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
Function
Start year

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

training: blank

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI763
Classical / predictive ML1,011
Natural language processing421
Computer vision248
Agentic AI114
Reinforcement learning12
Other99
Not reported662

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI763
Classical / predictive ML1,011
Natural language processing421
Computer vision248
Agentic AI114
Reinforcement learning12
Other99
Not reported662

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
HHS31%19%26%4%6%2%11%447
NASA9%66%6%11%5%1%1%0%425
VA15%21%16%22%7%0%20%367
DOE37%36%5%3%4%2%8%6%262
DOJ33%32%20%6%1%8%239
DOC100%223
DOI7%68%6%7%2%0%4%6%210
DHS31%23%14%15%1%17%199
USDA20%48%9%10%2%12%161
TREAS61%13%12%2%2%2%9%127
DOT21%7%4%6%61%70
SEC40%23%3%7%5%2%20%60
TVA100%59
STATE29%9%17%2%3%40%58
ED100%56
FDIC14%30%18%4%6%28%50

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIReinforcement learningOtherNot reportedn
Science9%70%6%10%4%1%2%728
Administrative Functions48%19%20%5%3%0%3%1%403
Information Technology53%19%13%2%7%2%3%341
Health and Medical17%23%27%29%4%1%264
Other32%29%24%3%1%0%10%0%214
Law Enforcement24%36%20%17%2%1%190
Service Delivery39%22%30%5%2%1%1%131
Energy and the Environment13%37%3%5%2%3%4%34%120
Procurement and Financial Management41%33%17%1%8%83
Transportation13%20%9%8%4%1%45%76
Government Benefits Processing35%19%19%8%19%48
Cybersecurity26%52%9%2%9%2%46
Human Resources55%18%16%7%2%2%44
Emergency Management13%47%25%9%3%3%32

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI763
Classical / predictive ML1,011
Natural language processing421
Computer vision248
Agentic AI114
Reinforcement learning12
Other99
Not reported662

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI450 / 450 / 450 / 450 / 450 / 45
Classical / predictive ML800 / 800 / 800 / 800 / 800 / 80
Natural language processing370 / 370 / 370 / 370 / 370 / 37
Computer vision780 / 780 / 780 / 780 / 780 / 78
Agentic AI210 / 210 / 210 / 210 / 210 / 21
Reinforcement learning0–––––
Other20 / 20 / 20 / 20 / 20 / 2
Not reported550 / 550 / 550 / 550 / 550 / 55

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

601 of 3,330 records name a vendor (18%)
Microsoft9191 recordsOpenAI3838 recordsGoogle2929 recordsDeloitte2525 recordsPalantir2323 recordsAmazon Web Services2222 recordsThomson Reuters1212 recordsGuidehouse99 recordsLeidos99 recordsLexisNexis99 recordsAccenture77 recordsAdobe77 recordsAretec77 recordsAnthropic66 recordsCredal66 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 20% 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.