RDT&E Project · President's Budget PB2027

ARTIFICIAL INTELLIGENCE/MACHINE LEARNING

Project C2F·PE 0605332A — C2 Data·U.S. Army·BA5
FY2027 Request
$58.5M
◆ New start in FY2027
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Project C2F — ARTIFICIAL INTELLIGENCE/MACHINE LEARNING requests $58.5M in FY2027, 19% of the $306.0M requested for program element 0605332A — a new start, with no prior-year and no current-year money. 1 R-2A activity decomposes the request, 1 new this cycle.

New start

This project requests $58.5M in FY2027 with no prior-year and no current-year funding. There is no incumbent line to compare it with — it did not exist before this President's Budget.

FY2027 Request
$58.5M
President's Budget
Project detail

What project C2F buys

Project C2F / Artificial Intelligence/Machine Learning is established in Fiscal Year (FY) 2027 as part of a new funding structure for the NGC2 investment in modernization of Army C2 systems. This project represents a funding line consolidation and structure change for the NGC2 Data Layer and does not constitute a new start program or effort. Funding for NGC2 Data Layer activities was provided in FY 2026 under PE 0604818A Project EJ6 / Tactical Enhancement, which is realigned under this PE beginning in FY 2027. The C2 Data layer Artificial Intelligence/Machine Learning (AI/ML) decision tools augment operations at the speed and scale required by rapidly synthesizing large volumes of data giving commanders the right information, at the right time, to support the right decision. The C2 Data layer AI/ML tools enable consistent and constant evolution of the NGC2 ecosystem maintaining pace with the accelerated change in the modern digital battlefield. Recognizing patterns and the context behind the data, AI/ML tools reveal connections that might otherwise go unnoticed, leading to missed opportunities that could make the difference between success or failure. The AI/ML toolbox will be enhanced by the inclusion of AI Operations and Services (AIOPS) capabilities that began as multiple Small Business Innovation Research efforts and were realigned to the C2 Data layer as part of the NGC2 structure changes. FY 2027 funding supports the development and integration of AI/ML decision tools in the C2 data layer system optimizing the NGC2 ecosystem.

R-3 lines of work
  • Product Development
Funding trajectory

Project C2F funding, FY2027–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. Projects carry the full five-year plan; the activities inside them stop at the budget year.

255075100058.5FY27REQUEST78.0FY28110.2FY2991.0FY3089.2FY31
Request Outyear (FYDP)
Fiscal YearEstimate TypeAmount ($M)
FY2027Request58.5
FY2028Outyear78.0
FY2029Outyear110.2
FY2030Outyear91.0
FY2031Outyear89.2
Inside the project

1 accomplishment / planned program

The R-2A exhibit — the only level of the budget that describes work that has not happened yet. Activities carry the prior, current and budget year only, no five-year plan. Coverage is partial across the corpus, so count activities, never total them.

Artificial Intelligence/Machine Learning (AI/ML) IntegrationNEW
FY2025 actual
FY2026 enacted
FY2027 request$58.5M

FY2027 planned work Funding will be used to develop and modify use cases to inform and evaluate AI/ML capabilities to determine which will be integrated into the AI/ML decision toolbox that is folded into the C2 data layer system optimizing the NGC2 ecosystem, ensuring AI/ML capabilities are scalable across the Army.

FY2026 to FY2027 change Increase due to project establishment under a new funding structure to support NGC2 Data Layer AI/ML efforts.