Highly Resilient
Last Update: 7/31/2026
AI Resilience Score for Weapons Supervisors:
87.6%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
N/A
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
N/A
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Very few data sources cover this career, or the available sources disagree significantly. Treat this score as a rough estimate.
Contributing sources
AI Resilience Report forFirst-Line Supervisors of Weapons Specialists/Crew Members
N/A median salary•N/A annual openings•SOC Code: 55-2012.00
First-Line Supervisors of Weapons Specialists/Crew Members are much more resilient to AI impacts than most occupations, according to our analysis of 1 source.
This career is labeled "Highly Resilient" because the most important parts of the job, including making life-or-death decisions, enforcing safety, and leading people under extreme stress, are things that military rules and ethics require a human to own. The Pentagon has made it very clear that a person, not an AI, must stay in control of lethal force, which means no algorithm is going to replace the supervisor who calls the shots and takes responsibility for a crew.
Learn more about how you can thrive in this position
This role is highly resilient
This career is labeled "Highly Resilient" because the most important parts of the job, including making life-or-death decisions, enforcing safety, and leading people under extreme stress, are things that military rules and ethics require a human to own. The Pentagon has made it very clear that a person, not an AI, must stay in control of lethal force, which means no algorithm is going to replace the supervisor who calls the shots and takes responsibility for a crew.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Weapons Supervisors
Updated Quarterly

How is AI changing Weapons Supervisors jobs?
Right now, AI in this career is mostly being used to augment — not replace — first-line supervisors who lead weapons crews. The clearest example is training: the U.S. Marine Corps just awarded a $5.1 million contract to build an AI-driven Crew Gunnery Trainer [1] for the Amphibious Combat Vehicle, where "agentic, multi-modal AI" creates thinking opposing forces that adapt to crew decisions instead of following scripts. Industry coverage notes that AI is being put "in the loop" of military simulators [2] so that drills feel more like real peer combat.
Outside the simulator, an NCO Journal article argues that AI is reshaping NCO leadership because supervisors now have to lead "teams that integrate human Soldiers and autonomous systems" [3] like robotic dogs and AI-guided drones. Lethal decisions, however, are still kept under human control — the Brennan Center reports the Pentagon's pushback when Anthropic asked the military not to use Claude in weapons that "identify and fire on targets without human input" [4] shows how sensitive autonomy on the trigger remains.
Sources

How fast is AI adoption growing for Weapons Supervisors?
Adoption is accelerating fast on the training and decision-support side. Just this week, the Marine Corps ordered every Marine to finish a basic AI course by year's end [5], and AUSA argues the Army must adopt more flexible procurement so AI tools can reach units faster [6]. Big budgets help: the DoD has poured at least $75 billion into AI programs since 2016 [4].
But adoption is slower for the core supervisor job — judgment calls, safety enforcement, and discipline — because of ethical rules, the need for human accountability on lethal force, and the reality that many AI tools depend on connectivity that doesn't exist in a contested fight. The good news for young people considering this path: the supervisor's human skills — coaching, ethical judgment, calm leadership under stress, and bridging Soldiers with new tech — are exactly what the services say they need more of, not less.
Sources

Will AI replace Weapons Supervisors?
No. We don't think AI will replace First-Line Supervisors of Weapons Specialists/Crew Members, but the job is already changing in real and important ways.
AI is moving fast on the training and decision-support side of this work. The Marine Corps recently awarded a contract to build an AI-driven simulator that creates adaptive opposing forces for crew gunnery drills [1], and military coverage notes AI is being put "in the loop" of combat training so exercises feel more realistic [2]. The DoD has poured serious investment into these tools, and the Marine Corps now requires every Marine to complete a basic AI course [5]. Supervisors in this field are already leading teams that include robotic systems and AI-guided platforms alongside human crew members [3].
What stays human is the heart of the job: ethical judgment, accountability for lethal decisions, coaching under stress, and keeping a crew mission-ready when connectivity fails. The Pentagon has been clear that humans must remain in control of targeting decisions [4]. Those are not tasks you can hand to an algorithm. That is exactly why we gave this career an 87.6% AI Resilience Score. Young people considering this path should lean into the leadership and judgment skills the military says it needs most, because those are what AI cannot replicate.
Sources

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Latest AI news for Weapons Supervisors
These articles highlight the strong AI resilience of First-Line Supervisors of Weapons Specialists/Crew Members, with a resilience score of 76.3% and an average wage of $105,980. They emphasize that while AI will impact military roles, this position faces low replacement risk, allowing supervisors to focus on strategic decision-making and team dynamics. For instance, "The Profession of Arms in an AI-Enabled World" discusses how AI can enhance operational efficiency, which directly benefits supervisors in optimizing crew performance. This presents a promising landscape for future career growth in an evolving tech-driven military environment.
Will AI Replace Other Jobs? 2026 Risk Analysis - ReplacedByAI
www.replacedbai.com • 7/20/2026
First -Line Supervisors of Weapons Specialists/Crew Members … the average AI replacement risk in other is 17/100. 0 jobs face high risk, while 19 jobs have low ...
The Profession of Arms in an AI-Enabled World
researchcentre.army.gov.au • 7/20/2026
This article explores how artificial intelligence (AI) is poised to reshape multiple aspects of military practice—tempo, teaming, and decision cycles—and how ... Read more
AI's Impact on the Army Officer Corps, PTB Preview, and a ...
scsp222.substack.com • 7/20/2026
Estimated impacts for AI's impact on the workload of each Army MOS range from 25% to 64% across the individual MOSs - i.e. between 25% and 64% ... Read more
How the Air Force is experimenting with AI-enabled tech for ...
defensescoop.com • 7/20/2026
Mar 13, 2025 — “The emergence of artificial intelligence in warfighting applications potentially gives battle managers the ability to focus on the most salient ... Read more
The Most AI-Resilient Jobs 2026
www.airesilience.org • 7/20/2026
First-Line Supervisors of Weapons Specialists/Crew Members Highly Resilient. AI Resilience: 76.3% Wage: $105,980 Annual Openings: 10,900
More Career Info
Career: First-Line Supervisors of Weapons Specialists/Crew Members
They oversee weapons teams, making sure everyone follows safety rules and performs their tasks correctly during training and missions.
