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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.

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In a Washington D.C. study, citizens expressed a desire for personal AI agents to help them navigate complex regulations and paperwork. This reveals a key user need: people want AI as a personal advocate against systemic complexity, not just as a tool for institutional optimization.

AI is more than a tool for modernizing government services. It's a disruptive force that changes society's needs, compelling government to ask if its existing programs are even the right ones. For instance, is unemployment insurance the correct response to permanent, AI-driven job displacement?

Government procurement is deterministic, while LLMs are probabilistic. To bridge this gap, introduce AI not as a decision-maker but as a tool to accelerate human tasks. Focus on AI assisting with research, note-taking, and initial drafting, keeping a human firmly in the loop to ensure compliance.

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.

When introducing AI automation in government, directly address job security fears. Frame AI not as a replacement, but as a partner that reduces overwhelming workloads and enables better service. Emphasize that adopting these new tools requires reskilling, shifting the focus to workforce evolution, not elimination.

Rather than pursuing a ground-up, AI-native overhaul, the federal government's approach to AI is pragmatic. The strategy is to apply existing tools like ChatGPT to mundane tasks, such as summarizing public comments, to achieve modest but immediate 3-10% efficiency gains and build momentum for modernization.

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.

The most significant value from AI is not in automating existing tasks, but in performing work that was previously too costly or complex for an organization to attempt. This creates entirely new capabilities, like analyzing every single purchase order for hidden patterns, thereby unlocking new enterprise value.

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's True Value in Government is Untangling Decades of Complex Regulations | RiffOn