Country insight
AI Adoption in the United States
Executive brief
United States is a top-1 mover among 86 peers on 6-month momentum.
Cases
1,378
408 in the last 6 months
Innovativeness
100% of evidence scored
Cases trend
Trend appears once at least two monthly buckets are available.
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 86 for observed deployment evidence and #1 for momentum. Agents account for 34.6% of documented cases, above the peer median of 25%; 155 of 408 recent cases are agents. Average innovativeness is 0.02 above the peer median. Healthcare is the clearest specialization at 1.7× the global case mix.
Observed deployments
1,378
#1 of 86
Momentum
93/100
Top 2% by recent activity
Agent adoption
34.6%
38% of 408 recent cases
Innovativeness
3.14/5
1,378 scored cases
Where adoption differs
Industry share in this country versus the global case mix.
Portfolio share difference
Healthcare
23.7% here · 13.8% baseline
Manufacturing
8.4% here · 11.6% baseline
Agriculture
3% here · 5% baseline
How this is measured
This compares published, source-linked deployment evidence, not total national AI investment. Rankings use one shared country benchmark dataset: 86 observed countries for volume and momentum, and up to 39 countries with at least 10 cases for rate comparisons. Industry differences compare the current country case mix with the current global case mix.
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).
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: 408 of the 1,378 cases in this view were published in the last 6 months. Expand for the adoption curve.
Featured cases:
- Brown University Health deploys Microsoft Dragon Copilot and Copilot Studio AI agents to reduce clinician documentation burden
- Aible: Trusted generative AI agents using BigQuery + Cloud Run (serverless)
- How Guardoc transforms medical document processing with Amazon Nova models
- Flat Ads automates advertising video/data processing using Alibaba Cloud AI services
- CompleteCare/Intelligence deployment of Copilot Studio & Azure AI Foundry for a nonprofit case management program
- FoodPharma reduces cross-functional reporting from 2 days to 90 minutes with Microsoft Fabric
- Mars — Gemini Enterprise Agent Platform for agentic campaign creation and workforce automation
- Proforce Pest Control — Gemini + BigQuery/Routes Optimization for dispatch and contact center productivity