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

Federal AI at a glance

40 agencies · 3,330 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 3,330 use cases →
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
3,330 Reported AI use cases40 agencies850 Deployed415 Pilots318 Designated high-impact
Decorative federal AI network visualization; not a representation of agency deployment locations or relationships.
Scale & composition

Agencies behind federal AI

Select an agency to explore
Ring shows composition · node area shows use cases
HHS447NASA425VA367DOE262DOJ239DOC223DOI210DHS199USDA161TREAS127
In development/acquisition1,416Pilot415Deployed850Retired311Not reported338Largest portfolio: 447 · 40 agencies

Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.

AI technology mix

Reported classification · click to cross-filter

26% generative or agentic. Each record carries one classification; not reported is shown hatched.

Mission areas

Topic area as reported

Lifecycle composition

3,330 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment10%35%
Pilot5%39%
Deployed12%26%
Retired18%1%

Impact and technology shares use each stage's records as the denominator.

From development and acquisition to retirement. Select a stage to explore its reported use cases.

Reading the inventory

Evidence, with its limits visible

HHS, NASA, VA report 1,239 of 3,330 use cases (37%).

Understand the methodology →

Evolution of reported AI use cases

By agency-reported start year · click a year to filter
0200400<15'15'16'17'18'19'20'21'22'23'24408'25'26
Generative or agenticOther or unclassified1,139 of 3,330 records report a parseable start date

Start dates are agency-reported operational or pilot dates, not inventory submission dates. 2026 values are planned or early-year. Undated records are excluded from this chart only.

Sourcing

Reported for 40% of records

Each square is 1% of filtered records. Where reported, 68% involve in-house development.

High-impact AI

Agency self-designation under M-25-21Governance view
3,330records
Minimum practices · 318 high-impactin place
Pre-deployment testing0%
AI impact assessment0%
Independent review0%
Ongoing monitoring0%
Operator training0%
Fail-safe0%
Appeal process0%
User and public consultation0%
Reported in placeReported in progressNo answer reported

High-impact is the agency's own classification, not an independent risk rating. No answer reported is missing evidence, not evidence that a practice is absent. 0% of high-impact records answer any practice question.

Analytical observations

Computed from the current filter; reproducible
  • FindingHHS, NASA, VA report 1,239 of 3,330 use cases (37%).
  • Finding26% of reported deployed use cases (220 of 850) are classified as generative or agentic AI. View records
  • FindingOf 102 deployed high-impact use cases, 0 report a completed AI impact assessment and 101 leave every minimum-practice field blank. View records
  • InterpretationBlank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
  • FindingSourcing is reported for 40% of use cases. Where reported, 68% involve in-house development.
  • Finding338 use cases (10%) have no reported development stage. View records
AI classification reported80%
Stage not reported338
Sourcing reported40%