Gini Loh System Tools

AI Automation Index

Will AI Replace Construction Managers?

Task-level automation exposure for Construction Managers: 25 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

52% weighted task index

25 of 25 tasks scored

Median Salary

$114,990 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

380,360 people hold this job — size, not growth

Projected 2025–35

+9.1% employment change

49,700 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$77,380 – $155,360

Highest medians

New York $155,360
Washington $155,070
Massachusetts $145,010
Alaska $139,190
New Jersey $138,230

Lowest medians

Puerto Rico $77,380
Arkansas $86,310
Virgin Islands $89,950
Wyoming $92,320
West Virginia $95,740

State figures come from the 11-9021 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 52%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 55%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 12%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 40/100 Moderate

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

25 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 46%

12 tasks

Medium exposure (≥ 35%) 35%

9 tasks

Low exposure (below 35%) 19%

4 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

  • New 05/2025 · AI/SME

    Direct how drone technology is used for site inspections and progress monitoring, ensuring accurate and timely project completion.

Constituent Tasks

#3318 · Core · 65% automatable

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

decision support — AI assesses compliance against written standards

Determine operational compliance with regulations or standards.
#3327 · Core · 50% automatable

Develop or implement quality control programs.

text generation — AI drafts evaluation procedures; human adapts to org

Implement organizational process or policy changes. Develop procedures to evaluate organizational activities.
#20332 · Core · 40% automatable

Plan, schedule, or coordinate construction project activities to meet deadlines.

decision support — AI drafts strategies; human owns operational judgment

Develop operating strategies, plans, or procedures. Manage construction activities.
#3326 · Core · 78% automatable

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

data analysis — Reports and budgets drafted; human owns assumptions

Prepare financial documents, reports, or budgets.
#20340 · Core · 30% automatable

Direct and supervise construction or related workers.

interpersonal — Employee supervision is accountability-bearing human work

Supervise employees.
#3317 · Core · 60% automatable

Determine labor requirements for dispatching workers to construction sites.

data analysis — Labor estimates depend on context and human calibration

Estimate labor requirements.
#3314 · Core · 40% automatable

Confer with supervisory personnel, owners, contractors, or design professionals to discuss and resolve matters, such as work procedures, complaints, or construction problems.

decision support — AI drafts specs; human negotiates tradeoffs

Negotiate project specifications.
#20334 · Core · 60% automatable

Prepare contracts or negotiate revisions to contractual agreements with architects, consultants, clients, suppliers, or subcontractors.

text generation — Fill forms from provided information

Prepare forms or applications. Negotiate project specifications.
#3323 · Core · 66% automatable

Study job specifications to determine appropriate construction methods.

visual inspection — Blueprints need spatial reading, human verifies sequence

Review blueprints or other instructions to determine operational methods or sequences.
#3315 · Core · 24% automatable

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

physical manipulation — Facility maintenance direction requires hands-on site oversight

Manage construction activities. Direct facility maintenance or repair activities.
#20339 · Core · 22% automatable

Contract or oversee craft work, such as painting or plumbing.

interpersonal — Managing construction is site leadership and accountability

Manage construction activities.
#20333 · Core · 48% automatable

Investigate damage, accidents, or delays at construction sites to ensure that proper construction procedures are being followed.

decision support — AI assesses compliance against written standards

Investigate industrial or transportation accidents. Determine operational compliance with regulations or standards.
#20336 · Core · 59% automatable

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

text generation — AI drafts policy communications; human approves

Communicate organizational policies and procedures. Communicate organizational information to customers or other stakeholders.
#20335 · Core · 22% automatable

Implement new or modified plans in response to delays, bad weather, or construction site emergencies.

interpersonal — Managing construction is site leadership and accountability

Manage construction activities.
#3325 · Core · 65% automatable

Requisition supplies or materials to complete construction projects.

decision support — Procurement drafting and comparison; human commits funds

Purchase materials, equipment, or other resources.
#20337 · Core · 80% automatable

Apply for and obtain all necessary permits or licenses.

text generation — Fill forms from provided information

Prepare forms or applications.
#19523 · Core · 65% automatable

Perform, or contract others to perform, pre-building assessments, such as conceptual cost estimating, rough order of magnitude estimating, feasibility, or energy efficiency, environmental, and sustainability assessments.

data analysis — Feasibility analysis from data, human validates assumptions

Estimate green project costs. Analyze data to determine project feasibility.
#20338 · Core · 70% automatable

Evaluate construction methods and determine cost-effectiveness of plans, using computer models.

data analysis — Forecast analysis for decisions; human decides

Model operational processes. Analyze forecasting data to improve business decisions.
#19522 · Core · 60% automatable

Inspect or review projects to monitor compliance with environmental regulations.

decision support — Checks program against standards; human verifies compliance

Evaluate green operations or programs for compliance with standards or regulations.
#19520 · Core · 42% automatable

Develop or implement environmental protection programs.

decision support — Remediation plans drafted; regulatory and site judgment human

Implement organizational process or policy changes. Develop environmental remediation or protection plans.
#19524 · Core · 55% automatable

Secure third-party verification from sources, such as Leadership in Energy Efficient Design (LEED), to ensure responsible design and building activities or to achieve favorable LEED ratings for building projects.

interpersonal — AI drafts outreach; human builds candidate relationships

Recruit personnel.
#19521 · Core · 52% automatable

Implement training programs on environmentally responsible building topics to update employee skills and knowledge.

text generation — Compliance content AI-draftable; live training human

Train employees on environmental awareness, conservation, or safety topics.
#19519 · Supplemental · 68% automatable

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

data analysis — Green operational budget drafting from cost assumptions

Prepare operational budgets for green energy or other green operations.
#19518 · Supplemental · 58% automatable

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

text generation — Policy drafting aided; governance decisions human

Develop sustainable organizational policies or practices.
#3331 · Supplemental · 65% automatable

Direct acquisition of land for construction projects.

decision support — Procurement drafting and comparison; human commits funds

Purchase materials, equipment, or other resources.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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