Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

55.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

Aerospace Engineers

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.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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Analysis
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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 analysis

Contributing 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

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Changing fast iconChanging fast

19.9%

19.9%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

36.7%

36.7%

Anthropic's Observed Exposure

AI Resilience

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Evolving iconEvolving

56.9%

56.9%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

65.5%

65.5%

Althoff & Reichardt

Economic Growth

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Stable iconStable

94.3%

94.3%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.1%

Growth Percentile:

81.4%

Annual Openings:

4,500

Annual Openings Pct:

37.4%

Analysis of Current AI Resilience

Aerospace Engineers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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More Career Info

Career: Aerospace Engineers

Parent Careers

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.

2

80% ResilienceCore Task

Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products.

3

75% ResilienceCore Task

Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.

4

75% ResilienceCore Task

Maintain records of performance reports for future reference.

5

75% ResilienceSupplemental

Direct aerospace research and development programs.

6

70% ResilienceCore Task

Plan or coordinate activities concerned with investigating and resolving customers' reports of technical problems with aircraft or aerospace vehicles.

7

70% ResilienceSupplemental

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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