Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They design and build airplanes, rockets, and satellites, ensuring they work safely and efficiently for travel and exploration in the sky and space.
This role is evolving
Aerospace engineering is labeled as "Evolving" because AI is being used to speed up design and testing processes, making engineers' work more efficient. While AI tools help with simulations and creating design drafts, human engineers are still essential for leading teams, ensuring safety, and making final decisions.
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 evolving
Aerospace engineering is labeled as "Evolving" because AI is being used to speed up design and testing processes, making engineers' work more efficient. While AI tools help with simulations and creating design drafts, human engineers are still essential for leading teams, ensuring safety, and making final decisions.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Aerospace Engineers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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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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
Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.
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.
Maintain records of performance reports for future reference.
Direct aerospace research and development programs.
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.
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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