Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Technology landscape

Technology landscape

How reported AI classifications spread across agencies, missions, lifecycle stages and sourcing. Each record carries one reported classification, so categories do not overlap. A classification describes the technique, not a specific commercial model.

Agency1
Stage
High-impact
Topic
AI type
Sourcing
Vendor
Function
Start year

Only records with a parseable start date match a year filter.

Agency: DOE · Department of Energytesting: blank

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI87
Classical / predictive ML93
Natural language processing12
Computer vision8
Agentic AI11
Reinforcement learning5
Other20
Not reported15

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI87
Classical / predictive ML93
Natural language processing12
Computer vision8
Agentic AI11
Reinforcement learning5
Other20
Not reported15

Technology adoption by agency

Row share: each agency's records by classification · 16 largest portfolios in the filter
Agency by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
DOE35%37%5%3%4%2%8%6%251

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
Science14%74%4%4%4%1%81
Information Technology61%14%8%14%3%36
Administrative Functions74%6%9%9%3%35
Energy and the Environment29%54%3%3%6%6%35
Other32%3%3%61%31
Cybersecurity43%43%14%7
Human Resources100%4
Emergency Management50%50%2
Procurement and Financial Management50%50%2
Transportation50%50%2
Health and Medical100%1

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI87
Classical / predictive ML93
Natural language processing12
Computer vision8
Agentic AI11
Reinforcement learning5
Other20
Not reported15

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI150 / 150 / 150 / 150 / 150 / 15
Classical / predictive ML70 / 70 / 70 / 70 / 70 / 7
Natural language processing0–––––
Computer vision10 / 10 / 10 / 10 / 10 / 1
Agentic AI20 / 20 / 20 / 20 / 20 / 2
Reinforcement learning0–––––
Other20 / 20 / 20 / 20 / 20 / 2
Not reported0–––––

Shows counts reported in place against all high-impact records of that technology. The remainder includes in-progress, not applicable and unanswered. Full governance view

Systems, vendors and technology are different things

96 of 251 records name a vendor (38%)
Microsoft2323 recordsOpenAI1111 recordsGoogle66 recordsAccenture55 recordsAmazon Web Services44 recordsAnthropic22 recordsBoston Dynamics22 recordsPalantir22 recordsCisco11 recordsCrowdStrike11 recordsDatabricks11 recordsDataminr11 recordsServiceNow11 recordsSkillsoft11 recordsSplunk11 records

Vendor: the supplier the agency names in a free-text field. Matched to a standard list of companies; one record may name several.

System name: the agency's name for the system (reported for 41% of records).

AI classification: the technique category the agency selected. A vendor name does not show which model or technique is used, and this platform does not infer it.