
JOB REPORT / 17-2011 · 16 TASKS
Aerospace Engineers.
Can AI do the work of Aerospace Engineers?
Mostly it works alongside you. Here is what shifts, task by task.
YOUR EXPERIENCE MATTERS
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How many tasks do you use AI to assist with at work?
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The parts of your job AI can already do most of:
- Maintain records of performance reports for future reference
- Evaluate biofuel performance specifications to determine feasibility for aerospace…
- Formulate mathematical models or other methods of computer analysis…
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A guided certificate program in AI-assisted Aerospace Engineers work. It covers the 16 AI-affected parts of your job and ends in a capstone a person reviews.
WHAT WE LOOKED AT
Your job, task by task.
16/ 1616 of 16 tasks reviewed
We went through all 16 core tasks in this job, one at a time.
Task by task, from the work Aerospace Engineers actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.
- TASK 01
Maintain records of performance reports for future reference.
AI DOESOrganizes, tags, and summarizes performance reports automatically
YOU DOVerify accuracy and decide which data points matter most
- TASK 02
Evaluate biofuel performance specifications to determine feasibility for aerospace applications.
AI DOESPulls fuel property data, compares specs against standards like ASTM D7566, and summarizes gaps
YOU DOApply engineering judgment to safety-critical decisions and regulatory sign-off
- TASK 03
Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.
AI DOESGenerates starter code, suggests math models, flags errors, and speeds up simulation setup
YOU DOValidate assumptions, own safety tradeoffs, and judge whether the model truly matches real-world physics
- TASK 04
Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.
AI DOESScans reports, highlights spec mismatches, and organizes data against known standards
YOU DOOwn the final call on safety, context, and edge cases that rules alone can't cover
- TASK 05
Analyze project requests, proposals, or engineering data to determine feasibility, productibility, cost, or production time of aerospace or aeronautical products.
AI DOESSummarizes proposals, pulls comparable project data, and drafts initial cost or timeline estimates
YOU DOApply deep engineering judgment to safety, feasibility edge cases, and one-of-a-kind design decisions
- TASK 06
Design or engineer filtration systems that reduce harmful emissions.
AI DOESRuns fluid dynamics simulations, searches material databases, and flags design tradeoffs
YOU DOOwn the final safety calls and test real hardware
- TASK 07
Plan or coordinate investigation and resolution of customers' reports of technical problems with aircraft or aerospace vehicles.
AI DOESSearches failure databases, finds similar past incidents, and drafts investigation plans
YOU DOMake the final call on safety decisions and talk directly with customers and flight crews
- TASK 08
Evaluate and approve selection of vendors by studying past performance or new advertisements.
AI DOESSearches vendor histories, summarizes past performance data, and flags red flags or standout metrics
YOU DOApply engineering judgment and sign off on safety-critical supplier decisions
- TASK 09
Formulate conceptual design of aeronautical or aerospace products or systems to meet customer requirements or conform to environmental regulations.
AI DOESGenerates concept options, summarizes regulations, and runs early trade-off comparisons
YOU DOJudge which design choices are safe, realistic, and truly match what the customer wants
- TASK 10
Design new or modify existing aerospace systems to reduce polluting emissions, such as nitrogen oxide, carbon monoxide, or smoke emissions.
AI DOESRuns combustion simulations, searches technical literature, and flags design options that cut emissions
YOU DOWeigh safety risks, regulatory rules, and real-world performance trade-offs before committing to a design
- TASK 11
Diagnose performance problems by reviewing reports or documentation from customers or field engineers or by inspecting malfunctioning or damaged products.
AI DOESScans reports, spots patterns, and summarizes customer complaints fast
YOU DOApply hands-on inspection and system-level engineering judgment to confirm the real root cause
- TASK 12
Develop design criteria for aeronautical or aerospace products or systems, including testing methods, production costs, quality standards, environmental standards, or completion dates.
AI DOESDrafts criteria templates, summarizes relevant standards (like FAA/NASA specs), and flags cost or schedule conflicts in documents
YOU DOApply engineering experience and safety judgment to decide what standards actually fit your specific system
- TASK 13
Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products.
AI DOESTracks project status, flags schedule conflicts, summarizes team updates, and drafts reports
YOU DOLead the team, make safety calls, and build trust with people
- TASK 14
Direct aerospace research and development programs.
AI DOESDrafts reports, summarizes research findings, and flags schedule risks in project data
YOU DOMake the big calls on priorities, people, and program direction
- TASK 15
Plan or conduct experimental, environmental, operational, or stress tests on models or prototypes of aircraft or aerospace systems or equipment.
AI DOESGenerates test plans, simulates stress models, and analyzes sensor data patterns
YOU DOSet up physical hardware, make safety calls, and interpret real-world anomalies in context
- TASK 16SOURCE-BACKED TASK
Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers.
AI DOESGenerates structured drafts from technical specs and data
YOU DOShape the story for your audience
About this analysis
38% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium
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