Industrial Machinery Mechanics

Construction, Maintenance & Repair

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.024

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.17

    0.09Range of values carried here0.70

    Group-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, 91% score at or above this value.

    Source dataset

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

Exposed tasks only
TaskClaude.aiRaw / share %APIRaw / share %
Enter codes and instructions to program computer-controlled machinery.

49-9041

0.034391.20.0109100.0
Analyze test results, machine error messages, or information obtained from operators to diagnose equipment problems.

49-9041

0.00338.8—0
Not observed on any surface — 13 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Disassemble machinery or equipment to remove parts and make repairs.
—0—0
Repair or replace broken or malfunctioning components of machinery or equipment.
—0—0
Repair or maintain the operating condition of industrial production or processing machinery or equipment.
—0—0
Examine parts for defects, such as breakage or excessive wear.
—0—0
Reassemble equipment after completion of inspections, testing, or repairs.
—0—0
Observe and test the operation of machinery or equipment to diagnose malfunctions, using voltmeters or other testing devices.
—0—0
Operate newly repaired machinery or equipment to verify the adequacy of repairs.
—0—0
Clean, lubricate, or adjust parts, equipment, or machinery.
—0—0
Record repairs and maintenance performed.
—0—0
Study blueprints or manufacturers' manuals to determine correct installation or operation of machinery.
—0—0
Record parts or materials used and order or requisition new parts or materials as necessary.
—0—0
Cut and weld metal to repair broken metal parts, fabricate new parts, or assemble new equipment.
—0—0
Demonstrate equipment functions and features to machine operators.
—0—0

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information