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.

Agency
Stage
High-impact
Topic
AI type
Sourcing
Vendor
Function1
Start year

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

Function: Translation and transcription

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI55
Classical / predictive ML13
Natural language processing48
Computer vision11
Agentic AI2
Reinforcement learning1
Other5
Not reported15

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI55
Classical / predictive ML13
Natural language processing48
Computer vision11
Agentic AI2
Reinforcement learning1
Other5
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
DOJ33%14%42%11%36
DHS38%4%42%8%8%26
HHS36%9%36%9%9%11
TREAS45%27%9%9%9%11
VA60%20%10%10%10
STATE67%22%11%9
NASA17%50%17%17%6
DOC100%6
SBA100%5
DOE20%40%20%20%5
DOL75%25%4
DOT100%3
SSA33%67%3
FRB100%2
FDIC50%50%2
USDA50%50%2

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
Law Enforcement25%8%50%18%40
Information Technology65%4%19%4%4%4%26
Administrative Functions55%15%20%5%5%20
Other58%33%8%12
Service Delivery30%20%50%10
Health and Medical33%22%33%11%9
Science13%25%38%13%13%8
Transportation25%75%4
Government Benefits Processing67%33%3
Emergency Management100%1
Energy and the Environment100%1
Human Resources100%1
International Affairs100%1

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI55
Classical / predictive ML13
Natural language processing48
Computer vision11
Agentic AI2
Reinforcement learning1
Other5
Not reported15

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI80 / 80 / 80 / 80 / 80 / 8
Classical / predictive ML20 / 20 / 20 / 20 / 20 / 2
Natural language processing142 / 140 / 140 / 140 / 141 / 14
Computer vision30 / 30 / 30 / 30 / 30 / 3
Agentic AI0–––––
Reinforcement learning0–––––
Other0–––––
Not reported10 / 10 / 10 / 10 / 10 / 1

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

61 of 150 records name a vendor (41%)
Microsoft1414 recordsAmazon Web Services66 recordsGoogle55 recordsDeloitte44 recordsOpenAI44 recordsVeritone33 recordsAxon22 recordsPalantir22 recordsAdobe11 recordsAnthropic11 recordsBooz Allen Hamilton11 recordsGitHub11 recordsInformatica11 recordsLexisNexis11 recordsMedallia11 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 39% 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.