Refractory Materials Repairers

Construction, Maintenance & Repair

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· 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

    0.000

    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

    0.09

    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, 100% 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

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
Reline or repair ladles and pouring spouts with refractory clay, using trowels.

O*NET Task ID 13819

0.0
Chip slag from linings of ladles or remove linings when beyond repair, using hammers and chisels.

O*NET Task ID 13820

0.0
Mix specified amounts of sand, clay, mortar powder, and water to form refractory clay or mortar, using shovels or mixing machines.

O*NET Task ID 13821

0.0
Measure furnace walls to determine dimensions and cut required number of sheets from plastic block, using saws.

O*NET Task ID 13822

0.0
Tighten locknuts holding refractory stopper assemblies together, spread mortar on jackets to seal sleeve joints, and dry mortar in ovens.

O*NET Task ID 13823

0.0
Dry and bake new linings by placing inverted linings over burners, building fires in ladles, or by using blowtorches.

O*NET Task ID 13824

0.0
Remove worn or damaged plastic block refractory linings of furnaces, using hand tools.

O*NET Task ID 13825

0.0
Fasten stopper heads to rods with metal pins to assemble refractory stoppers used to plug pouring nozzles of steel ladles.

O*NET Task ID 13826

0.0
Climb scaffolding, carrying hoses, and spray surfaces of cupolas with refractory mixtures, using spray equipment.

O*NET Task ID 13827

0.0
Drill holes in furnace walls, bolt overlapping layers of plastic to walls, and hammer surfaces to compress layers into solid sheets.

O*NET Task ID 13828

0.0
Spread mortar on stopper heads and rods, using trowels, and slide brick sleeves over rods to form refractory jackets.

O*NET Task ID 13829

0.0
Dump and tamp clay in molds, using tamping tools.

O*NET Task ID 13830

0.0
Disassemble molds, and cut, chip, and smooth clay structures such as floaters, drawbars, and L-blocks.

O*NET Task ID 13831

0.0
Transfer clay structures to curing ovens, melting tanks, and drawing kilns, using forklifts.

O*NET Task ID 13832

0.0
Install preformed metal scaffolding in interiors of cupolas, using hand tools.

O*NET Task ID 13833

0.0
Install clay structures in melting tanks and drawing kilns to control the flow and temperature of molten glass, using hoists and hand tools.

O*NET Task ID 13834

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

Occupation information