Marine Engineers
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
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
0.036
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 18 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions.17-2121 | 0.011134.4 |
Confer with research personnel to clarify or resolve problems and to develop or modify designs.17-2121 | 0.009027.9 |
Analyze data to determine feasibility of product proposals.17-2121 | 0.004614.2 |
Perform monitoring activities to ensure that ships comply with international regulations and standards for life saving equipment and pollution preventatives.17-2121 | 0.004413.8 |
Act as liaisons between ships' captains and shore personnel to ensure that schedules and budgets are maintained, and that ships are operated safely and efficiently.17-2121 | 0.00319.7 |
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 |
|---|---|
Maintain records of engineering department activities, including expense records and details of equipment maintenance and repairs.O*NET Task ID 21902 | 1.0 |
Prepare technical reports for use by engineering, management, or sales personnel.O*NET Task ID 21905 | 1.0 |
Confer with research personnel to clarify or resolve problems and to develop or modify designs.O*NET Task ID 21909 | 1.0 |
Design complete hull and superstructure according to specifications and test data, in conformity with standards of safety, efficiency, and economy.O*NET Task ID 21887 | 0.5 |
Study design proposals and specifications to establish basic characteristics of craft, such as size, weight, speed, propulsion, displacement, and draft.O*NET Task ID 21889 | 0.5 |
Perform monitoring activities to ensure that ships comply with international regulations and standards for life-saving equipment and pollution preventatives.O*NET Task ID 21890 | 0.5 |
Oversee construction and testing of prototype in model basin and develop sectional and waterline curves of hull to establish center of gravity, ideal hull form, and buoyancy and stability data.O*NET Task ID 21891 | 0.5 |
Evaluate performance of craft during dock and sea trials to determine design changes and conformance with national and international standards.O*NET Task ID 21892 | 0.5 |
Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions.O*NET Task ID 21893 | 0.5 |
Design layout of craft interior, including cargo space, passenger compartments, ladder wells, and elevators.O*NET Task ID 21895 | 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