Construction Managers
ManagementAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.119
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.34
0.09Range of values carried here0.70Group-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.
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 18 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Interpret and explain plans and contract terms to representatives of the owner or developer, including administrative staff, workers, or clients.11-9021 | 0.013734.3 | 0.004018.9 |
Confer with supervisory personnel, owners, contractors, or design professionals to discuss and resolve matters, such as work procedures, complaints, or construction problems.11-9021 | 0.013233.0 | 0.006731.6 |
Plan, organize, or direct activities concerned with the construction or maintenance of structures, facilities, or systems.11-9021 | 0.005313.3 | 0.003617.0 |
Prepare contracts or negotiate revisions to contractual agreements with architects, consultants, clients, suppliers, or subcontractors.11-9021 | 0.00369.0 | —0 |
Study job specifications to determine appropriate construction methods.11-9021 | 0.00256.3 | 0.004621.7 |
Develop or implement quality control programs.11-9021 | 0.00174.3 | —0 |
Determine labor requirements for dispatching workers to construction sites. | —0 | 0.002310.8 |
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.
| Task | βE1 + 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page