Automotive Service Technicians and Mechanics
Installation, Maintenance, and Repair Occupations- Code O*NET-SOC
- 49-3023.00
Diagnose, adjust, repair, or overhaul automotive vehicles.
Les intitulés des métiers et les énoncés de tâches sont affichés en anglais, tels que publiés. Les libellés, y compris les types de tâches, sont traduits.
Exposition à l'IA
- Source des données: BLSPublié: 2026-08
Modérée· relative
FaibleQuatre bandes relativesTrès élevéeValeur par groupe professionnel
Échelle, base et source
Quatre bandes relatives (Faible / Modérée / Élevée / Très élevée)
831 métiers détaillés du tableau des projections d'emploi du BLS. La valeur est attribuée par code de la National Employment Matrix (NEM), si bien que les métiers partageant un code NEM reçoivent la même bande
- Source des données: AnthropicPublié: 2026-03
0.000
0.000Étendue des valeurs présentées ici0.745Échelle, base et source
Indice d'exposition observée, 0–1 tel que publié
Rapporté aux tâches O*NET
Publié par profession SOC 2018 ; chaque profession O*NET ayant le même code SOC 2018 reçoit cette valeur
- Source des données: ILOPublié: 2025
0.18
0.09Étendue des valeurs présentées ici0.70Valeur par groupe professionnel
Échelle, base et source
Indice d'exposition à l'IA générative, 0–1 tel que publié
Publié par groupe de base ISCO-08. Relié à ce métier, en tout ou en partie, en appliquant tels que publiés les tableaux de correspondance du U.S. Bureau of Labor Statistics (ISCO-08 vers SOC 2010, SOC 2010 vers SOC 2018)
Quelle est la nature de la valeur publiée par cette source
La catégorie BLS est un rang relatif et non un niveau absolu, et ce n'est pas une mesure de première main : elle regroupe en quatre bandes les rangs centiles du métier dans plusieurs études publiées. Ce n'est ni une prévision d'emploi ou de salaire, ni une probabilité d'adoption, et elle ne distingue pas automatisation et augmentation.
Exposition à l’IA (grille d’OpenAI)
30 tâches évaluées · 4 tâches avec β ≥ 0,5 (13.3%)
β = exposition directe (E1) + 0,5 × exposition lorsque des outils sont disponibles (E2), selon la définition du dépôt source.
- Unité source : tâches O*NET 27.2 → code de métier O*NET 31.0
- Toutes les tâches notées figurent dans la liste des tâches O*NET 31.0.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Version
- gh-main-0471612
- Licence
- MIT License, Copyright (c) 2024 OpenAI
Tâches
Énoncés de tâches de l’O*NET® 31.0 Database, les tâches principales d’abord.
| Tâche | Type | β (OpenAI) |
|---|---|---|
| Test drive vehicles and test components and systems, using equipment such as infrared engine analyzers, compression gauges, and computerized diagnostic devices. | Principale | 0 |
| Inspect vehicles for damage and record findings so that necessary repairs can be made. | Principale | 0,5 |
| Test and adjust repaired systems to meet manufacturers' performance specifications. | Principale | 0 |
| Repair, reline, replace, and adjust brakes. | Principale | 0 |
| Review work orders and discuss work with supervisors. | Principale | 0 |
| Troubleshoot fuel, ignition, and emissions control systems, using electronic testing equipment. | Principale | 0 |
| Confer with customers to obtain descriptions of vehicle problems and to discuss work to be performed and future repair requirements. | Principale | 0 |
| Align vehicles' front ends. | Principale | 0 |
| Test electronic computer components in automobiles to ensure proper operation. | Principale | 0 |
| Tear down, repair, and rebuild faulty assemblies, such as power systems, steering systems, and linkages. | Principale | 0 |
| Perform routine and scheduled maintenance services, such as oil changes, lubrications, and tune-ups. | Principale | 0 |
| Follow checklists to ensure all important parts are examined, including belts, hoses, steering systems, spark plugs, brake and fuel systems, wheel bearings, and other potentially troublesome areas. | Principale | 0 |
| Plan work procedures, using charts, technical manuals, and experience. | Principale | 1 |
| Maintain cleanliness of work area. | Principale | 0 |
| Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines. | Principale | 0 |
| Tune automobile engines to ensure proper and efficient functioning. | Principale | 0 |
| Repair, replace, or adjust defective fuel injectors, carburetor parts, and gasoline filters. | Principale | 0 |
| Repair and service air conditioning, heating, engine cooling, and electrical systems. | Principale | 0 |
| Disassemble units and inspect parts for wear, using micrometers, calipers, and gauges. | Principale | 0 |
| Change spark plugs, fuel filters, air filters, and batteries in hybrid electric vehicles. | Principale | 0 |
| Overhaul or replace carburetors, blowers, generators, distributors, starters, and pumps. | Principale | 0 |
| Repair or replace parts such as pistons, rods, gears, valves, and bearings. | Principale | 0 |
| Rewire ignition systems, lights, and instrument panels. | Principale | 0 |
| Install, adjust, or repair hydraulic or electromagnetic automatic lift mechanisms used to raise and lower automobile windows, seats, and tops. | Principale | 0 |
| Diagnose and replace or repair engine management systems or related sensors for flexible fuel vehicles (FFVs) with ignition timing, fuel rate, alcohol concentration, or air-to-fuel ratio malfunctions. | Principale | 0 |
| Estimate costs of vehicle repair. | Complémentaire | 0,5 |
| Rebuild parts, such as crankshafts and cylinder blocks. | Complémentaire | 0 |
| Conduct visual inspections of compressed natural gas fuel systems to identify cracks, gouges, abrasions, discoloration, broken fibers, loose brackets, damaged gaskets, or other problems. | Complémentaire | 0,5 |
| Repair or rebuild transmissions. | Complémentaire | 0 |
| Retrofit vehicle fuel systems with aftermarket products, such as vapor transfer devices, evaporation control devices, swirlers, lean burn devices, and friction reduction devices, to enhance combustion and fuel efficiency. | Complémentaire | 0 |
Informations professionnelles
Sources et attribution
This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.
Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.
O*NET OnLine: 49-3023.00 Automotive Service Technicians and Mechanics
KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.