Spc. Anthony Tran, assigned to Charlie Battery, 2nd Battalion, 77th Field Artillery Regiment, Division Artillery, 4th Infantry Division, inspects the new fire control system for the M777 howitzer during Ivy Sting 1 on Fort Carson, Colo., Sept. 16, 2025.
US Army soldier inspects the new fire control system for the M777 howitzer during Ivy Sting 1. Photo: Pvt. Jacob Cruz/US Army

The US Army’s Next Generation Command and Control (NGC2) prototype is putting a new capability powered by artificial intelligence (AI) to the test.

During the 4th Infantry Division’s (4ID) Ivy Sting 2 exercise, the service trained an AI-aided target recognition system to spot hulks, or old vehicles used as targets, Breaking Defense reported

The goal: teach the AI to identify a tank and automatically trigger a fire mission, shortening the “sensor-to-shooter” loop. That speed could give US forces a decisive edge in multi-domain operations, where milliseconds matter.

For now, the system can identify a single target, but the next step is teaching it to distinguish between multiple objects on the battlefield. 

According to 4ID Commander Maj. Gen. Patrick Ellis, much of the effort focuses on refining and training models so they perform reliably in complex environments. 

The system still relies on human oversight. When the AI flags a potential target, a human operator reviews the result before action is taken. 

Ellis said the army sees strong potential in the technology and is working closely with industry partners to improve the algorithms and expand their capabilities.

Brig. Gen. Brendan Raymond, Deputy Commanding General-Maneuver for the 4th Infantry Division, fires an M777 howitzer using the new Artillery Execution Suite, a key component of the Next Generation Command and Control system, during training exercise Ivy Sting 1 on Sept. 17, 2025, at Fort Carson, Colorado.
US Army soldier fires an M777 howitzer using the new Artillery Execution Suite, a key component of the Next Generation Command and Control system (NGC2) during the Ivy Sting 1 exercise. Photo: Pfc. Aysia Hightree/4ID Public Affairs Office

Ivy Sting Series 

The 4ID is leading the army’s effort to test and develop NGC2 through a series of division-level training experiments known as Ivy Sting and Ivy Mass.

Each iteration adds more complexity and equipment. 

The first Ivy Sting exercise began in September 2025, when an Artillery Execution Suite — a new fire control software — was integrated into the NGC2 ecosystem and used in a live-fire test. 

In Ivy Sting 2, the army is testing how well the NGC2 prototype performs over a wider area, setting up six C2 nodes with edge nodes to measure data flow and balance computing power with communications.

Compared to the first iteration, which featured a single gun, this exercise expanded to include three. 

Ivy Sting 3 is set to add eight more nodes, a battery, and test airspace deconfliction.

These experiments will culminate in the Project Convergence Capstone 6 event by the summer of 2026, where the 4ID will operate the NGC2 in place of legacy C2 systems. 

AI is rapidly reshaping the battlefield — and that includes how militaries manage and protect classified data. Photo: US Army
AI is rapidly reshaping the battlefield — and that includes how militaries manage and protect classified data. Photo: US Army

Better and Faster Decision-Making

The NGC2 is the US Army’s contribution to the Pentagon’s broader Joint All-Domain Command and Control (JADC2) vision. 

Meant to support warfighters in making better and faster decision-making, it is an ecosystem linking soldiers, vehicles, aircraft, and command centers across all domains, leveraging AI and modern technology.

Beyond improving battlefield coordination, the system is also enhancing cybersecurity and data management.

NGC2 executive lead Joseph Welch said the army can now test and approve new technologies in days instead of nearly a year, while unifying battlefield and enterprise data into a single system for faster, more secure information sharing.

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