AI exposure by occupation, O*NET 53-6051.01

Will AI replace Aviation Inspectors?

Aviation Inspectors: AI can already handle 3 of 13 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 13 tasks O*NET 30.3 lists for Aviation Inspectors, from most to least exposed. 3 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Inspect new, repaired, or modified aircraft to identify damage or defects and to assess airworthiness and conformance to standards, using checklists, hand tools, and test instruments. 65 Estimated Standard 4.6
Recommend replacement, repair, or modification of aircraft equipment. 60 Estimated Frontier 4.2
Recommend changes in rules, policies, standards, and regulations, based on knowledge of operating conditions, aircraft improvements, and other factors. 60 Estimated Frontier 3.3
Analyze training programs and conduct oral and written examinations to ensure the competency of persons operating, installing, and repairing aircraft equipment. 35 Estimated Efficient 4.0
Inspect work of aircraft mechanics performing maintenance, modification, or repair and overhaul of aircraft and aircraft mechanical systems to ensure adherence to standards and procedures. 20 Estimated Efficient 4.7
Prepare and maintain detailed repair, inspection, investigation, and certification records and reports. 20 Estimated Efficient 4.5
Examine landing gear, tires, and exteriors of fuselage, wings, and engines for evidence of damage or corrosion and the need for repairs. 20 Estimated Efficient 4.4
Investigate air accidents and complaints to determine causes. 15 Estimated No tier 4.7
Approve or deny issuance of certificates of airworthiness. 15 Estimated No tier 4.6
Start aircraft and observe gauges, meters, and other instruments to detect evidence of malfunctions. 15 Estimated No tier 4.2
Examine aircraft access plates and doors for security. 15 Estimated No tier 4.1
Conduct flight test programs to test equipment, instruments, and systems under a variety of conditions, using both manual and automatic controls. 15 Estimated No tier 4.0
Examine maintenance records and flight logs to determine if service and maintenance checks and overhauls were performed at prescribed intervals. 10 Estimated No tier 4.6

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 13 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 13 of 13. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 53% of the role's importance-weighted task work. 53% of the work is something AI can address at some tier, and 47% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
24,500
Median annual wage
$92,100
Middle half of earners
$58,780 to $108,890
Projected change, 2024 to 2034
+1.7%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Aviation Inspectors and AI

Will AI replace Aviation Inspectors?

AI already handles 3 of the 13 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 27 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +1.7% from 2024 to 2034.

What is the AI exposure of Aviation Inspectors?

27 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 13 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 13 are estimated from each task's O*NET work activity.

Which Aviation Inspectors tasks can AI already do?

The tasks with the highest exposure are: Inspect new, repaired, or modified aircraft to identify damage or defects and to assess airworthiness and conformance to standards, using checklists, hand tools, and test instruments; Recommend replacement, repair, or modification of aircraft equipment; Recommend changes in rules, policies, standards, and regulations, based on knowledge of operating conditions, aircraft improvements, and other factors. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 53% of the role's importance-weighted task work, and 47% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Aviation Inspectors, and what do they earn?

24,500 people in the United States, with a median annual wage of $92,100 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.7% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Aviation Inspectors. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/aviation-inspectors

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