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AI Adoption in the United States

The United States leads global AI investment and innovation. From Silicon Valley tech giants to healthcare systems to financial institutions, American companies are pioneering AI applications across every sector.
All countries
Data as of Nov 10, 2026
Dataset details
Revision
dsr-fc53bf0883afdfe4
Canonical records
3,963

Executive brief

United States is a top-1 mover among 87 peers on 6-month momentum.

Show metrics

Cases

1,395

243 in the last 6 months

Momentum

75Surging
#1 of 87Peer momentum

Innovativeness

3.2Differentiated

100% of evidence scored

Cases trend

Cases 1Agent 1
How this executive brief is measured

Concentration compares this view's share of source-linked deployments for a use-case type with that type's share across the full catalog. Momentum is a peer-relative 0-100 score based on recent deployment volume, acceleration, recent evidence share, and evidence depth. Quantified outcome medians appear only when at least 4 reported metrics support them; smaller supported samples are marked early evidence.

Country benchmark

How United States compares

United States ranks #1 of 87 for observed deployment evidence and #1 for momentum. Agents account for 35.2% of documented cases, above the peer median of 25%; 101 of 243 recent cases are agents. Average innovativeness is 0.03 above the peer median. Healthcare is the clearest specialization at 1.7× the global case mix.

Observed deployments

1,395

#1 of 87

Momentum

75/100

Top 2% by recent activity

Agent adoption

35.2%

41.6% of 243 recent cases

Innovativeness

3.16/5

1,395 scored cases

Where adoption differs

Industry share in this country versus the global case mix.

Portfolio share difference

Healthcare

22.6% here · 13.5% baseline

9.1 pp above1.7× baseline

Professional Services

7.7% here · 6.5% baseline

1.3 pp above1.2× baseline

Agriculture

2.2% here · 4.6% baseline

2.4 pp below0.5× baseline

Manufacturing

8.1% here · 10.4% baseline

2.3 pp below0.8× baseline
How this is measured

This compares published, source-linked deployment evidence, not total national AI investment. Rankings use one shared country benchmark dataset: 87 observed countries for volume and momentum, and up to 41 countries with at least 10 cases for rate comparisons. Industry differences compare the current country case mix with the current global case mix.

Implementation

Do teams build, buy, or compose this?

How the documented deployments in this view were built — custom engineering (Build), an off-the-shelf assistant (Buy), or low-code assembly (Compose).

340 classified cases
BuildBuyComposeMixed

340 of 400 cases classified (85%) · Compare all use-case types

Full report

Expand any section for the detail behind the summary above.

Reported challenge examples: Customers needed multi-region placement for latency and data residency requirements (2 cases), Reduce high live-action video production costs and latency for creators (2 cases), Scale production use cases for employees and researchers while maintaining governance (2 cases), Streamline access to current information (2 cases), and The district lacked real-time insights to support about 235,000 students across 235 schools (2 cases). Evidence is still limited; expand to inspect the source cases.

Adoption pulse: 243 of the 1,395 cases in this view were published in the last 6 months. Expand for the adoption curve.

Related Insights

Next steps

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