Reparadores de Carroceria Automotiva

Construção, Manutenção e Reparo

Exposição à IA

  • Fonte dos dados: BLSPublicado: 2026-08

    Baixo· relativa

    BaixoQuatro faixas relativasMuito alto

    Valor por grupo ocupacional

    Escala, base e fonte

    Quatro faixas relativas (Baixo / Moderado / Alto / Muito alto)

    831 ocupações detalhadas da tabela de projeções de emprego do BLS. O valor é atribuído por código da National Employment Matrix (NEM), pelo que as ocupações que partilham um código NEM recebem a mesma banda

    Conjunto de dados de origem (transferência XLSX)

  • Fonte dos dados: AnthropicPublicado: 2026-03

    0.000

    0.000Intervalo dos valores aqui apresentados0.745
    Escala, base e fonte

    Índice de exposição observada, 0–1 tal como publicado

    Mapeado sobre tarefas O*NET

    Conjunto de dados de origem

  • Fonte dos dados: ILOPublicado: 2025

    0.18

    0.09Intervalo dos valores aqui apresentados0.70

    Valor por grupo ocupacional

    Escala, base e fonte

    Índice de exposição à IA generativa, 0–1 tal como publicado

    Grupo de base CITP-08 — todas as ocupações com o mesmo código recebem este valor

    Calculado por este site, não publicado pela OIT: das 1.012 ocupações que este site liga ao conjunto de dados da OIT, 90% atingem ou superam este valor.

    Conjunto de dados de origem

Que tipo de valor esta fonte publica

A categoria de BLS é uma posição relativa, não um nível absoluto, e também não é uma medição de primeira mão: agrupa em quatro faixas as posições percentis da ocupação em vários estudos publicados. Não é uma previsão de emprego ou de salários, não é uma probabilidade de adoção e não distingue automação de aumento.

Task-level exposure

Apenas tarefas expostas

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.

TaskβE1 + 0.5 × E2
Remove damaged panels, and identify the family and properties of the plastic used on a vehicle.

O*NET Task ID 2945

0.5
Review damage reports, prepare or review repair cost estimates, and plan work to be performed.

O*NET Task ID 2946

0.5
File, grind, sand, and smooth filled or repaired surfaces, using power tools and hand tools.

O*NET Task ID 2933

0.0
Sand body areas to be painted and cover bumpers, windows, and trim with masking tape or paper to protect them from the paint.

O*NET Task ID 2934

0.0
Follow supervisors' instructions as to which parts to restore or replace and how much time the job should take.

O*NET Task ID 2935

0.0
Remove damaged sections of vehicles using metal-cutting guns, air grinders and wrenches, and install replacement parts using wrenches or welding equipment.

O*NET Task ID 2936

0.0
Cut and tape plastic separating film to outside repair areas to avoid damaging surrounding surfaces during repair procedure and remove tape and wash surfaces after repairs are complete.

O*NET Task ID 2937

0.0
Prime and paint repaired surfaces, using paint sprayguns and motorized sanders.

O*NET Task ID 2938

0.0
Mix polyester resins and hardeners to be used in restoring damaged areas.

O*NET Task ID 2940

0.0
Chain or clamp frames and sections to alignment machines that use hydraulic pressure to align damaged components.

O*NET Task ID 2941

0.0
Fill small dents that cannot be worked out with plastic or solder.

O*NET Task ID 2942

0.0
Fit and weld replacement parts into place, using wrenches and welding equipment, and grind down welds to smooth them, using power grinders and other tools.

O*NET Task ID 2943

0.0
Position dolly blocks against surfaces of dented areas and beat opposite surfaces to remove dents, using hammers.

O*NET Task ID 2944

0.0
Remove small pits and dimples in body metal, using pick hammers and punches.

O*NET Task ID 2947

0.0
Remove upholstery, accessories, electrical window-and-seat-operating equipment, and trim to gain access to vehicle bodies and fenders.

O*NET Task ID 2948

0.0
Clean work areas, using air hoses, to remove damaged material and discarded fiberglass strips used in repair procedures.

O*NET Task ID 2949

0.0
Adjust or align headlights, wheels, and brake systems.

O*NET Task ID 2950

0.0
Apply heat to plastic panels, using hot-air welding guns or immersion in hot water, and press the softened panels back into shape by hand.

O*NET Task ID 2951

0.0
Soak fiberglass matting in resin mixtures and apply layers of matting over repair areas to specified thicknesses.

O*NET Task ID 2952

0.0
Cut openings in vehicle bodies for the installation of customized windows, using templates and power shears or chisels.

O*NET Task ID 2953

0.0
Fit and secure windows, vinyl roofs, and metal trim to vehicle bodies, using caulking guns, adhesive brushes, and mallets.

O*NET Task ID 2954

0.0
Read specifications or confer with customers to determine the desired custom modifications for altering the appearance of vehicles.

O*NET Task ID 2955

0.0
Replace damaged glass on vehicles.

O*NET Task ID 2956

0.0
Measure and mark vinyl material and cut material to size for roof installation, using rules, straightedges, and hand shears.

O*NET Task ID 2957

0.0
Inspect repaired vehicles for proper functioning, completion of work, dimensional accuracy, and overall appearance of paint job, and test-drive vehicles to ensure proper alignment and handling.

O*NET Task ID 18580

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

Informação ocupacional