📊 Full opportunity report: The United States: The High-Variance Bet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
The US is adopting a hands-off regulatory stance on AI, prioritizing innovation and private ownership, while local governments experiment with guaranteed income programs amid federal minimal intervention. This approach could reshape global AI leadership and social safety nets.
The United States is implementing a deliberate strategy of minimal regulation for artificial intelligence, actively challenging state laws and focusing on fostering innovation rather than imposing safeguards. This approach, confirmed by recent executive orders and legislative proposals, positions the US as a market-led leader in AI development, with significant implications for global competitiveness and domestic social policies.
Since January 2025, the US administration has shifted from oversight to promoting AI leadership through deregulation. Key actions include revoking previous oversight orders, establishing a Department of Justice task force to challenge state AI laws, and seeking federal preemption of state regulations—confirmed by official White House statements. Meanwhile, the federal safety net remains minimal; the Earned Income Tax Credit (EITC) provides limited support, mainly for working families with children, with no universal income guarantee. Instead, local governments are pioneering guaranteed income pilots, such as Stockton and Cook County, creating a patchwork of social support independent of federal policy. This dual approach—federal deregulation combined with local social initiatives—is shaping the US’s unique stance on AI and social safety nets, emphasizing market dynamism over government intervention, and risking increased variability across states and localities.The High-Variance Bet
The country building the disruption made the most distinctive choice of all: bet on the dynamism, regulate it least — even block others from regulating it — and tie the floor to work. The thinnest row on the map.
Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. This is analysis, not policy, economic, investment, or legal advice. Descriptions of US federal AI executive actions, the EITC, “Trump accounts,” and municipal guaranteed-income pilots reflect publicly reported information as of mid-2026 and may change as litigation and legislation evolve. This phase maps differing approaches and endorses none; characterizations of contested policies present competing views, not a verdict, and references to specific administrations and programs are factual and analytical, not partisan. Country and program names are referenced for analysis and imply no affiliation.
This strategy could cement US dominance in AI innovation by reducing regulatory barriers, but it also risks widening social disparities due to minimal federal safety nets. The decentralized, experimental approach to social support may lead to uneven economic outcomes and influence global policy standards, making the US a highly variable case in the future of AI and social policy. The approach reflects a belief that fostering innovation and private ownership outweighs the need for comprehensive regulation or universal safety programs, which could reshape the global landscape of AI governance and social welfare.
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In early 2025, the Biden administration signaled a clear departure from previous AI oversight policies, emphasizing leadership through deregulation. Executive orders in January and December 2025 prioritized removing barriers to AI innovation, with the latter establishing a Department of Justice task force to challenge state-level AI laws. Congress has been urged to preempt state regulations altogether. At the same time, the US’s social safety net remains minimal at the federal level, with the EITC providing limited support mainly to working families with children. Meanwhile, over 150 cities and counties have launched guaranteed income programs, such as Stockton’s $500 monthly payments, creating a decentralized patchwork of social initiatives. These local efforts are largely independent of federal policy, which actively discourages regulation and oversight, especially at the state level. This divergence marks a distinct American approach: fostering innovation at the federal level while experimenting with social safety nets locally, often funded through philanthropy and city budgets.
“The US is moving to ensure that no one in its territory does — including the states, several of which had begun writing their own worker and consumer protections.”
— Thorsten Meyer, expert on US policy
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Unclear Impact of Federal Deregulation on Global AI Leadership
While the US’s deregulation strategy is well-documented, it remains uncertain how this will affect the country’s long-term global leadership in AI, especially in comparison to more regulated approaches in Europe and Asia. The potential for regulatory gaps to cause safety or ethical issues, and how these might influence international cooperation or reputation, is still developing. Additionally, the precise scale and effectiveness of local guaranteed income programs as a response to economic shifts remain unclear and vary widely across jurisdictions.
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Federal policymakers are expected to continue pushing preemption of state laws and resist calls for increased regulation, aiming to sustain a deregulated environment for AI innovation. Concurrently, local governments will likely expand and refine guaranteed income pilots, testing alternative social safety models. Monitoring these developments will be crucial to understanding whether the US’s high-variance, market-led approach can sustain economic growth and social stability amid rapid technological change.
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Key Questions
Why is the US deregulating AI while other countries are more cautious?
The US believes that minimal regulation will foster faster innovation and maintain its competitive edge in AI development, trusting that market forces will manage risks better than heavy oversight.
What are the risks of the US’s deregulation approach?
Potential risks include safety and ethical concerns, increased variability across states, and challenges in international cooperation if standards diverge significantly.
How are local governments responding to the federal minimal regulation stance?
Many cities and counties are independently launching guaranteed income programs and social support experiments, often funded by philanthropy, creating a patchwork of safety nets outside federal control.
Will the US’s approach influence global AI regulation standards?
It is possible, especially if the US maintains its leadership in AI innovation, but divergence with more regulated regions could complicate international cooperation and standards development.
What happens if the local social programs expand or fail?
The success or failure of these programs could influence future federal policy decisions and shape the broader social safety net landscape in the US.
Source: ThorstenMeyerAI.com
