The United States: The High-Variance Bet

📊 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 intentionally avoiding heavy AI regulation, relying instead on market forces and local experiments to shape the future economy. This approach contrasts with Europe’s more cautious stance and creates a highly variable policy landscape.

The United States has embarked on a strategy of minimal federal regulation for artificial intelligence and social welfare, actively opposing state-level rules and emphasizing market-driven growth. This approach aims to foster innovation and ownership, contrasting sharply with European regulatory models, and has significant implications for the global AI landscape.

Since early 2025, the US government has shifted its stance from oversight to actively removing barriers for AI leadership. In January 2025, the administration revoked previous AI oversight orders, replacing them with a focus on ‘Removing Barriers to American Leadership in Artificial Intelligence.’ By July 2025, the ‘AI Action Plan’ was introduced, emphasizing minimal regulation to maintain US dominance. In December 2025, an executive order set up a Department of Justice task force to challenge state AI laws, threaten federal funding for states with burdensome rules, and treat some state-mandated AI requirements as deceptive practices. Congress is now being asked to preempt state AI laws outright. This federal posture is complemented by a deliberate effort to prevent state-level regulations, including legal challenges and withholding federal funds. Meanwhile, at the social policy level, the US maintains a sparse safety net, with the Earned Income Tax Credit (EITC) providing limited support only to working families with children. Local governments are filling gaps through city-led guaranteed income pilots, but these remain small-scale and uncoordinated. The overall picture is one of a federal void filled from below, with local initiatives trying to address social needs in the absence of comprehensive federal programs.

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 Minimal Regulation on US Innovation

This approach positions the US as a leader in AI and economic growth by prioritizing market dynamism over regulation. It aims to accelerate innovation, increase private ownership, and maintain competitive advantage globally. However, it also raises concerns about social safety nets, worker protections, and regulatory consistency, potentially leading to a highly uneven policy landscape with significant regional disparities.

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US Policy Shift and Local Responses to AI and Social Safety Nets

Historically, the US has favored market-led innovation, but recent policy shifts have taken this to an extreme. Starting in early 2025, federal agencies moved away from oversight, emphasizing competitiveness through deregulation. This was followed by executive orders and legislative efforts to preempt state laws, creating a federal environment where regulation is minimal. Meanwhile, local governments have launched numerous guaranteed income pilots, such as Stockton and Cook County, attempting to address social issues independently of federal policy. This patchwork strategy reflects a deliberate choice to let market forces and local initiatives shape the future, rather than federal programs.

“Our focus is on removing barriers to American leadership in AI, not imposing burdensome rules that could stifle progress.”

— White House spokesperson

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Unclear Impact of Federal Deregulation on Social Safety Nets

While the federal government has minimized direct social safety programs, it remains unclear how this will affect long-term social stability, inequality, and regional disparities. The effectiveness of local guaranteed income pilots as substitutes for federal programs is still under observation, and potential gaps in support could emerge as AI and automation reshape employment.

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Future Developments in US AI Policy and Local Initiatives

Expect continued federal efforts to preempt state AI laws, possibly leading to legal challenges and legislative battles. Local governments are likely to expand guaranteed income programs, but scaling and coordination remain uncertain. Monitoring federal legislative proposals and local policy experiments will be essential to understanding how the US balances innovation with social stability in this high-variance approach.

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Key Questions

Why is the US avoiding regulation on AI?

The US believes that minimal regulation will foster innovation, private ownership, and global competitiveness, based on historical patterns of technological change.

How are local governments responding to social needs?

Many cities are running guaranteed income pilots, like Stockton and Cook County, to address social safety nets independently of federal policy.

What risks does this approach pose?

The approach could lead to increased regional disparities, gaps in social protections, and potential regulatory chaos as local and federal policies diverge.

Will the federal government change its stance?

It is uncertain; current policies indicate a continued focus on deregulation and preemption, but political shifts could alter this trajectory.

How does this compare to Europe’s approach?

Europe tends to implement heavier regulation and safety standards, whereas the US emphasizes market-led growth with minimal federal oversight.

Source: ThorstenMeyerAI.com

Nothing in this article is financial or investment advice. Cryptocurrency and precious-metal investments carry significant risk — do your own research and consider a licensed advisor.
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