A profound paradox currently defines the landscape of artificial intelligence in the United States. While the federal government is signaling a move toward a deregulated, innovation-first environment, states like New York and California are rapidly building complex regulatory frameworks that will serve as the de facto law of the land for years to come. With the recent enactment of the Responsible AI Safety and Education (RAISE) Act, New York has solidified its position as a primary regulator of advanced technology.
For business leaders, the challenge is governance. The RAISE Act creates a ripple effect that will redefine vendor relationships, liability structures, and operational transparency across every industry.
It is a dangerous mistake to assume that a lack of physical presence in the Empire State grants you immunity from the RAISE Act. Jurisdictional boundaries are increasingly porous. If you employ a remote workforce in New York, process the data of New York residents, or partner with vendors who utilize New York-based infrastructure to power their models, you are already within the blast radius of this legislation.
Much like the GDPR transformed global privacy standards, the RAISE Act is setting a high-water mark for AI safety. Because major AI developers are unlikely to build separate, less-secure versions of their tools for non-New Yorkers, the standards established here will become the default operational reality for your business, regardless of where your headquarters are located.
The Mechanics and Scope of the RAISE Act
The RAISE Act, which takes effect January 1, 2027, targets a specific tier of technology: frontier models. These are the largest and most advanced AI systems capable of enabling critical harms, like large-scale infrastructure damage, cyberattacks, or bioweapon development.
While earlier drafts of the bill focused on training costs, the final version uses a revenue-based trigger. The law applies to developers with more than $500 million in annual revenue or those operating these frontier models within the state of New York.
The law introduces four mandatory safety and transparency pillars, collectively known as the Core 4:
- Written Safety Protocols: Developers must create, follow, and publicly disclose comprehensive safety and security protocols that assess how their systems could cause critical harm.
- Rapid Incident Reporting: In perhaps the most aggressive provision, developers must report critical safety incidents to the state within 72 hours of discovery. This timeline is significantly shorter than California’s 15-day window, setting a new national benchmark for urgency.
- State Oversight Office: A new AI oversight office within the New York Department of Financial Services (DFS) will now require developers to register, pay oversight fees, and submit to annual safety risk reports.
- Attorney General Enforcement: While there is no private right of action, the New York Attorney General is empowered to levy fines up to $1 million for a first violation and $3 million for subsequent breaches.
The 72-Hour Reporting Window
One of the most significant risks for businesses today is the incident reporting gap. Many companies rely on third-party AI for mission-critical functions without realizing that the RAISE Act’s 72-hour reporting requirement applies only to the developer.
If an AI tool used by your business experiences a safety incident, such as a vulnerability that could lead to large-scale data theft or infrastructure failure, the developer is legally bound to notify the state of New York within 72 hours. However, unless your procurement contracts specifically mandate it, that developer may not be legally required to notify you in that same 72-hour window. This creates a scenario where the state and the regulator may know about a critical failure in your software stack before your own IT or security teams do.
The Federal Conflict and the Risk of a Regulatory Vacuum
The RAISE Act was signed against a backdrop of intensifying federal hostility toward state-level regulation. The Trump Administration has issued an executive order authorizing federal lawsuits against states that pass AI laws perceived to hinder innovation. The White House’s goal is to establish a minimally burdensome national standard that could potentially preempt state laws entirely.
The Regulatory Vacuum Businesses Cannot Ignore
However, this posture creates a dangerous regulatory vacuum for businesses. Federal preemption is not instantaneous; it is often a multi-year process involving protracted litigation and Congressional negotiation. In the interim, businesses are forced to operate inside a fragmented compliance landscape with no clear federal authority to rely on.
The real risk for business leaders is choosing the wrong horse. Preparing exclusively for a deregulated federal future while ignoring New York’s 2027 standards risks exclusion from one of the world’s largest financial markets. At the same time, over-engineering compliance around a single outcome can create unnecessary drag if federal deregulation eventually materializes.
The only viable strategy is flexible resilience: adopting the highest state-level safety standards as a regulatory floor while preserving the ability to adapt as federal policy evolves.
Why New York and California Must Be Your Baseline
Adopting the New York and California standards as your operational baseline is a defensive strategy against regulatory whiplash, not an act of over-compliance.
- Federal deregulation may offer temporary relief, but it creates compliance debt that compounds over time
- Building AI systems on the assumption of a permanent regulatory vacuum produces brittle, non-resilient infrastructure
- When political momentum shifts or carve-outs emerge, retrofitting governance controls becomes exponentially more expensive
By aligning with the RAISE Act now, you future-proof your organization. You reduce the risk that a sudden shift in Washington leaves your business legally exposed, operationally frozen, or uninsurable.
The Illusion of Silence From the Other States
While New York and California dominate the headlines, the silence from the other 48 states is not a sign of stability. It is a warning signal.
This absence of coordination creates a gray market of AI tools that may be acceptable in one jurisdiction today and prohibited tomorrow without notice. For organizations operating across state lines, this unpredictability undermines long-term planning and procurement strategy.
The Risk of Sudden State-Level Pivots
The most dangerous regulatory moments are not the slow-moving ones, they are the sudden pivots triggered by public incidents.
- A single high-profile AI failure can trigger emergency legislation in a previously silent state
- New rules may directly contradict New York or California standards, forcing rapid decoupling
- Tools embedded deep in national workflows can instantly become liabilities in key markets
This fragmentation makes “wait and see” a losing strategy. You cannot build a stable operating model on regulatory ambiguity. Businesses that plan for volatility, rather than clarity, will be the ones that stay operational when the ground shifts.
Downstream Liability
While the RAISE Act targets large-scale developers, smaller businesses face significant downstream risks regarding data transparency and liability. As developers implement the mandated safety protocols, they will inevitably pass those requirements, and the associated liabilities, down to their users through revised Terms of Service and End User License Agreements (EULAs).
Many businesses are already facing what is known as the black box problem: using AI systems without a clear understanding of the data used for training or the logic behind the outputs.
Under the new New York framework, if an AI model you deploy causes harm, you may be asked by regulators, insurers, or clients to provide documentation on that model’s safety protocols. If you cannot produce this information because your vendor treats it as a trade secret, the legal and financial liability could fall squarely on your organization.
This makes vendor diligence in 2026 more than just a box-checking exercise. It is a fundamental part of risk management. You must identify whether your AI vendors fall within the frontier model definitions and how they intend to manage safety risks in a way that protects their customers, not just themselves.
A Strategic Roadmap for 2026: Building Resilience
To prepare your organization for this new era, we must focus on three strategic pillars:
- Forensic Vendor Diligence: Move beyond standard questionnaires. You must demand transparency from AI vendors regarding their compliance with New York and California standards. Specifically, you need to understand their kill switches, their internal audit processes, and how they define critical harm. A vendor that cannot explain their safety protocols is a vendor that exposes you to unmitigated risk.
- Modernizing Procurement and Contracts: Your 2026 procurement strategy must include specific AI safety disclosures and incident-notification clauses. You should negotiate for right-to-know provisions that require vendors to notify you of any safety incident reported to the state of New York within the same 72-hour window. This ensures you are never the last to know about a failure in your own technology stack.
- Internal Governance and AI Mapping: You cannot manage what you have not mapped. Use 2026 to create a comprehensive inventory of every AI tool used within your organization. Identify which tools are high-risk and which are frontier. Documenting your internal use cases now will serve as your primary defense if you are ever caught in a downstream regulatory investigation.
Tactical Survival in the New Frontier
We are no longer debating whether AI will be regulated. We are deciding who will survive the transition.
I work with leadership teams to map AI exposure, pressure-test vendor risk, and build governance frameworks that hold up under real enforcementl, not theoretical compliance. The companies that wait for clarity will be the ones forced into rushed, expensive rebuilds when the rules snap into place.
2026 is your window. This is the year to audit your AI ecosystem, renegotiate contracts, and put controls in place that protect your business regardless of how federal and state power struggles resolve.
If you want to move forward with confidence instead of reacting under pressure, let’s build a strategy that keeps you compliant, insurable, and operationally dominant, before the next line is drawn.
