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Will AI replace Aerospace Engineers?

Perform engineering duties in designing, constructing, and testing aircraft, missiles, and spacecraft. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 17-2011.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
32%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
32%Automatable
Automatable32%
Augmentable37%
Hard to automate31%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Tech
Engineering & Product
Modeled pay midpoint$
$65,300/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.42%
⚙Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.36%
▥Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations.29%
✦System accountability and architecture judgment23%
✦Handling ambiguous requirements and trade-offs19%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in system accountability and architecture judgment.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Aerospace Engineers.
02>AI can help with: Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: System accountability and architecture judgment.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 32% is estimated task exposure—not a 32% chance of losing the job.
What AI can do
Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.LOW MATCH
Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.LOW MATCH
Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations.LOW MATCH
How estimates work →
Your human moat
◆

System accountability and architecture judgment

HIGH MOAT

Combined with handling ambiguous requirements and trade-offs, this keeps a human in the loop.

Strength8.9
Similar-role comparison
RoleRisk
Aerospace Engineers32%
Chemical Engineers31%
Materials Engineers33%
Industrial Engineers31%
i

Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is system accountability and architecture judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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