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United States

#1 globally

Americas

·

#1 in Americas

↑↑Strong Positive(+5)
0/ 100

AI Readiness Score

Readiness = capacity to build AI · Adoption = AI actually in use today

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Readiness Score

Can this country build AI?

91/100
↑↑Strong Positive(+5)
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Adoption Score

Is this country using AI now?

92/100
High Adoption

United States is deploying AI roughly in line with its readiness capacity.

Readiness vs Adoption — Radar

Blue = readiness capacity · Green = active adoption · Each axis pairs the closest dimension from each framework

Pillar Scores

Infrastructure19/20
Talent20/20
Governance14/20
Investment20/20
Economic Readiness18/20

Adoption Dimension Breakdown

High Adoption
Government Deployment
18/20
Enterprise AdoptionStrongest
19/20
Talent DemandWeakest
17/20
Consumer UsageStrongest
19/20
R&D PipelineStrongest
19/20

World-leading enterprise AI deployment across cloud, finance, and tech sectors drives mass adoption.

Trajectory Outlook

95
/100

by 2028

91 now+4 pts

Top Accelerator

Massive private capital deployment and frontier model leadership

Top Risk

Regulatory fragmentation and potential AI talent competition from China

Pillar Detail

Click any pillar to see supporting indicators and evidence

AI Analysis

via OpenRouter

Current State · Trajectory · Outlook

Click “Generate AI Analysis” for a strategic assessment of United States's AI trajectory.

AI Development Roadmap

Algorithmic roadmap based on pillar scores · Updated with live data

Leadership Phase

United States is in the Leadership Phase

Setting global norms and frontier research. Projected score by 2028: 95/100.

2028 Timeline

Now

Score 91

2

2025–26

Contributing to global AI safety standards

3

2026–27

Frontier research output in top 10 globally

4

2028

AI sector generating >2% of GDP

Priority Actions — 3 Weakest Pillars

Governance & Policy
14/20
Near

Lead multilateral AI safety standards at G20 / GPAI forums

Mid

Establish domestic AI audit and certification infrastructure for high-risk systems

Economic Readiness
18/20
Near

Leverage high productivity base to fund AI adoption subsidies for SMEs

Mid

Position as regional AI services hub; target $1B+ in AI-related services exports

Digital Infrastructure
19/20
Near

Upgrade backbone to sub-10ms latency for AI inference workloads

Mid

Establish distributed GPU cluster available to domestic researchers and startups

Roadmap generated algorithmically from pillar scores and World Bank data. Actions are indicative policy priorities, not official government plans.

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