Moderate AI Risk

    Will AI Replace Aircraft Launch and Recovery Specialists?

    Aircraft Launch and Recovery Specialists face a 50.7% AI exposure score with a 15% displacement probability. Core tasks in coordination, public Safety and Security, and problem Sensitivity are increasingly automatable, though gross Body Coordination and repairing provide partial protection.

    O*NET Code: 55-3012.00 · Data from O*NET & BLS · Updated March 2026
    AI Exposure Score
    50.7
    out of 100
    Displacement Prob.
    15%
    low displacement
    Augmentation
    17%
    AI assists, not replaces
    Confidence
    53%
    analysis confidence
    AI Exposure ScoreA 0–100 scale measuring the overall vulnerability of this role's required skills, knowledge, and abilities.
    Displacement Prob.The estimated likelihood that AI could fully automate and replace the core functions of this occupation.
    AugmentationThe probability that AI will serve as a supportive tool to enhance the worker's productivity rather than replace them.
    ConfidenceThe statistical reliability of these predictions, based on how closely the role's skills map to direct AI benchmarks.
    0 — Safe25 — Low50 — Moderate75 — High100 — Critical

    This occupation scores above the national average of 48/100 by 2.7 points. The primary risk comes from AI's strong performance in management coordination and complex problem solving, representing core functions of this role. The absence of physical presence or social interaction requirements increases overall exposure.

    Skill-Level Analysis

    Which skills are most at risk?

    Each skill in this occupation analyzed against current AI benchmarks. Higher scores = higher AI exposure.

    Coordination
    Adjusting actions in relation to others' actions.
    87.5
    High displacement
    Benchmark: τ-bench v2
    Operations Monitoring
    Watching gauges, dials, or other indicators to make sure a machine is working properly.
    85.8
    Medium displacement
    Benchmark: AA Intelligence + AA Coding (data proxy)
    Problem Sensitivity
    The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing that there is a problem.
    81.3
    High displacement
    Benchmark: AA Intelligence Index
    Monitoring
    Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
    77.1
    Medium displacement
    Benchmark: AA Intelligence + AA Coding (data proxy)
    Selective Attention
    The ability to concentrate on a task over a period of time without being distracted.
    74
    Medium displacement
    Benchmark: AA Intelligence + AA Coding (data proxy)
    Oral Comprehension
    The ability to listen to and understand information and ideas presented through spoken words and sentences.
    70.9
    Medium displacement
    Benchmark: MMLU-Pro
    Depth Perception
    The ability to judge which of several objects is closer or farther away from you, or to judge the distance between you and an object.
    52.8
    Augmentation
    Benchmark: AA Intelligence (visual proxy)
    Operation and Control
    Controlling operations of equipment or systems.
    12.9
    Physical barrier
    Benchmark: Estimated
    Reaction Time
    The ability to quickly respond (with the hand, finger, or foot) to a signal (sound, light, picture) when it appears.
    12.9
    Physical barrier
    Benchmark: Estimated
    Control Precision
    The ability to quickly and repeatedly adjust the controls of a machine or a vehicle to exact positions.
    12.4
    Physical barrier
    Benchmark: Estimated
    Equipment Maintenance
    Performing routine maintenance on equipment and determining when and what kind of maintenance is needed.
    11.5
    Physical barrier
    Benchmark: Estimated
    Repairing
    Repairing machines or systems using the needed tools.
    11
    Physical barrier
    Benchmark: Estimated
    Gross Body Coordination
    The ability to coordinate the movement of your arms, legs, and torso together when the whole body is in motion.
    10.1
    Physical barrier
    Benchmark: Estimated
    What This Means

    The bottom line for Aircraft Launch and Recovery Specialists

    What's most at risk

    The role's most exposed skills, specifically Coordination, Public Safety and Security, Problem Sensitivity, reach up to 87.5/100 on AI exposure. AI systems already match or exceed human performance on τ-bench v2, directly targeting these core competencies.

    Limited natural protection

    This role has no strong physical presence or social interaction requirements, which are the two most reliable barriers to automation. It is predominantly knowledge-based and remote-compatible, which increases overall AI exposure. Workers should proactively build leadership, ethical judgment, and relationship-management capabilities as an active defence against displacement.

    Skills that remain safe

    Gross Body Coordination (10.1/100), Repairing (11/100), Equipment Maintenance (11.5/100) are protected by physical or social barriers AI cannot replicate. Depth Perception also sit in the augmentation zone. Workers who lean into these human-centric capabilities will be well positioned as higher-exposure tasks shift to AI.

    How this compares

    At 50.7/100, Aircraft Launch and Recovery Specialists rank above the national average of 48/100. The role sits among the top 50% most AI-exposed occupations.

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    FAQ

    Common questions about Aircraft Launch and Recovery Specialists and AI

    Will AI completely replace this occupation?

    Replacement is unlikely in the near term. The 15% displacement probability reflects a role where AI assists more than replaces across most dimensions. The greater risk may be workers displaced from higher-exposure roles competing for these positions; therefore, staying sharp on the skills AI can't replicate remains worthwhile.

    When will AI start affecting this job?

    It's already happening. AI tools capable of handling coordination and public Safety and Security are widely deployed in enterprise software today. The question isn't if, but how quickly the remaining positions consolidate. Employment projections for this occupational category reflect continued pressure over the next decade.

    What skills should I develop to stay relevant?

    Your strongest assets are Gross Body Coordination and Repairing, representing the lowest-exposure capabilities in this profile. Double down on them. Beyond that, invest in AI tool fluency: workers who know how to direct, verify, and extend AI outputs will capture the productivity upside rather than compete against it.

    What careers can I switch to with my current skills?

    Use PathScorer to map your specific skills against 923 occupations and identify roles with better AI risk profiles. It takes 2 minutes and is free. Start here.

    How is this AI risk score calculated?

    We analyse each occupation's O*NET skill profile, covering 35+ dimensions across knowledge areas, skills, and abilities, and benchmark each against current AI capabilities (MMLU-Pro for language comprehension, τ-bench v2 for task completion, MATH-500 for mathematical reasoning, LiveCodeBench for coding, and others). Each dimension is weighted by its O*NET importance score for the occupation. Physical presence requirements and social interaction levels from O*NET work context data are also factored in. Scores are updated weekly as new AI benchmarks are published. See the full methodology →

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    Methodology: AI exposure scores are calculated by analyzing O*NET occupational skill profiles against current AI capability benchmarks. Skill importance and level data from O*NET 28.1. Employment and salary data from the Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). AI benchmarks include MMLU-Pro (language comprehension), τ-bench v2 (task completion), SWE-bench (code generation), and others. Physical presence and social interaction factors are derived from O*NET work context data. Scores are updated quarterly as new AI benchmarks are published. See full methodology →
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