📊 Full opportunity report: The United States: The High-Variance Bet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

The United States is deliberately minimizing federal regulation of AI and social policies, betting on market-driven growth and local experiments. This approach contrasts with European models and raises questions about future economic dominance and inequality.

The United States is pursuing a policy approach that minimizes federal regulation of artificial intelligence and social safety nets, emphasizing market dynamism and local innovation. This strategy aims to foster rapid AI development and economic growth, positioning the country as a global leader while deliberately avoiding heavy guardrails.

Since early 2025, the US government has revoked previous AI oversight policies, replacing them with a focus on removing barriers to AI leadership. The administration has challenged state-level AI laws in court, withheld federal funds from states with restrictive rules, and sought congressional preemption of state regulations. This marks a clear shift toward deregulation, contrasting with European approaches that favor cautious regulation. Meanwhile, social safety nets such as the Earned Income Tax Credit (EITC) remain minimal and work-dependent, with no universal income guarantees. Instead, local governments are pioneering guaranteed-income pilots, like Stockton’s $500 monthly payments, creating a patchwork safety net driven by city-level initiatives rather than federal programs. The overarching strategy is based on the belief that market-driven growth and private ownership will generate more wealth, which can then be redistributed through work and private capital ownership, rather than through government intervention.

The United States: The High-Variance Bet · Post-Labor Atlas Phase 2 · Day 6/12
Post-Labor Atlas · Phase 2 · Day 6 / 12 ThorstenMeyerAI.com · The Response
The Response · Day 6 · United States

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.

01 Signature — a federal void, filled from below
▲ Federal — clear the path
Revoked prior AI oversight EO (Jan 2025) “AI dominance” Action Plan (Jul 2025) DOJ task force vs state AI laws (Jan 2026) push to preempt state rules floor tied to work (EITC)
↕   the federal void   ↕
▲ Local — fill the void
150+ city guaranteed-income pilots Stockton SEED · $500/mo Cook County · $500/mo made permanent (2026) philanthropic + city-budget no federal scale
The response is underway — bottom-up and patchy — while the center deregulates and moves to block the states.
02 The US five-lever profile — the sparest on the map
Income floor
minimal
EITC is real but entirely work-gated — near-zero for childless adults. No UBI; guaranteed income only in local pilots.
Capital & ownership
minimal
No state fund or dividend — the bet is private markets (401ks, retail) + nascent “Trump accounts”; equity ownership is concentrated.
Work & time
minimal
The most flexible labour market in the rich world — at-will, no job guarantee, no short-time-work scheme.
Skills & transition
partial
Community colleges + federal workforce programs — fragmented and modestly funded.
Institutions
minimal
Actively deregulatory — moving to preempt even state AI laws. The most market-led stance on the map.
03 The wager, in numbers
~$660 vs $8,231
EITC max for a childless worker vs a worker with 3+ kids (2026) — the floor is generous for working families, near-zero for childless adults.
150+ cities
running guaranteed-income pilots (Cook County made $500/mo permanent, 2026) — the floor improvised locally, no federal program.
preempt the states
a DOJ AI Litigation Task Force (2026) + a push to bar state AI laws — Washington isn’t light-touch; it’s moving to prevent regulation.
Sources: IRS / Center on Budget & Policy Priorities & Tax Policy Center (EITC); Mayors for a Guaranteed Income, Cook County (pilots); White House EOs & National Policy Framework (federal AI posture) · figures indicative, mid-2026.
04 The Response Matrix — row 5 of 10
Jurisdiction
Income floor
Capital
Work & time
Skills
Institutions
European Union
strong*
minimal
strong
strong
strong
The Nordics
strong
partial
partial
strong
strong
United Kingdom
partial
minimal
partial
partial
partial
Canada
partial
minimal
partial
partial
minimal
United States
minimal
minimal
minimal
partial
minimal
The Gulf
·
·
·
·
·
Singapore
·
·
·
·
·
China
·
·
·
·
·
India
·
·
·
·
·
Brazil
·
·
·
·
·
solid = pulled hard · outline = partial · grey = barely used · the market-led pole: minimal almost everywhere — bet on the engine, not the airbag. Highest upside, thinnest backstop.

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.

ThorstenMeyerAI.com · Post-Labor Transition Atlas · Phase 2 · Day 6 of 12 · © 2026 Thorsten Meyer

Implications of the US’s Deregulation Strategy

This approach aims to accelerate innovation by removing regulatory barriers, potentially positioning the US as a dominant force in AI and the future economy. However, it also risks increasing inequality and leaving social safety nets fragmented and insufficient for many. The reliance on local initiatives rather than federal programs creates a highly variable social safety landscape, which could exacerbate disparities and challenge social cohesion. The global impact is significant, as other countries observe and respond to this model, influencing international AI governance and economic competition.
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US Policy Shift and Historical Trends

Historically, the US has favored market-led innovation, with minimal regulation compared to European and Nordic countries. The recent policy shifts reflect a deliberate choice to prioritize rapid AI development and economic growth over social safety nets and regulatory oversight. The administration’s actions in early 2025, including revoking oversight orders and challenging state laws, signal a sustained stance of deregulation. Meanwhile, local governments have taken independent steps, implementing guaranteed-income pilots and experimenting with social policies outside the federal framework. This pattern continues a long-standing American tradition of improvisation and bottom-up solutions in response to technological change.

“The US is removing barriers to AI leadership to ensure our competitive edge in the global economy.”

— Official government statement

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Unclear Long-Term Outcomes of Deregulation

It remains uncertain whether the US’s minimal regulation strategy will sustain its economic and technological leadership without increasing inequality or social instability. The long-term impacts of relying on local initiatives and private ownership for social safety nets are still unknown, as is the potential for federal policy to shift in response to emerging challenges.

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Next Steps in US AI and Social Policy Development

Federal efforts to preempt state AI laws are expected to continue, with possible new legislation aimed at consolidating deregulation. Meanwhile, local governments are likely to expand their guaranteed-income pilots and social experiments, creating a patchwork safety net. Monitoring these developments will be crucial to understanding whether the US’s high-variance bet leads to sustained economic dominance or results in increased inequality and social fragmentation.

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Key Questions

Why is the US deregulating AI so heavily compared to Europe?

The US believes that heavy regulation would slow innovation and economic growth. Its strategy is to foster a competitive environment where private investment and market forces drive AI development, trusting that this will produce more wealth to be redistributed later.

What are the risks of relying on local initiatives for social safety nets?

Local programs like guaranteed-income pilots are unscaled and vary widely, which could lead to increased inequality and social disparities if federal or statewide safety nets remain weak or absent.

Could the US’s approach change in the future?

Yes, it is possible that political or economic pressures could lead to increased regulation or federal intervention if social or technological challenges become more pressing.

How does this strategy compare to other countries?

European countries tend to implement cautious regulation and comprehensive social safety nets, contrasting sharply with the US’s laissez-faire, market-led approach that emphasizes deregulation and local experimentation.

Source: ThorstenMeyerAI.com

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