BETA
Updated: Mar 24
BETA
Updated: Mar 24
Stable
Last Update: 3/13/2026
Your role’s AI Resilience Score is
77.9%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
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.
This role is stable
This career is considered "Stable" because, while AI tools are helping with tasks like planning and measuring, the core responsibilities of a construction supervisor—like assigning crews, solving on-site problems, and teaching tradespeople—still require human skills. Supervisors' abilities in leadership, judgment, and hands-on training are essential and can't be replaced by machines.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is stable
This career is considered "Stable" because, while AI tools are helping with tasks like planning and measuring, the core responsibilities of a construction supervisor—like assigning crews, solving on-site problems, and teaching tradespeople—still require human skills. Supervisors' abilities in leadership, judgment, and hands-on training are essential and can't be replaced by machines.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Evolving68.8%
68.8%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Evolving64.9%
64.9%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Stable87.1%
87.1%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Stable88.1%
88.1%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Stable79.5%
79.5%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
5.3%
Growth Percentile:
75.2%
Annual Openings:
74,400
Annual Openings Pct:
85.7%
Analysis of Current AI Resilience
Construction Supervisors
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
In construction supervision, some tasks are seeing AI helpers but none are fully “run by robots” yet. For example, planning and scheduling tools are getting smarter. A 2024 industry survey found ~42% of firms already use AI for project planning [1].
In research labs, AI (even ChatGPT) has been taught to draft project schedules automatically [2] [2]. In practice today this means a computer can suggest crew assignments or timelines, but a supervisor still checks and adjusts those plans. Recording data (logs, reports, forms) mostly stays manual: construction sites are still largely paper- or tablet-based.
Experts note construction is “one of the least digitized industries,” so filling forms has not been taken over by smart software [3].
Some on-site tasks are augmented by tech. For example, robots and laser systems can now lay out building lines. One study built a mobile robot that automatically drew hundreds of floor grid marks on a worksite with about 2.3 mm accuracy [3] [3].
Drones and augmented-reality apps can project measurements and plans onto the job site. These tools help speed up measuring and marking, but human supervisors still place equipment, verify the markings, and solve issues if things don’t line up. Even analyses or problem-solving often combine sensors and AI: some researchers propose using 3D building models and site cameras so AI can flag delays or safety issues [3].
In the field, however, the supervisor’s experience is still needed to interpret data and coach teams. Likewise, training today may use online videos or VR to show methods, but on-the-ground teaching by a supervisor is still key for learning the ropes.
Sources
AI in the real world
AI is being adopted cautiously in construction. On one hand, there’s a strong incentive: many firms face worker shortages and tight schedules, so tools that speed up planning or monitoring look attractive [3] [3]. Indeed, about 84% of AEC companies surveyed plan to increase AI investment [1].
On the other hand, there are hurdles. Construction projects are unique and safety-critical, so companies move slowly. Experts warn AI isn’t perfect – “fallible outputs” must be checked by humans [1] – and building codes or unions require human oversight.
Also, new AI systems cost money and need training to use, which can be hard for smaller firms. Many workers and managers are used to traditional methods, so there’s natural resistance – construction has an “age-long culture of resistance to change” [3].
In short, adoption will likely be gradual. Supervisors might start using AI tools for data analysis, scheduling or defect spotting, but key parts of the job – assigning crews, solving on-site problems, teaching tradesmen – remain human tasks. Workers’ skills in leadership, judgment and hands-on training are still essential.
The hopeful view is that AI will augment these jobs: doing routine work (like crunching numbers or highlighting issues) so supervisors can focus on decision-making and safety. In that way, this role may evolve rather than disappear, combining new tools with the irreplaceable human skills of a good supervisor [1] [3].
Sources
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More Career Info
Career: First-Line Supervisors of Construction Trades and Extraction Workers
Parent Careers
Employment & Wage Data
Median Wage
$78,690
Jobs (2024)
921,600
Growth (2024-34)
+5.3%
Annual Openings
74,400
Education
High school diploma or equivalent
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Train workers in construction methods, operation of equipment, safety procedures, or company policies.
2
Provide assistance to workers engaged in construction or extraction activities, using hand tools or other equipment.
3
Analyze worker or production problems and recommend solutions, such as improving production methods or implementing motivational plans.
4
Confer with managerial or technical personnel, other departments, or contractors to resolve problems or to coordinate activities.
5
Supervise, coordinate, or schedule the activities of construction or extractive workers.
6
Inspect work progress, equipment, or construction sites to verify safety or to ensure that specifications are met.
7
Coordinate work activities with other construction project activities.
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.
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