Resilient
Last Update: 8/30/2026
AI Resilience Score for Construction Supervisors:
72.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forFirst-Line Supervisors of Construction Trades and Extraction Workers
$79,920 median salary•67,000 annual openings•SOC Code: 47-1011.00
First-Line Supervisors of Construction Trades and Extraction Workers are more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
This career is labeled "Resilient" because the heart of the job, walking jobsites, mentoring apprentices, and making real-time judgment calls when plans meet messy reality, simply cannot be handed off to an algorithm. AI tools like safety photo analyzers and scheduling software are genuinely useful, but they assist the supervisor rather than replace them, handling paperwork and planning tasks while the human stays in charge of the crew.
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This career is labeled "Resilient" because the heart of the job, walking jobsites, mentoring apprentices, and making real-time judgment calls when plans meet messy reality, simply cannot be handed off to an algorithm. AI tools like safety photo analyzers and scheduling software are genuinely useful, but they assist the supervisor rather than replace them, handling paperwork and planning tasks while the human stays in charge of the crew.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Construction Supervisors
Updated Quarterly
How is AI changing Construction Supervisors jobs?
Right now, AI is mostly augmenting — not replacing — construction supervisors. The tools showing up on jobsites help with paperwork, planning, and safety, which are exactly the tasks that automation scores flag as most vulnerable. For example, Turner Construction released "SafeT Coach," an AI safety assistant built in ChatGPT [1] that lets a superintendent snap a photo of a scaffold and instantly get feedback on missing toe boards or cross-bracing, with the tool logging more than 25,000 field interactions before its public release.
On the planning side, McKinsey formalized an alliance with ALICE Technologies to bring generative scheduling software to contractors [2], a system that has helped accelerate more than 35 capital projects by up to 20% by treating labor, equipment, and materials as adjustable variables. The AGC has also published a 2025 AI Resource Guide for Construction Professionals as a practical roadmap [3] for supervisors and firms exploring the technology. What AI is not doing is walking the site, mentoring apprentices, or making judgment calls when a plan meets messy reality.
Sources
How fast is AI adoption growing for Construction Supervisors?
Adoption is real but uneven. A Bluebeam survey of 1,000 AEC professionals found only 27% currently use AI [4], partly because more than half of respondents still rely on paper during design and planning — hard to feed an AI when your data lives in a binder. Momentum is building, though: Deltek's 2026 Clarity studies found about 90% of government contractors are using or planning to use AI [5], even while only 5% call themselves "mature" adopters.
Labor economics are pushing firms forward — BambooHR's State of the Workforce 2026 found 72% of construction leaders say skilled-labor shortages are already hurting operations [5], which makes AI tools that stretch a supervisor's day very attractive. Encouragingly, that same survey found more than 80% of construction workers believe their hands-on skills protect them from AI displacement. And as ENR notes, AI momentum in construction will only continue to grow [6] — but safety liability, unionized workforces, and the unpredictability of physical jobsites mean human supervisors will stay in charge of the crew for a long time to come.
Sources
Will AI replace Construction Supervisors?
No. We don't think AI will replace First-Line Supervisors of Construction Trades and Extraction Workers, but the job will keep evolving as new tools become standard on the jobsite.
Our scorecard gives this role a 72.1% AI Resilience Score, and the evidence backs that up. AI is already showing up in real ways: tools like Turner Construction's SafeT Coach let supervisors flag scaffold hazards from a photo [1], and generative scheduling software has helped accelerate capital projects by up to 20% [2]. These tools handle paperwork, planning, and safety documentation faster than any human can. That's genuinely useful, not threatening.
What AI cannot do is walk the site, read the crew's mood, mentor a first-year apprentice, or make judgment calls when a plan meets messy reality. Those human responsibilities are exactly why the Meaningful Human Contribution pillar scores so high. And demand is strong: skilled-labor shortages are already hurting operations for 72% of construction leaders [5], which makes experienced supervisors more valuable, not less.
Adoption is still uneven, with only 27% of AEC professionals currently using AI [4], but momentum is building. The supervisors who learn to use these tools well will be the ones who thrive.
Sources
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Latest AI news for Construction Supervisors
These articles highlight the evolving role of First-Line Supervisors in construction as AI technology advances. For example, while AI may automate scheduling and documentation, it cannot replace the essential human elements of leadership and safety enforcement on-site. Furthermore, understanding the moderate risk of automation, as noted in the risk score, encourages supervisors to adapt and develop skills that prioritize interpersonal and problem-solving capabilities. Embracing AI as a tool can enhance productivity and resilience in this career, ensuring supervisors remain vital to construction teams.
How Will AI Affect Construction Working Class? What to ...
careerhub.appstate.edu • 9/20/2026
Jul 29, 2025 — One of the most significant concerns about AI in construction is job displacement. Automation may replace workers who perform repetitive tasks, ... Read more
Will AI Replace First-Line Supervisor of Construction ...
jobzonerisk.com • 9/20/2026
AI construction management tools are reshaping scheduling, documentation, and monitoring — but on-site crew leadership, safety enforcement, and hands-on…
AI Trainer (Contract) @ Handshake
jobs.reachcapital.com • 9/20/2026
First -Line Supervisors of Construction Trades and Extraction Workers - AI Trainer. This job is no longer accepting applications. Remote USD 75-75 / hour. ...
Will AI Replace First-Line Supervisors of Construction Trades ...
www.aiexposure.org • 9/20/2026
First-Line Supervisors of Construction Trades and Extraction Workers have a composite AI automation risk score of 40 out of 100, classified as "Moderate".
How might artificial intelligence affect Texas’ good jobs?
www.dallasfed.org • 11/4/2025
The majority of research on artificial intelligence (AI) and its effect on work estimates that AI will have the greatest effect on...
More Career Info
Career: First-Line Supervisors of Construction Trades and Extraction Workers
They oversee and guide construction workers, making sure projects are done safely, on time, and according to plans.
Parent Careers
Employment & Wage Data
Median Wage
$79,920
Jobs (2025)
913,300
Growth (2025-35)
+5.0%
Annual Openings
67,000
Education
High school diploma or equivalent
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.
2
Supervise, coordinate, or schedule the activities of construction or extractive workers.
3
Suggest or initiate personnel actions, such as promotions, transfers, or hires.
4
Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.
5
Train workers in construction methods, operation of equipment, safety procedures, or company policies.
6
Coordinate work activities with other construction project activities.
7
Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
