Cost Estimators
Business & Financial OperationsAI 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
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.44
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, 28% 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 11 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Consult with clients, vendors, personnel in other departments or construction foremen to discuss and formulate estimates and resolve issues.13-1051 | 0.018986.8 |
Assess cost effectiveness of products, projects or services, tracking actual costs relative to bids as the project develops.13-1051 | 0.002913.2 |
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 |
|---|---|
Analyze blueprints and other documentation to prepare time, cost, materials, and labor estimates.O*NET Task ID 80 | 0.5 |
Assess cost effectiveness of products, projects or services, tracking actual costs relative to bids as the project develops.O*NET Task ID 81 | 0.5 |
Consult with clients, vendors, personnel in other departments, or construction foremen to discuss and formulate estimates and resolve issues.O*NET Task ID 82 | 0.5 |
Confer with engineers, architects, owners, contractors, and subcontractors on changes and adjustments to cost estimates.O*NET Task ID 83 | 0.5 |
Prepare estimates used by management for purposes such as planning, organizing, and scheduling work.O*NET Task ID 84 | 0.5 |
Prepare estimates for use in selecting vendors or subcontractors.O*NET Task ID 85 | 0.5 |
Review material and labor requirements to decide whether it is more cost-effective to produce or purchase components.O*NET Task ID 86 | 0.5 |
Prepare cost and expenditure statements and other necessary documentation at regular intervals for the duration of the project.O*NET Task ID 87 | 0.5 |
Prepare and maintain a directory of suppliers, contractors and subcontractors.O*NET Task ID 88 | 0.5 |
Set up cost monitoring and reporting systems and procedures.O*NET Task ID 89 | 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