How exposed to AI is a Aerospace Engineer?

Of the 18 tasks O*NET lists for aerospace engineers, 3 could be done in half the time with a chat window today. 2 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
Aeronautical EngineerAerospace EngineerAerospace Stress EngineerAvionics EngineerDesign EngineerFlight Controls EngineerFlight Test EngineerStructural Analysis EngineerSystems EngineerTest Engineer
Reachable today Needs software built first Cannot be sped up
18
tasks rated for this occupation
92%
hold a degree, from a survey of 24
57k
people do this job in the US
3 of 56
least protected in architecture and engineering

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

3
  • Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers
  • Review aerospace engineering designs to determine how to reduce negative environmental impacts
  • Evaluate biofuel performance specifications to determine feasibility for aerospace applications

Only with software built on top

13
  • Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements
  • Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations
  • Plan or coordinate investigation and resolution of customers' reports of technical problems with aircraft or aerospace vehicles
  • Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products
  • Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards
  • Develop design criteria for aeronautical or aerospace products or systems, including testing methods, production costs, quality standards, environmental standards, or completion dates
  • Analyze project requests, proposals, or engineering data to determine feasibility, productibility, cost, or production time of aerospace or aeronautical products
  • Maintain records of performance reports for future reference
  • Diagnose performance problems by reviewing reports or documentation from customers or field engineers or by inspecting malfunctioning or damaged products
  • Direct aerospace research and development programs
  • Research new materials to determine quality or conformance to environmental standards
  • Evaluate and approve selection of vendors by studying past performance or new advertisements
  • Design new or modify existing aerospace systems to reduce polluting emissions, such as nitrogen oxide, carbon monoxide, or smoke emissions

Cannot be sped up

2
  • Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment
  • Design or engineer filtration systems that reduce harmful emissions
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.