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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Agency AI profile

National Science Foundation (NSF)

Generated 2026-10-11 23:49 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = NSF · 17 records

Key findings

  • NSF reported 17 use cases (0.5% of all records): 2 deployed, 4 pilots, 11 in development or acquisition, 0 retired, 0 with no stage.
  • 0 are designated high-impact; 0 of those answered at least one minimum-practice question.
  • Mean disclosure completeness is 25% of 12 core fields, ranking 37 of 41 agencies.
  • Sourcing is reported for 0% of records.

Portfolio

Technology

ClassificationRecordsShare
Not reported17100%

Topic areas

TopicRecordsShare
Not reported17100%

Governance disclosures (high-impact records)

No use cases designated high-impact.

Field completeness

FieldNSFAll agencies
Stage100%91%
High-impact designation0%88%
Topic area0%83%
AI classification0%82%
Problem100%84%
Benefits0%82%
Outputs0%79%
Sourcing0%44%
Start date100%39%
ATO0%43%
PII0%42%
Custom code0%47%

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 17 records.

RecordAgency IDAgencyUse caseStage
R00877NSFServiceNow GenAI "Now Assist"Deployed
R010253NSFMicrosoft 365 (M365) AI Builder pre-built Generative Pre-trained Transformer (GPT) for SummarizationDeployed
R00888NSFBudget Area Topic Classification ToolPre-deployment
R00899NSFAI voice overPilot
R009010NSFAdobe PhotoshopPre-deployment
R009119NSFResubmit CheckerPre-deployment
R009222NSFAmazon Web Services(AWS) Assisted Software Development (DIS AI Assisted Development)Pre-deployment
R009324NSFMine Potential Reviewer's areas of expertisePre-deployment
R009425NSFUse AI to populate reviewer "areas of expertise" and state of potential Regional Engines submitters (members of organizations)Pre-deployment
R009526NSFEnhancing Technology, Innovation and Partnerships (TIP) Awards: Efficient Tagging for the 10 Key Technology Areas (KTAs)Pre-deployment
R009635NSFOpen-source topic identification for the Public Engagement with Science Initiative data analysis.Pre-deployment
R009738NSFHand-written text extraction using Textract for the Public Engagement with Science InitiativePilot
R009848NSFNSF AI-Ready Research Performance Progress Reports (RPPR) DataPre-deployment
R009949NSFTechnology, Innovation and Partnerships (TIP) Microsoft (MS) Copilot PilotPilot
R010051NSFA document summarizer via Natural Language ProcessingPre-deployment
R010152NSFDocument similarity analysis via Natural Language ProcessingPre-deployment
R010356NSFComparison of proposal similarities at different levels of National Science Foundation (NSF) organizationPilot

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory