The 3rd Mobile Brigade Combat Team of the 101st Airborne division has integrated large language models (LLMs) into its staff operations over the last year to accelerate planning and situational awareness. Col. Ryan Bell, the brigade commander, reported that while these tools effectively process massive data volumes, they possess critical limitations in tactical planning. Specifically, the brigade found AI unsuitable for course of action development because the models struggle to comprehend three-dimensional spatial environments, which necessitates human expertise in the art of war fighting.

Despite these limitations, the unit successfully utilized AI to accelerate administrative and operational processes during an April rotation at the Joint Readiness Training Center at Fort Polk, La. By automating mission analysis and orders development, the brigade reduced the timeline for issuing warning orders to under 30 minutes. In defensive scenarios, battalions were able to finalize planning 72 hours ahead of schedule, providing extra time for rehearsal and obstacle refinement. This efficiency helped the brigade maintain a defensive position against simulated chemical attacks and robotic breaches by the opposing force known as Geronimo.

The integration of AI significantly bolstered the unit's operational tempo. During ten days of simulation, the brigade's intelligence section used AI to process more than 25,000 spot reports generated by drone sensors. According to Col. Bell, these automated capabilities allowed the brigade to sense, orient, and strike faster than the enemy, enabling the staff to plan and sustain high-tempo operations effectively.

The 3rd Mobile Brigade Combat Team of the 101st Airborne division has integrated large language models (LLMs) into its staff operations over the last year to accelerate planning and situational awareness. Col. Ryan Bell, the brigade commander, reported that while these tools effectively process massive data volumes, they possess critical limitations in tactical planning. Specifically, the brigade found AI unsuitable for course of action development because the models struggle to comprehend three-dimensional spatial environments, which necessitates human expertise in the art of war fighting.

Despite these limitations, the unit successfully utilized AI to accelerate administrative and operational processes during an April rotation at the Joint Readiness Training Center at Fort Polk, La. By automating mission analysis and orders development, the brigade reduced the timeline for issuing warning orders to under 30 minutes. In defensive scenarios, battalions were able to finalize planning 72 hours ahead of schedule, providing extra time for rehearsal and obstacle refinement. This efficiency helped the brigade maintain a defensive position against simulated chemical attacks and robotic breaches by the opposing force known as Geronimo.

The integration of AI significantly bolstered the unit's operational tempo. During ten days of simulation, the brigade's intelligence section used AI to process more than 25,000 spot reports generated by drone sensors. According to Col. Bell, these automated capabilities allowed the brigade to sense, orient, and strike faster than the enemy, enabling the staff to plan and sustain high-tempo operations effectively.