Construction Managers

Management

AI exposure

  • Data source: BLSPublished: 2026-08

    High· 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

    0.119

    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

    0.34

    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, 62% 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

Show 4 hidden tasks

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
Interpret and explain plans and contract terms to representatives of the owner or developer, including administrative staff, workers, or clients.

O*NET Task ID 20336

1.0
Plan, organize, or direct activities concerned with the construction or maintenance of structures, facilities, or systems.

O*NET Task ID 3315

0.5
Determine labor requirements for dispatching workers to construction sites.

O*NET Task ID 3317

0.5
Inspect or review projects to monitor compliance with building and safety codes or other regulations.

O*NET Task ID 3318

0.5
Study job specifications to determine appropriate construction methods.

O*NET Task ID 3323

0.5
Requisition supplies or materials to complete construction projects.

O*NET Task ID 3325

0.5
Prepare and submit budget estimates, progress reports, or cost tracking reports.

O*NET Task ID 3326

0.5
Develop or implement quality control programs.

O*NET Task ID 3327

0.5
Apply green building strategies to reduce energy costs or minimize carbon output or other sources of harm to the environment.

O*NET Task ID 19518

0.5
Develop construction budgets to compare green and non-green construction alternatives, in terms of short-term costs, long-term costs, or environmental impacts.

O*NET Task ID 19519

0.5

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