Armored Assault Vehicle Officers

Armored assault vehicle officers mainly do hands-on work in unpredictable environments, so there is very little full automation in use today. Current efforts focus on assistance, not replacement. For example, the U.S. Army’s new ATLAS system uses AI and sensors to help tank crews spot threats faster and even recommend ammunition, but a soldier still manually aims and fires ^{[1] [2]}.

Similarly, France’s Leclerc tank uses an AI “cognitive engine” that highlights potential threats in the crew’s sights, speeding decision-making ^[3]. Fully driverless combat vehicles are not yet fielded – early robotic tank projects still require remote human control during tests ^{[4] [2]}. In short, current AI tools give officers extra “eyes” or analysis, but the officer remains in charge.

We did not find any deployed system where an AI actually drives the vehicle or carries out orders without a human in the loop.

Experts say militaries want smarter tools but move cautiously. Many defense leaders see big benefits: surveys report >80% of leaders are using AI for analyzing sensor data, planning and situational awareness, improving efficiency and cutting costs ^{[5] [5]}. For instance, a BAE Systems study notes armies use AI to reduce manual work and speed up ideas in operations ^[5].

However, combat AI must be trustworthy. Safety, ethics and laws of war mean a human usually stays “in the loop.” Scholars and officials emphasize AI should assist officers without removing their responsibility ^{[6] [7]}. Building and testing reliable AI systems is costly and complex, so change will be gradual.

In practice, armored officers could get more advanced sensors or autopilot features, but armies count on human judgment and strict rules. The result is a balanced outlook: AI can help officers do their jobs (for example, smarter targeting aids), but full takeover by machines is unlikely soon ^{[5] [6]}.