RDT&E Project · President's Budget PB2027

Autonomy and Artificial Intelligence Test

FY2027 Request
$44.0M
▲ 1.1% vs FY2026
HitchAI read

Project 097 — Autonomy and Artificial Intelligence Test requests $44.0M in FY2027, 1.1% of the $3.83B requested for program element 0603941D8Z, up 1.1% on FY2026. 1 R-2A activity decomposes the request.

MarketUncrewed & Autonomy

Matched on this project's title. A title match, not a curated taxonomy — narrative-only matches are not shown at all rather than shown with a caveat nobody reads. No market size is quoted here: a market spans appropriations far beyond this program element.

FY2027 Request
$44.0M
▲ 1.1% vs FY2026
FY2026 Enacted
$43.5M
▲ 172% vs FY2025
FY2025 Actual
$16.0M
Prior year
Project detail

What project 097 buys

The emergence of Artificial Intelligence (AI) brings a host of revolutionary capabilities that will profoundly influence warfare, and bring special challenges for testers of Artificial Intelligence systems. The Autonomy and Artificial Intelligence Test (AAIT) project addresses current and emerging challenges associated with the test and evaluation (T&E) of unmanned systems, particularly in testing autonomy, artificial intelligence, and machine learning. As such, AAIT is developing test technologies to simulate, stimulate, instrument, measure, and assess an autonomous system’s ability to perceive its environment, process information, adapt to dynamic conditions, make decisions, and effectively act on those decisions in the context of mission execution. AAIT will provide the test technologies to effectively measure performance and characterize risk, thereby increasing warfighter trust in autonomous systems and artificial intelligence tools. This program will improve the Department’s test capabilities and methodologies to address the testing of increasingly autonomous units operating in unstructured, dynamic, battlespace environments. Furthermore, advancements are being made in developing collaborating, system-of-autonomous-systems that will work in concert as a swarm or pack, and in close proximity with humans. New test technologies are needed to stress the collective set of autonomous systems under realistic conditions, predict emergent behavior of autonomous systems, emulate the complex environment, and assess mission performance of these highly coupled and artificially intelligent systems.

Funding trajectory

Project 097 funding, 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. Projects carry the full five-year plan; the activities inside them stop at the budget year.

2550016.0FY25ACTUAL43.5FY26ENACTED44.0FY27REQUEST47.4FY2848.4FY2949.3FY3050.3FY31
Actual Enacted Request Outyear (FYDP)
Fiscal YearEstimate TypeAmount ($M)
FY2025Actual16.0
FY2026Enacted43.5
FY2027Request44.0
FY2028Outyear47.4
FY2029Outyear48.4
FY2030Outyear49.3
FY2031Outyear50.3
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. Each describes FY2027 work in enough detail to have its own page; the rest are shown here in full. Coverage is partial across the corpus, so count activities, never total them.

FY2025 actual$16.0M
FY2026 enacted$43.5M
FY2027 request$44.0M

- Deliver mission scoring framework for specific mission scenarios - Assess mobile experimental infrastructure services - Increase multi-Service AI test and evaluation support to include AI testbeds capable of assessment of commercially developed AI software - Assess and develop distributed command and control (C2) experimentation

Read the FY2027 plan →