First-Line Supervisors of Weapons Specialists/Crew Members

First-line weapons supervisors lead teams that handle heavy weapons. Right now, there are few examples of fully automated tools doing this job on their own. In fact, O*NET notes that this is a military-specific role and there is no civilian data on it ^[1] – meaning the tasks are unique to soldiers.

Soldiers do use some new machines. For example, Ukrainian troops use remote-controlled ground robots to move supplies in dangerous areas ^[2]. But even the Ukrainian commander said those robots “cannot fully replace people” ^[2].

Similarly, small AI modules help guide attack drones in Ukraine, which makes hits more accurate, but soldiers stress “AI assists the drone operator but does not replace them” ^[3]. A defense article also notes modern tank turrets are trending toward “uncrewed” designs ^[4], but even those systems still rely on humans to supervise them. In short, the technology today usually augments these crews (e.g. helping with targeting or supply), but the core tasks of leading people and making quick judgments are still done by humans ^{[2] [3]}.

Whether AI is adopted quickly depends on several factors. On the plus side, there are reasons to use more AI now. For example, low-cost sensors and software can help a lot.

One report says a simple AI guidance chip for a drone costs only about $50–$100, which is “less than 10%” of the drone’s cost ^[3]. This makes upgrades cheap and attractive. Also, if armies have fewer soldiers or want to keep people safe, they will try robots – Ukraine felt this when it turned to “robots on wheels” because of a soldier shortage ^[2].

Big tech tools are even being used faster now: one news story noted that military forces are starting to use common AI products (like those from Microsoft and OpenAI) in combat ^[2].

On the other hand, many reasons could slow adoption. Weapons crews are specialized, and governments often use custom-built systems rather than off-the-shelf software ^[2]. Developing and testing new systems takes time and money.

There are also legal and ethical concerns: people worry about mistakes in weapons AI. For example, researchers noted that using foreign AIs on the battlefield can have “enormous” implications and even cause unlawful, unethical warfare if things go wrong ^[2]. Companies themselves sometimes limit how their AI can be used in war.

Overall, while new tech can help, these jobs still need trained people. Leaders, trainers, and supervisors bring judgment and teamwork that AI can’t easily copy. Observers report that AI will likely assist human crews rather than replace them ^[3].

In other words, human skills like decision-making, clear thinking, and communication remain very valuable. If you join this field, focusing on leadership and learning to work alongside new tools will keep you in demand.