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New York is using AI to analyze its entire legal code to identify and remove antiquated rules, such as those referencing telegrams. This practical application of AI streamlines government, turning a feared technology into a tool for deregulation and efficiency, completing the task in months instead of years.
With federal AI legislation stalled, states like Illinois, California, and New York are passing their own AI safety laws. Leading AI labs are endorsing these bills, recognizing that this state-level patchwork is effectively becoming the national standard for AI governance in the U.S.
Rather than relying solely on top-down regulation, Governor Hochul calls on the AI industry to use its own innovative capacity to solve the problems it creates. She is tasking tech companies with developing solutions for reducing energy consumption, water usage, and noise from their data centers.
Despite the risk of a fragmented legal landscape, the slow pace of federal AI legislation makes state-level action essential. States are acting as "laboratories of democracy," pioneering regulatory approaches that can later inform a much-needed national framework.
Youngkin's administration spent three years manually cutting 25% of state regulations. They then deployed an AI tool from a startup which, in a matter of months, identified an additional 10-15% for streamlining. This demonstrates AI's power to radically accelerate complex bureaucratic tasks.
Instead of static text, AI enables 'outcome-oriented' legislation. Lawmakers could simulate a bill's effects before passing it and embed dynamic triggers that automatically enact policies based on real-time data, like unemployment rates or tariff changes.
Instead of only using AI to help people comply with complex regulations, its real power lies in helping policymakers simplify them. AI can analyze thousands of pages of rules to identify what is vestigial, conflicting, or redundant, enabling the simplification required for scalable government services.
AI tools can act as 'bureaucratic archeologists,' allowing public servants to quickly trace the origins of entrenched, inefficient rules. This empowers them to differentiate between actual law and outdated interpretations, enabling reform from within by asking the right questions.
Facing a federal vacuum on AI policy, major players like OpenAI and Google are surprisingly endorsing state-level regulations in California and New York. This counter-intuitive move serves two purposes: it creates a manageable, de facto national standard they can influence, and it pressures a gridlocked Congress to finally act to avoid a messy patchwork of state laws.
By scanning entire regulatory codes, Vulcan Technology discovered that roughly 5% of state regulations are illegal because they reference statutes that have already been repealed. This finding creates a massive, immediate value proposition for governments: instant risk reduction and cleanup of their legal code.
AI can analyze and simplify vast, unmanageable rule-sets, like the 7,119 pages of New Jersey's unemployment regulations. It provides a technical path to simplification, but human political will is still required to enact the recommended changes.