their practices under pressure.
The organizations that will thrive are not the ones that avoid AI. They are the ones that embrace it responsibly, with governance that grows alongside their innovation. The time to start was yesterday, and getting started is easier than you think. How behind are you?
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