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

Federal AI at a glance

21 agencies · 662 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 662 use cases →
Agency
Stage
High-impact
Topic
AI type1
Sourcing1
Vendor
No options match.
Function
Start year

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

AI type: Not reportedSourcing: Not reported
662 Reported AI use cases21 agencies3 Deployed5 Pilots55 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
DOC223VA72
In development/acquisition12Pilot5Deployed3Retired304Not reported338Largest portfolio: 223 · 21 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

0% generative or agentic. Each record carries one classification; not reported is shown hatched.

Mission areas

Topic area as reported

Lifecycle composition

662 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment0%0%
Pilot0%0%
Deployed0%0%
Retired18%0%

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

DOC, VA, TVA report 354 of 662 use cases (53%).

Understand the methodology →

Evolution of reported AI use cases

By agency-reported start year · click a year to filter
05<15'15'16'17'18'19'20'21'22'23'249'25'26
Generative or agenticOther or unclassified17 of 662 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 0% of records

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

High-impact AI

Agency self-designation under M-25-21Governance view
662records
Minimum practices · 55 high-impactin place
Pre-deployment testing0%
AI impact assessment0%
Independent review0%
Ongoing monitoring0%
Operator training0%
Fail-safe0%
Appeal process0%
User and public consultation0%
No 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
  • FindingDOC, VA, TVA report 354 of 662 use cases (53%).
  • Finding0% of reported deployed use cases (0 of 3) are classified as generative or agentic AI. View records
  • FindingSourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.
  • Finding338 use cases (51%) have no reported development stage. View records
AI classification reported0%
Stage not reported338
Sourcing reported0%