📊 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 betting on minimal regulation and market-driven solutions for AI and social safety nets. This approach emphasizes growth and ownership, with significant reliance on city-level initiatives amid federal inaction.
The United States is pursuing a deliberate strategy of minimal regulation for artificial intelligence and social safety nets, emphasizing market dynamism and private ownership over government intervention. This approach aims to foster innovation and wealth creation, with the federal government actively blocking stricter state-level rules and promoting deregulation.
Since January 2025, the Biden administration has revoked previous AI oversight policies, replacing them with a focus on removing barriers to American AI leadership. In July 2025, the administration released an ‘AI Action Plan’ advocating for dominance through minimal regulation. By December 2025, executive orders targeted state AI laws, threatening to withhold federal funds from states with burdensome regulations and challenging their mandates in court. In March 2026, the White House formally requested Congress to preempt state AI laws altogether.
Meanwhile, the social safety net landscape is characterized by a federal void. The Earned Income Tax Credit (EITC) remains the primary federal support, but it is work-gated and offers little aid to adults without children. State-level guaranteed-income programs are rare and mostly experimental, with over 150 cities running pilots such as Stockton and Cook County. These local initiatives are independent of federal policy, funded by philanthropy and city budgets, and are not scaled nationally. The federal government’s stance is to minimize intervention, viewing regulation as a potential obstacle to innovation and economic growth.
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.
The United States’ approach to AI and social policy could influence global standards, as other countries observe its emphasis on deregulation and private ownership. The strategy prioritizes economic growth and technological leadership, potentially at the expense of social safety nets and consumer protections. This high-variance model contrasts with European and Nordic countries that favor regulation and universal safety programs, raising questions about long-term sustainability and social equity.
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US Policy Shift and the Rise of Local Experiments
Historically, the US has favored market-led solutions during technological upheavals, trusting that innovation creates new opportunities. This pattern repeats with AI, where federal agencies are actively withdrawing from oversight, while cities and states experiment with guaranteed-income pilots. The federal posture reflects a belief that minimal regulation fosters rapid growth, but it leaves a gap in national safety nets, which local initiatives attempt to fill independently.
“Our focus is on removing barriers to American leadership in AI, not on imposing burdensome regulations.”
— White House spokesperson
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Unclear Long-Term Impact of Deregulation Strategy
It remains uncertain whether the US approach will sustain long-term economic growth without increasing social inequality or regulatory risks. The effectiveness of local guaranteed-income pilots and the potential for federal policy shifts are still developing and could alter the current trajectory.
city-level guaranteed income programs
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Federal efforts to preempt state AI laws are likely to continue, with possible congressional legislation to formalize deregulation. Meanwhile, local initiatives may expand or face funding challenges. Observers expect ongoing debates over the balance between innovation and social safety, with potential shifts depending on technological and economic developments.
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Key Questions
Why is the US avoiding regulation of AI?
The US believes that minimal regulation will foster faster innovation and economic growth, trusting that market forces will lead to technological dominance.
Local governments and cities are running independent guaranteed-income pilots, funded by philanthropy and city budgets, but these are small-scale and not part of a national program.
What risks does this strategy pose?
Potential risks include increased social inequality, lack of consumer protections, and long-term sustainability concerns if growth outpaces social safety measures.
Could this approach change in the future?
Yes, political and economic developments could lead to increased regulation or different social policies, but currently, the federal stance remains strongly deregulation-focused.
Source: ThorstenMeyerAI.com
