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Contrary to the belief that technology moves faster than policy, the AI policy landscape is currently accelerating rapidly. This is because DC is underratedly 'AGI-pilled,' run by highly online young staffers who are deeply engaged with the discourse, making it a more forward-looking environment than even Wall Street.
The idea of government ownership in major AI labs is gaining traction across the political spectrum. Proposals from both Senator Bernie Sanders and the Trump White House indicate the Overton window on government intervention is shifting quickly as AI capabilities increase and IPOs loom.
Legislators are crafting AI regulations based on the narrow, outdated use case of chatbots (e.g., protecting kids from predators). This misses the far more significant paradigm of locally-hosted, open-source AI agents. The current policy debate is fighting the last war and risks creating irrelevant or harmful laws.
The traditional government model of setting a regulation and waiting years to assess it is obsolete for AI. A new approach is needed: a dynamic board of government, industry, and academic leaders collaborating to make and update rules in real-time.
The emergence of high-quality, open-source AI models from China (like Kimi and DeepSeek) has shifted the conversation in Washington D.C. It reframes AI development from a domestic regulatory risk to a geopolitical foot race, reducing the appetite for restrictive legislation that could cede leadership to China.
Despite perceptions that China was far ahead in integrating AI into its government, the US is catching up with surprising speed. This acceleration is fueled by both a new wave of patriotic entrepreneurs and an increased willingness within government agencies to change rules and adopt cutting-edge technology.
Dean Ball reveals the "America's AI Action Plan" was crafted with layered meanings, intended to be re-read and better understood by policymakers only after their comprehension of AI's transformative potential had grown over time.
The economic and societal impact of AI is forcing politicians across the aisle to collaborate. From co-sponsoring legislation on AI-driven job loss to debating state vs. federal regulation, AI is creating common ground for lawmakers who would otherwise rarely work together.
The growing consensus in Congress for AI regulation is driven less by national security or abstract safety concerns and more by the pragmatic fear of massive job displacement in their home districts. This political reality is creating unlikely bipartisan alliances focused on mitigating the economic disruption of AI.
AI is the first revolutionary technology in a century not originating from government-funded defense projects. This shift means policymakers lack the built-in knowledge and control they had with nuclear or space tech, forcing them to learn from and regulate an industry they did not create.
AI policy has evolved from a niche topic into a viable campaign issue for ambitious state-level politicians. The sponsors of both New York's RAISE Act and California's SB 53 are leveraging their legislative victories on AI to run for U.S. Congress, signaling a new era where AI regulation is a key part of a politician's public platform.