Construction

What's in this cluster

A career cluster is a navigational grouping, not a measured score. The counts below come from the framework's official crosswalk; employment and pay are aggregated from BLS OEWS (national, cross-industry, May 2024) across the occupations in the cluster.

Across occupations with wage data, the middle range (25th–75th percentile of occupation medians) runs $48,710 – $65,170. This describes the cluster, not any one job or person.

Sub-clusters

The framework splits each cluster into sub-clusters — tighter families of related work. The count is the number of occupations the crosswalk places in each.

Largest occupations in this cluster

Occupations in this cluster with the most workers nationally (BLS OEWS, May 2024), each linked to its full profile. Employment and pay describe the occupation, not an individual.

AI exposure across this cluster

Two published studies estimate how exposed each occupation is to today's AI. The OpenAI "GPTs are GPTs" study rates the share of an occupation's tasks a large language model (with tools) could speed up by half or more; averaged across this cluster it is 13% — 4th percentile of the 14 clusters. The independent Felten/Raj/Seamans AI Occupational Exposure index averages -0.87 here.

Computed across the 86 of 93 occupations in this cluster that carry a published exposure score.

Exposure measures where AI could assist tasks — it is not a prediction that these jobs will be automated. High exposure most often means augmentation (faster work), and many high-exposure occupations are also projected to grow.

Where the work sits

The framework anchors each cluster to one or more NAICS industry sectors — the parts of the economy where this work concentrates.

• Construction · NAICS 23

Education programs that lead here

A sample of the 101 CIP 2020 instructional programs the framework crosswalks to this cluster — the fields of study that prepare people for this work.

• 3-D Modeling and Design Technology/Technician
• Agricultural Mechanics and Equipment/Machine Technology/Technician
• Appliance Installation and Repair Technology/Technician
• Architectural Conservation
• Architectural Design
• Architectural Drafting and Architectural CAD/CADD
• Architectural Engineering Technologies/Technicians
• Architectural History and Criticism, General
• Architectural Sciences and Technology, Other
• Architectural Technology/Technician
• Architectural and Building Sciences/Technology
• Architecture
• Blasting/Blaster
• Boilermaking/Boilermaker
• Building Construction Technology/Technician
• Building/Construction Site Management/Manager
• Building/Home/Construction Inspection/Inspector
• Building/Property Maintenance
• Business Administration and Management, General
• Business/Commerce, General
• CAD/CADD Drafting and/or Design Technology/Technician
• Cabinetmaking and Millwork
• Carpentry/Carpenter
• Carpet, Floor, and Tile Worker

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
• Census NAICS 2022 U.S. Census Bureau
• CIP-2020 2020 U.S. National Center for Education Statistics
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
• AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic

Data compiled June 3, 2026. Figures are estimates, not advice.

@misc{singulariki-construction,
  title  = {Construction},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; CIP-2020 2020; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/clusters/construction}
}