Aerospace Test Engineers
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.075
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.32
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 64% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 12 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Evaluate product data or design from inspections or reports for conformance to engineering principles, customer requirements, environmental regulations, or quality standards.17-2011 | 0.030042.9 | 0.280087.5 |
Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers.17-2011 | 0.030042.9 | 0.01003.1 |
Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.17-2011 | 0.010014.3 | 0.00000.0 |
Diagnose performance problems by reviewing reports or documentation from customers or field engineers or by inspecting malfunctioning or damaged products.17-2011 | 0.00000.0 | 0.03009.4 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Formulate mathematical models or other methods of computer analysis to develop, evaluate, or modify design, according to customer engineering requirements.O*NET Task ID 1339 | 1.0 |
Write technical reports or other documentation, such as handbooks or bulletins, for use by engineering staff, management, or customers.O*NET Task ID 1340 | 1.0 |
Maintain records of performance reports for future reference.O*NET Task ID 1346 | 1.0 |
Direct or coordinate activities of engineering or technical personnel involved in designing, fabricating, modifying, or testing of aircraft or aerospace products.O*NET Task ID 1335 | 0.5 |
Analyze project requests, proposals, or engineering data to determine feasibility, productibility, cost, or production time of aerospace or aeronautical products.O*NET Task ID 1341 | 0.5 |
Evaluate and approve selection of vendors by studying past performance or new advertisements.O*NET Task ID 1344 | 0.5 |
Plan or coordinate investigation and resolution of customers' reports of technical problems with aircraft or aerospace vehicles.O*NET Task ID 1345 | 0.5 |
Design new or modify existing aerospace systems to reduce polluting emissions, such as nitrogen oxide, carbon monoxide, or smoke emissions.O*NET Task ID 19601 | 0.5 |
Design or engineer filtration systems that reduce harmful emissions.O*NET Task ID 19602 | 0.5 |
Evaluate biofuel performance specifications to determine feasibility for aerospace applications.O*NET Task ID 19603 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page