732nd AMS leverages artificial intelligence to enhance Arctic TTX > Air Force > Article Display
732nd AMS leverages artificial intelligence to enhance Arctic TTX > Air Force > Article Display
Publish Date: 2026-06-04 08:07:00
Source Domain: www.af.mil
JOINT BASE ELMENDORF-RICHARDSON, Alaska (AFNS) —
The 732nd Air Mobility Squadron recently participated in Exercise Arctic Bridge, a proof-of-concept tabletop exercise originally developed by the 735th AMS.
The exercise was further tailored using artificial intelligence technology to reflect the 732nd AMS’s unique Arctic operating environment.
The tabletop exercise was designed as a logistics-focused training event at the tactical level, aimed at identifying potential limiting factors that could arise during real-world operations while increasing understanding among Airmen and junior noncommissioned officers.
The 732nd AMS utilized Gemini through GenAI, an AI platform released by the Department of War in December 2025, that was built to provide a secure, department-wide generative AI ecosystem.
“We need to prepare for an uptick in missions and for the ramp to be inundated with aircraft,” said Lt. Col. Joseph Henn, 732nd AMS commander. “My goal is to develop and promote creative thinking and have our team come up with solutions outside the box on how we would respond to a surge of this magnitude and how we can leverage relationships across the base to help close potential resource and manpower gaps.”
Leveraging its capability to securely ingest controlled unclassified information, the 732nd AMS was able to create a tailored and factual list of scenarios that were unique to the Arctic location.
Exercise Arctic Bridge placed participants in a simulated 179-day surge scenario averaging up to 70 aircraft movements per day. The exercise tested the squadron’s operational capacity, identified potential resource shortfalls and highlighted areas where mission strain points could emerge during sustained contingency operations.
Throughout the exercise, participants adapted in real time while navigating simulated common and…
