Techniciens et Mécaniciens Automobiles

Construction, Maintenance et Réparation

Exposition à l'IA

  • Source des données: BLSPublié: 2026-08

    Modérée· relative

    FaibleQuatre bandes relativesTrès élevée

    Valeur 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

    Jeu de données source (téléchargement XLSX)

  • Source des données: AnthropicPublié: 2026-03

    0.000

    0.000Étendue des valeurs présentées ici0.745
    Échelle, base et source

    Indice d'exposition observée, 0–1 tel que publié

    Rapporté aux tâches O*NET

    Jeu de données source

  • Source des données: ILOPublié: 2025

    0.18

    0.09Étendue des valeurs présentées ici0.70

    Valeur par groupe professionnel

    Échelle, base et source

    Indice d'exposition à l'IA générative, 0–1 tel que publié

    Groupe de base CITP-08 — tous les métiers partageant le code reçoivent cette valeur

    Calculé par ce site, non publié par l'OIT : sur les 1 012 professions que ce site relie au jeu de données de l'OIT, 90% atteignent ou dépassent cette valeur.

    Jeu de données source

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.

Task-level exposure

Tâches exposées uniquement

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.

TaskβE1 + 0.5 × E2
Plan work procedures, using charts, technical manuals, and experience.

O*NET Task ID 23535

1.0
Inspect vehicles for damage and record findings so that necessary repairs can be made.

O*NET Task ID 23523

0.5
Estimate costs of vehicle repair.

O*NET Task ID 23526

0.5
Conduct visual inspections of compressed natural gas fuel systems to identify cracks, gouges, abrasions, discoloration, broken fibers, loose brackets, damaged gaskets, or other problems.

O*NET Task ID 23548

0.5
Test drive vehicles and test components and systems, using equipment such as infrared engine analyzers, compression gauges, and computerized diagnostic devices.

O*NET Task ID 23522

0.0
Test and adjust repaired systems to meet manufacturers' performance specifications.

O*NET Task ID 23524

0.0
Repair, reline, replace, and adjust brakes.

O*NET Task ID 23525

0.0
Review work orders and discuss work with supervisors.

O*NET Task ID 23527

0.0
Troubleshoot fuel, ignition, and emissions control systems, using electronic testing equipment.

O*NET Task ID 23528

0.0
Confer with customers to obtain descriptions of vehicle problems and to discuss work to be performed and future repair requirements.

O*NET Task ID 23529

0.0
Align vehicles' front ends.

O*NET Task ID 23530

0.0
Test electronic computer components in automobiles to ensure proper operation.

O*NET Task ID 23531

0.0
Tear down, repair, and rebuild faulty assemblies, such as power systems, steering systems, and linkages.

O*NET Task ID 23532

0.0
Perform routine and scheduled maintenance services, such as oil changes, lubrications, and tune-ups.

O*NET Task ID 23533

0.0
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.

O*NET Task ID 23534

0.0
Maintain cleanliness of work area.

O*NET Task ID 23536

0.0
Align wheels, axles, frames, torsion bars, and steering mechanisms of automobiles, using special alignment equipment and wheel-balancing machines.

O*NET Task ID 23537

0.0
Tune automobile engines to ensure proper and efficient functioning.

O*NET Task ID 23538

0.0
Repair, replace, or adjust defective fuel injectors, carburetor parts, and gasoline filters.

O*NET Task ID 23539

0.0
Repair and service air conditioning, heating, engine cooling, and electrical systems.

O*NET Task ID 23540

0.0
Disassemble units and inspect parts for wear, using micrometers, calipers, and gauges.

O*NET Task ID 23541

0.0
Change spark plugs, fuel filters, air filters, and batteries in hybrid electric vehicles.

O*NET Task ID 23542

0.0
Overhaul or replace carburetors, blowers, generators, distributors, starters, and pumps.

O*NET Task ID 23543

0.0
Repair or replace parts such as pistons, rods, gears, valves, and bearings.

O*NET Task ID 23544

0.0
Rewire ignition systems, lights, and instrument panels.

O*NET Task ID 23545

0.0
Install, adjust, or repair hydraulic or electromagnetic automatic lift mechanisms used to raise and lower automobile windows, seats, and tops.

O*NET Task ID 23546

0.0
Rebuild parts, such as crankshafts and cylinder blocks.

O*NET Task ID 23547

0.0
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.

O*NET Task ID 23549

0.0
Repair or rebuild transmissions.

O*NET Task ID 23550

0.0
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.

O*NET Task ID 23551

0.0

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®, Eloundou et al. (2023): see full notices on the Credits page

Informations professionnelles