AI regulation is no longer a future concern. For executives, board members, and policy leaders, the real risk is not simply that AI laws are passing, but how those laws define obligations and assign enforcement authority. Those details decide what compliance teams must build, how quickly incidents must be disclosed, and what penalties organizations face. And those details are shaped through proactive advocacy long before enforcement begins.
Across the country, states are moving quickly. According to the National Conference of State Legislatures, all 50 states introduced AI-related legislation in 2025, with dozens enacting measures that span transparency, consumer protection, labor impacts, criminal law, and professional licensing. At the same time, federal AI actions, including executive branch directives, are shaping how state laws are interpreted and ultimately enforced.
All this creates a patchwork of obligations—and it explains why organizations that engage early in the policy process are better positioned to manage compliance risk.
How Lobbying Shapes Real-World Compliance
Advocacy is often misunderstood as a yes-or-no effort to pass or stop a bill. In practice, it influences four areas that matter directly to operations and enforcement:
- Scope and definitions. Thresholds determine who is covered and who is not. Revenue cutoffs and specific legal definitions decide whether obligations apply to a handful of developers or a much broader ecosystem.
- Compliance mechanics. Laws increasingly require public-facing disclosures and internal governance frameworks. Advocacy shapes what must be published, what can remain confidential, and how often materials must be refreshed.
- Enforcement design. Which agency oversees compliance—the attorney general, a specialized regulator, or a new oversight office—affects enforcement procedures.
- Implementation and updates. Many AI laws anticipate future revisions. Rulemaking and agency guidance drive ongoing policy cycles that require continued engagement.
California and New York illustrate how these levers work in practice.
Governance by Transparency
In September 2025, California Governor Gavin Newsom signed SB 53, the Transparency in Frontier Artificial Intelligence Act. California’s approach centers on transparency and structured oversight for the most advanced AI systems. Instead of banning models or dictating technical controls, the law requires organizations developing advanced AI systems to publicly document how they manage serious risk.
From an operational perspective, SB 53 turns AI safety into a governance obligation. Covered organizations must maintain public-facing safety frameworks and put clear release and incident-response processes in place. Whistleblower protections further reinforce executive accountability. Enforcement authority rests with the state attorney general, with civil penalties that can reach up to $1 million per violation.
The policy takeaway is that SB 53’s real impact lies in how it structures disclosure and oversight—details that were shaped through negotiation and will continue to be refined through implementation.
New York’s RAISE Act: Faster Reporting and Dedicated Oversight
New York followed with its own AI safety legislation. In December 2025, Governor Kathy Hochul signed the Responsible AI Safety and Education (RAISE) Act, which applies to large developers of advanced AI systems in the state. The law requires covered organizations to publish information about their safety protocols and to report qualifying incidents to the state within 72 hours of determining that an incident occurred. The law is scheduled to take effect on January 1, 2027.
By placing oversight within the Department of Financial Services, the law adopts a supervision-first model rather than a traditional consumer enforcement approach. Organizations should expect ongoing oversight and reporting, with enforcement and penalties handled by the New York Attorney General. Penalties can be imposed up to $1 million for an initial violation and up to $3 million for subsequent violations.
For organizations, the shorter reporting window heightens the need for predefined incident thresholds and decision-making authority. Defined penalty ceilings elevate AI safety to a board-level risk issue rather than a purely technical concern.
As with California, the final framework reflects negotiated tradeoffs around scope, penalties, and enforcement design—underscoring how advocacy shapes compliance reality long after passage.
Beyond California and New York: A Growing Patchwork
California and New York may be setting the tone, but they are not alone. States are regulating AI through many lenses—consumer protection, government procurement, labor impacts, criminal misuse, and professional standards. Colorado’s consumer-focused approach to high-risk AI systems (SB24-205), for example, requires developers and deployers to use reasonable care to protect consumers from algorithmic discrimination.
For organizations that build or use AI across multiple jurisdictions, this diversity creates various obligations. Even companies outside the frontier-model category may face compliance burdens through vendor contracts, public-sector procurement rules, or sector-specific laws. The compliance burden grows as definitions and enforcement mechanisms diverge.
Federal Pressure and the Preemption Debate
In December 2025, the White House issued an executive order calling for a unified national AI policy framework and directing federal agencies to evaluate and challenge state laws viewed as obstructive.
For regulated organizations, this means state AI compliance cannot be planned in isolation. Federal actions can reshape how aggressively states enforce their laws, and whether national standards override state regimes. That means advocacy at the federal level is increasingly decisive in determining whether companies face fifty variations of AI compliance—or a more harmonized framework.
Why Organizations Turn to Lobbyit
AI legislation is moving faster than traditional compliance cycles. The organizations best positioned to manage risk are those that help shape the rules before enforcement expectations solidify.
Organizations work with Lobbyit because we help them:
- Influence policy before it hardens
Engage federal lawmakers and agencies while the core rules and enforcement approach are still being shaped—when input can materially change outcomes. - Reduce multi-state compliance friction
Advocate for clearer federal standards and workable compliance expectations that limit conflicting obligations across jurisdictions. - Prepare for enforcement, not just passage
Track how federal agencies implement new laws through guidance, rulemaking, staffing, and funding decisions that determine how aggressively rules are enforced. - Engage at the federal level where harmonization happens
Shape national AI policy discussions and related agency frameworks that increasingly influence how state laws are interpreted and applied. - Match advocacy to business reality
Access a tiered pricing structure that allows organizations to scale engagement based on risk level and organizational readiness, without overcommitting resources.
As regulation accelerates, AI lobbying is no longer about reacting to laws after they pass. It is about shaping the rules that govern long-term operational freedom. Lobbyit draws upon years of collective experience to help organizations shape AI policy on the Hill and reduce regulatory uncertainty.