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 Energy

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI150
Classical / predictive ML105
Natural language processing20
Computer vision8
Agentic AI13
Reinforcement learning5
Other24
Not reported15

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI150
Classical / predictive ML105
Natural language processing20
Computer vision8
Agentic AI13
Reinforcement learning5
Other24
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
DOE44%31%6%2%4%1%7%4%340

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
Information Technology76%9%8%7%1%90
Science15%73%4%4%4%1%84
Administrative Functions76%7%7%7%2%2%45
Energy and the Environment25%57%5%3%5%5%40
Other36%3%10%51%39
Cybersecurity38%50%13%8
Procurement and Financial Management38%38%13%13%8
Human Resources100%5
Emergency Management50%50%2
Transportation50%50%2
Health and Medical100%1
International Affairs100%1

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI150
Classical / predictive ML105
Natural language processing20
Computer vision8
Agentic AI13
Reinforcement learning5
Other24
Not reported15

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI170 / 172 / 172 / 170 / 172 / 17
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

160 of 340 records name a vendor (47%)
Microsoft5959 recordsOpenAI1313 recordsServiceNow99 recordsGoogle88 recordsAmazon Web Services77 recordsAccenture55 recordsAnthropic33 recordsBoston Dynamics22 recordsPalantir22 recordsCisco11 recordsCrowdStrike11 recordsDatabricks11 recordsDataminr11 recordsGitHub11 recordsSalesforce11 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 56% 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.