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
Stage1
High-impact
Topic
AI type
Sourcing
Vendor
Function
Start year

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

monitoring: blankStage: Pilot

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI145
Classical / predictive ML146
Natural language processing59
Computer vision26
Agentic AI18
Reinforcement learning2
Other14
Not reported5

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI145
Classical / predictive ML146
Natural language processing59
Computer vision26
Agentic AI18
Reinforcement learning2
Other14
Not reported5

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
HHS43%14%32%1%8%2%88
DOI5%74%13%4%4%77
DOE57%22%2%8%12%51
USDA6%70%9%13%2%47
DOJ60%20%12%8%25
TREAS59%14%18%5%5%22
NASA24%52%10%5%10%21
VA38%29%29%5%21
STATE56%11%33%9
FRB14%57%29%7
DHS57%14%29%7
EPA57%14%29%7
SEC80%20%5
NSF100%4
NTSB67%33%3
FDIC33%33%33%3

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
Science9%72%4%9%1%1%3%138
Administrative Functions51%15%25%6%3%65
Information Technology65%10%15%2%10%62
Other36%18%23%3%3%18%39
Health and Medical48%14%28%7%3%29
Law Enforcement53%16%5%26%19
Service Delivery57%7%7%14%7%7%14
Energy and the Environment10%60%10%10%10%10
Emergency Management22%44%22%11%9
Procurement and Financial Management13%38%38%13%8
Cybersecurity33%33%17%17%6
Human Resources50%50%6
Government Benefits Processing100%3
International Affairs100%1

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI145
Classical / predictive ML146
Natural language processing59
Computer vision26
Agentic AI18
Reinforcement learning2
Other14
Not reported5

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI100 / 100 / 100 / 100 / 100 / 10
Classical / predictive ML60 / 60 / 60 / 60 / 60 / 6
Natural language processing30 / 30 / 30 / 30 / 30 / 3
Computer vision0–––––
Agentic AI0–––––
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

156 of 415 records name a vendor (38%)
Microsoft2626 recordsOpenAI1616 recordsGoogle77 recordsAmazon Web Services66 recordsAnthropic55 recordsPalantir55 recordsDeloitte44 recordsEsri33 recordsPerplexity33 recordsThomson Reuters33 recordsxAI33 recordsLexisNexis22 recordsAdobe11 recordsBoston Dynamics11 recordsClearview AI11 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 37% 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.