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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Aerospace Engineers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Aerospace engineering is labeled as "Mostly Resilient" because AI tools are enhancing, not replacing, the work that engineers do. While AI helps speed up design and testing processes, human experts still lead critical tasks like managing teams and ensuring safety standards.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Aerospace engineering is labeled as "Mostly Resilient" because AI tools are enhancing, not replacing, the work that engineers do. While AI helps speed up design and testing processes, human experts still lead critical tasks like managing teams and ensuring safety standards.
Read full analysisAnalysis of Current AI Resilience
Aerospace Engineers
Updated Quarterly • Last Update: 2/17/2026

Today’s aerospace engineers use AI mostly to help them work faster, not to replace their jobs. For example, generative design software can automatically create and test many aircraft-part designs, letting engineers iterate more quickly [1] [2]. Airbus Atlantic, for instance, uses AI-driven optimization to design aircraft structures [2].
AI also speeds up simulations: one industry report notes AI tools can run complex physics models up to a thousand times faster than old methods [3]. This lets engineers focus on creative problem-solving while the computer crunches numbers. Even writing reports or manuals can get a boost: experts say generative tools can automate much of the routine documentation, cutting thousands of labor hours [1].
However, people still lead the work. Tasks like managing teams, keeping logs, and checking final safety details remain mostly human. Some record-keeping is done with standard software (not “smart” AI), and setting safety standards or judging designs is left to engineers.
In short, AI builds drafts and runs tests, but human experts review results and make final decisions [1] [3].

Big aerospace companies are already trying these tools. Airbus, Boeing, GE Aviation and others report dozens of AI projects in design, manufacturing, or maintenance [2] [2]. They find real benefits – saving time, cutting costs, and improving safety and decision-making on complex designs [2] [3].
For example, engineers using AI-powered simulation can free up time for high-level thinking [3].
Still, adoption is cautious. Aerospace is safety-critical and highly regulated, so new AI methods must be tested carefully. AI software can also be expensive to build or buy, and companies weigh this against the salary costs of skilled engineers.
On the positive side, if skilled engineers are hard to hire, AI tools become more attractive over time. In short, most companies are slowly adding AI into their work. The upfront costs and strict safety checks mean change isn’t instant, but many firms believe smarter tools will help their engineers innovate safely and faster [2] [2].

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They design and build airplanes, rockets, and satellites, ensuring they work safely and efficiently for travel and exploration in the sky and space.
Median Wage
$134,830
Jobs (2024)
71,600
Growth (2024-34)
+6.1%
Annual Openings
4,500
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products.
Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.
Plan or coordinate activities concerned with investigating and resolving customers' reports of technical problems with aircraft or aerospace vehicles.
Evaluate and approve selection of vendors by studying past performance or new advertisements.
Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.
Design or engineer filtration systems that reduce harmful emissions.
Evaluate biofuel performance specifications to determine feasibility for aerospace applications.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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