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A more effective policymaking model is "outcomes-driven legislation," where lawmakers define a goal and give agencies freedom to achieve it. The current model, which specifies every rule, locks agencies into rigid, inefficient processes, especially when legislators disagree on the ultimate goal.

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Politicians are incentivized to pass more bills to show they are "doing something." However, this constant addition of regulation and process often makes issues like housing and education more expensive and complex, demonstrating a paradox where less government intervention could yield better results.

Decades of adding regulations without subtracting have made the current defense procurement framework unsalvageable through minor adjustments. To achieve necessary speed and efficiency, policymakers must abandon the current system and start fresh, focusing on outcome-based contracts rather than process compliance.

The CHIPS Act's success came from a 'happy medium' design. Congress set a clear, bipartisan objective (semiconductors) but granted the executive team broad discretion on implementation. This structure proved more effective than an overly broad mandate (e.g., 'economic security') or overly prescriptive legislation.

Treat government programs as experiments. Define success metrics upfront and set a firm deadline. If the program fails to achieve its stated goals by that date, it should be automatically disbanded rather than being given more funding. This enforces accountability.

Decades of well-intentioned regulations—for environmental, labor, and community engagement—have accumulated into a bureaucratic 'cruft'. While each rule is justifiable in isolation, their cumulative effect has hobbled government, making it unable to efficiently deliver basic services like housing.

In siloed government environments, pushing for change fails. The effective strategy is to involve agency leaders directly in the process. By presenting data, establishing a common goal (serving the citizen), and giving them a voice in what gets built, they transition from roadblocks to champions.

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.

Well-intentioned laws become distorted through layers of interpretation down the chain of command. This 'cascade of rigidity' results in practices that are inefficient and sometimes contrary to the original legal intent, creating perverse outcomes and process bottlenecks.

Every negative news story creates a legislative impulse to add more rules for safety. This "safetyism" leads to layers of process and bureaucracy that ultimately hinder progress. It's a politically safe way for legislators to appear active without being accountable for actual outcomes.

A former White House advisor noted that the core theories behind major policies are often well-established. The true challenge and critical skill is navigating the complex government process—the interagency meetings and procedures—to translate an idea into official action.