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RDT&E Program Element · President's Budget PB2027

(u)undersea Artificial Intel/machine Learning

PE 0304797N·U.S. Navy·Approp. 1319 — RDT&E·BA4 — Advanced Component Development & Prototypes
FY2027 Request
$13.6M
Navy · RDT&E
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U.S. Navy funding falls 54% to a $13.6M request in FY2027 (down from a FY2026 peak), sustained across the five-year plan. In the FY2027 defense authorization, the House funded it in full; the Senate funded it in full; House appropriators funded it in full.

FY2027 Request
$13.6M
▼ 54% vs FY2026
FY2026 Enacted
$29.3M
▲ 2.6% vs FY2025
FY2025 Actual
$28.6M
Prior year

For fiscal year 2027, the U.S. Navy is requesting $13.6M for (u)undersea Artificial Intel/machine Learning under RDT&E program element 0304797N, down 54% from FY2026.

Funding trajectory

Funding profile, FY2025–FY2031

Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure.

25028.6FY25ACTUAL29.3FY26ENACTED13.6FY27REQUEST29.0FY2827.4FY2923.6FY3024.1FY31
Actual Enacted Request Outyear (FYDP)
Fiscal YearEstimate TypeAmount ($M)
FY2025Actual28.6
FY2026Enacted29.3
FY2027Request13.6
FY2028Outyear29.0
FY2029Outyear27.4
FY2030Outyear23.6
FY2031Outyear24.1
Where it sits

Acquisition lifecycle

This program is funded in RDT&E Budget Activity 4 — Advanced Component Development & Prototypes.

Complete
Research
BA 1–2
Complete
Advanced Technology
BA 3
Current
Prototyping
BA 4
Later
Development & Fielding
BA 5–7
Inside the program element

1 project rolls up into PE 0304797N

Projects are the summable leaves — the PE total is their sum, never added to it. Program elements and projects carry the full five-year plan; activities stop at the budget year. This PE moves -54% overall, which can hide much larger swings below.

Project 3255

Decision Support Tools and AI Development

$13.6MFY2027 request ▼ 54%
FY2025 actual$28.6M
FY2026 enacted$29.3M
FY2027 request$13.6M
Product DevelopmentSupportTest and EvaluationManagement Services

Established program is the data processing arm using AI/ML to ultimately support the missions and effects for Navy's undersea warfighting capabilities. The workload includes research, development and testing, as well as operations and maintain lines of effort to include civilian, military, contractor support/manpower and their related costs, and capability development.

Accomplishments / planned programs (R-2A) — prior, current and budget year only
Undersea AI/ML Capability Development▼ 54%
FY2025 actual$28.6M
FY2026 enacted$29.3M
FY2027 request$13.6M

Program will be the data processing arm using AI/ML to ultimately support the missions and effects for Navy's undersea warfighting capabilities. The workload includes research, development and testing, as well as operations and maintaining lines of effort to include civilian, military, and contractor support/manpower and their related…

Read the FY2027 plan →
Congressional action

Congressional marks

Committee marks on the FY2027 request. Adds and cuts are reconciled in conference before they become law.

RequestPresident's Budget
$13.6M
House NDAA (HASC)HASC
$13.6M full · +$0
Senate NDAA (SASC)SASC
$13.6M full · +$0
House Approps (HAC-D)HAC_D
$13.6M full · +$0
unresolved as of 2026-07-27. These are FY2027 authorization marks (NDAA); appropriations and the conference agreement may differ.
Who's building it

Where the FY2027 request goes

Performers named in the R-3 exhibit, resolved into industry, government-lab, and unspecified shares. Budget-justification contract funding, not obligations.

Where FY2027 funding flowsShare$M
Other / unspecified100%13.6
FY2027 request100%13.6
Program detail

Mission & acquisition strategy

New program element (PE) established to align undersea Artificial Intelligence / Machine Learning (AI/ML) capability development and meet OUSD (Intelligence and Security) requirement for Military Intelligence Program (MIP). AI/ML represents an important evolution in computer science and data processing by automating repetitive tasks such as data entry and analysis, mitigating human errors and increasing efficiency and operation productivity. AI/ML is quickly transforming the data gathering and identification process with undersea noise in support of undersea surveillance systems.

N/A

Project 3255 — Decision Support Tools and AI Development
  • Product Development
  • Support
  • Test and Evaluation
  • Management Services
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Answers are generated from the figures on this page — the FY2027 justification exhibits and the marks tracked above — and nothing else is consulted. Confirm any figure against the cited exhibit before you use it externally.

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Questions this page can answer
How does the FY2027 request compare with FY2026, and what does the five-year plan show?What did the FY2027 NDAA committees do to this request?How is the FY2027 request split between industry and government performers?In plain terms, what is this program element for and how is it being acquired?
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This page carries the budget justification and the NDAA marks — nothing else. For what a contractor has actually been obligated, the ledger is at hitchintel.com/vendors; for live solicitations, hitchintel.com/opportunities. Both are member surfaces.

Provenance

Cite this page

Sources
FY2027 Department of the Navy RDT&E Budget Justification · Exhibits R-2 / R-3 · PE 0304797N (President's Budget PB2027) — and FY2027 NDAA committee marks, as tracked 2026-07-27.
Suggested citation
HitchAI, "(u)undersea Artificial Intel/machine Learning (PE 0304797N)," federal budget intelligence, PB2027 vintage. hitchintel.com/programs/0304797N
Machine access
Markdown twin /programs/0304797N.md · MCP mcp.hitchintel.com → budget_get_program_element, budget_get_cong_marks