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Aerospace Engineers

Aerospace Engineers score 57 out of 100, which is elevated exposure to AI. That ranks #115 of 923 US occupations, where #1 is the most exposed. Of the 18 tasks in this job, AI could speed up 3 on its own and 14 more with extra software built on top of it. In April–May 2026, 6 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

57/ 100
Elevated
Rank
#115of 923 jobs
US workers
67,710BLS, May 2025
Median pay
$134,960a year
In real AI use
6 of 18tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 3 (17%)
  • AI can speed this up with extra software: 14 (78%)
  • Little or no AI speed-up: 1 (6%)
  • Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.AI can speed this up on its own · core task · Seen in real AI use
  • Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers.AI can speed this up on its own · core task · Seen in real AI use
  • Maintain records of performance reports for future reference.AI can speed this up on its own · core task · Seen in real AI use
  • Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations.AI can speed this up with extra software · core task
  • Plan or coordinate investigation and resolution of customers' reports of technical problems with aircraft or aerospace vehicles.AI can speed this up with extra software · core task
  • Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products.AI can speed this up with extra software · core task
  • Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.AI can speed this up with extra software · core task · Seen in real AI use
  • Develop design criteria for aeronautical or aerospace products or systems, including testing methods, production costs, quality standards, environmental standards, or completion dates.AI can speed this up with extra software · core task · Seen in real AI use
  • Analyze project requests, proposals, or engineering data to determine feasibility, productibility, cost, or production time of aerospace or aeronautical products.AI can speed this up with extra software · core task
  • Diagnose performance problems by reviewing reports or documentation from customers or field engineers or by inspecting malfunctioning or damaged products.AI can speed this up with extra software · supplemental task · Seen in real AI use
  • Direct aerospace research and development programs.AI can speed this up with extra software · supplemental task
  • Research new materials to determine quality or conformance to environmental standards.AI can speed this up with extra software · supplemental task
  • Evaluate and approve selection of vendors by studying past performance or new advertisements.AI can speed this up with extra software · supplemental task
  • Review aerospace engineering designs to determine how to reduce negative environmental impacts.AI can speed this up with extra software · supplemental task
  • Design new or modify existing aerospace systems to reduce polluting emissions, such as nitrogen oxide, carbon monoxide, or smoke emissions.AI can speed this up with extra software · supplemental task
  • Design or engineer filtration systems that reduce harmful emissions.AI can speed this up with extra software
  • Evaluate biofuel performance specifications to determine feasibility for aerospace applications.AI can speed this up with extra software
  • Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.Little or no AI speed-up · core task

Questions about aerospace engineers and AI

Will AI replace aerospace engineers?

Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Aerospace Engineers score 57 out of 100 (elevated exposure), #115 of 923 US jobs. AI could speed up 17 of the job's 18 tasks, 3 of them on its own, while 1 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which aerospace engineers tasks can AI do?

The most exposed tasks include "Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements"; "Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers"; "Maintain records of performance reports for future reference".

Which aerospace engineers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment".

Are people already using AI for this work?

Yes. In April–May 2026, 6 of the 18 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as aerospace engineers, and what do they earn?

About 67,710 people in the US, with median pay of $134,960 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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