Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Mechanics & Installers Sup.:
51.1%
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.
Med
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%).
Low
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 Mechanics, Installers, and Repairers
$79,860 median salary•48,900 annual openings•SOC Code: 49-1011.00
First-Line Supervisors of Mechanics, Installers, and Repairers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
This career is labeled "Mostly Resilient" because the heart of the job, including safety coaching, hands-on repairs, and managing people through real-world problems, requires human judgment and physical skill that AI simply cannot replicate. AI tools are taking over the repetitive paperwork side of things (like logging maintenance codes, predicting equipment failures, and scheduling work orders), which actually frees supervisors up to focus on the complex, people-centered parts of their role.
Learn more about how you can thrive in this position
This role is mostly resilient
This career is labeled "Mostly Resilient" because the heart of the job, including safety coaching, hands-on repairs, and managing people through real-world problems, requires human judgment and physical skill that AI simply cannot replicate. AI tools are taking over the repetitive paperwork side of things (like logging maintenance codes, predicting equipment failures, and scheduling work orders), which actually frees supervisors up to focus on the complex, people-centered parts of their role.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Mechanics & Installers Sup.
Updated Quarterly

How is AI changing Mechanics & Installers Sup. jobs?
Right now, AI is mostly augmenting — not replacing — first-line supervisors of mechanics, installers, and repairers. Because so much of the job is hands-on and human-focused (safety coaching, resolving conflicts, doing skilled repairs), the tools showing up in shops are aimed at the paperwork and planning parts of the role. In heavy-duty repair, Fullbay recently launched an "AI-native" platform with voice-to-text note cleanup, image analysis of parts, and an AI Receptionist that handles after-hours calls, cutting the admin work supervisors used to do by hand.
Trade publication Fleet Maintenance explains that AI systems built on standardized Vehicle Maintenance Reporting Standards (VMRS) codes can suggest correct codes, reduce manual data entry, spot recurring failures, and predict which assets will fail sooner — directly automating the record-keeping and cost-estimating tasks flagged as most automatable. On the fleet side, Heavy Duty Trucking reports [1] that managers and technicians can now "partner with intelligent machines" to predict failures and manage uptime. Even so, Technicians of America notes [2] that predictive maintenance repositions technicians as problem-solvers rather than firefighters — an AI flags a degrading bearing, but a human verifies the diagnosis, orders parts, and executes the repair.
Supervisors are the ones translating those AI alerts into real work.
Sources

How fast is AI adoption growing for Mechanics & Installers Sup.?
Adoption is moving fast in some corners and slowly in others. The MaintainX 2026 State of Industrial Maintenance report [3] found 58% of maintenance teams are already using AI, with 75% reporting measurable ROI in under six months, and professional groups are actively training supervisors — AEMP's AI Academy [4] promises an "AI adoption roadmap tailored to equipment management" plus a readiness check for fleet managers. A Deloitte survey highlighted by AI Magazine [5] found 80% of manufacturers plan to spend at least a fifth of their improvement budgets on smart-manufacturing tech like automation, analytics, and agentic AI, which speeds adoption further.
But brakes exist. The U.S. Bureau of Labor Statistics [6] points out that safety regulations and the need for licensed professionals to review work slow full automation in skilled trades. MaintainX's data also shows 79% of teams saw unplanned downtime stay the same or increase despite new tools, because labor shortages and poor knowledge transfer are the real bottlenecks.
Add in the physical, safety-critical nature of the work, and supervisors remain essential. The takeaway for young people: learn the trade and get comfortable with data — that combination is what employers will pay for through 2030.
Sources

Will AI replace Mechanics & Installers Sup.?
No. We don't think AI will replace First-Line Supervisors of Mechanics, Installers, and Repairers, though we do expect the job to change.
Our 51.1% AI Resilience Score reflects a role that is holding up well, mostly because so much of it is physical, safety-critical, and people-focused. AI is already handling the paperwork and planning side: predictive tools can flag failing components and suggest repair codes, and platforms built on fleet data help managers spot recurring failures before they become costly [1]. That frees supervisors from grunt-level admin work. But someone still has to verify the diagnosis, direct the crew, manage safety, and make judgment calls under pressure. AI cannot do that.
Employer demand is the strongest part of this picture. The Bureau of Labor Statistics projects solid openings through 2034, and adoption is accelerating fast in shops that can afford it [6]. Roughly 58% of maintenance teams are already using AI tools, with most reporting measurable returns within six months [3]. Professional groups are even building AI training specifically for equipment managers [4].
The honest caveat is that wages and career flexibility face real pressure as AI absorbs the higher-paid analytical tasks. The supervisors who adapt will be the ones who combine deep trade knowledge with comfort around data. Learn both, and this career has a real future.
Sources

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Latest AI news for Mechanics & Installers Sup.
These articles highlight the evolving role of First-Line Supervisors of Mechanics, Installers, and Repairers in an AI-driven landscape. With a 42/100 risk of AI replacement, there's a clear opportunity for growth. For example, while recordkeeping tasks may face 82% automation, on-site leadership and technical expertise remain vital. Embracing AI tools like predictive maintenance can enhance operational efficiency, making supervisors more indispensable. This career path shows promising AI resilience, with competitive wages and a significant demand for skilled professionals who adapt to new technologies.
AI Impact on Maintenance Supervisors | 42/100 Risk
www.aijobchecker.com • 9/20/2026
First Line Supervisors of Mechanics score 42/100 for AI replacement risk. Recordkeeping faces 82% automation. See which tasks are safe and how to adapt.
First-Line Supervisors of Mechanics, Installers, and Repairers
www.linkedin.com • 9/20/2026
This pivotal role oversees skilled technicians and mechanics, ensuring operational excellence and integrating cutting-edge AI solutions into maintenance and ... Read more
Will AI Replace First-Line Supervisor of Mechanics ...
jobzonerisk.com • 9/20/2026
AI-powered CMMS, predictive maintenance, and diagnostic tools are reshaping scheduling and documentation — but on-site crew leadership, technical…
AI-Resilient Skilled Trades Jobs
www.airesilience.org • 9/20/2026
AI Resilience: 52.3% Wage: $63,890 Annual. First-Line Supervisors of Mechanics, Installers, and Repairers. AI Resilience: 52.1% Wage: $79,860 Annual Openings: ...
More Career Info
Career: First-Line Supervisors of Mechanics, Installers, and Repairers
They oversee mechanics, installers, and repairers to ensure they do their jobs correctly and safely, solving problems and keeping everything running smoothly.
Parent Careers
Employment & Wage Data
Median Wage
$79,860
Jobs (2025)
629,000
Growth (2025-35)
+4.1%
Annual Openings
48,900
Education
High school diploma or equivalent
Experience
Less than 5 years
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
Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding equipment.
2
Counsel employees about work-related issues and assist employees to correct job-skill deficiencies.
3
Confer with personnel, such as management, engineering, quality control, customer, or union workers' representatives, to coordinate work activities, resolve employee grievances, or identify and review...
4
Recommend or initiate personnel actions, such as hires, promotions, transfers, discharges, or disciplinary measures.
5
Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.
6
Inspect, test, and measure completed work, using devices such as hand tools or gauges to verify conformance to standards or repair requirements.
7
Design equipment configurations to meet personnel needs.
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.
