As of July 2026,
Aerospace Engineering and Operations Technologists and Technicians has an AI-exposure score of 56/100
(Elevated exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Aerospace Engineering and Operations Technologists and Technicians
More exposed than 49% of the roles we track. Median pay ~US$82,890. About 900 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Architecture & Engineering roles
What this role usually involves
Operate, install, adjust, and maintain integrated computer/communications systems, consoles, simulators, and other data acquisition, test, and measurement instruments and equipment, which are used to launch, track, position, and evaluate air and space vehicles. May record and interpret test data.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Aerospace Engineering and Operations Technologists and Technicians, SOC 17-3021.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Aerospace Engineering and Operations Technologists and Technicians tasks, by AI exposure
- Record and interpret test data on parts, assemblies, and mechanisms.
- Operate and calibrate computer systems and devices to comply with test requirements and to perform data acquisition and analysis.
- Finish vehicle instrumentation and deinstrumentation.
- Inspect, diagnose, maintain, and operate test setups and equipment to detect malfunctions.
We analyzed all 11 Aerospace Engineering and Operations Technologists and Technicians tasks - 1 automatable, 9 augmentable and 1 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Record and interpret test data on parts, assemblies, and mechanisms.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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