General maintenance and repair workers
Physical, social, or oversight-heavy work that AI augments rather than replaces.
SOC 49-9071 · Installation Maintenance And Repair
Signal composition
how the 0-100 score is assembled
By seniority
multiplicative adjustment from category curve
Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.
Task-level analysis
scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance
Order supplies from catalogs and storerooms
AI can autonomously identify needed supplies from maintenance records, search catalogs, compare prices, generate purchase orders, and track inventory with minimal human input. This is primarily a data and transaction task well-suited to current automation.
BLS evidence: Workers 'order supplies from catalogs and storerooms' and 'get supplies and parts from distributors or storerooms.'
Keep detailed records of maintenance and repair work
AI can automatically log maintenance activities from technician inputs, generate reports, track work history, analyze patterns, and maintain compliance records with minimal human effort beyond initial data entry or voice dictation, which can also be automated via integration.
BLS evidence: Workers 'keep detailed records of their work' as a typical duty.
Plan repair work using blueprints or diagrams
AI can interpret blueprints, suggest repair sequences, generate material lists, and create work plans from technical drawings with high accuracy. Human oversight is needed to validate feasibility given site conditions, but AI handles most of the planning cognitive work.
BLS evidence: Workers 'plan repair work using blueprints or diagrams' as a typical duty.
Meet with clients to estimate repairs and costs
AI can assist with cost estimation from databases and generate preliminary quotes, but meeting clients requires interpersonal skills, on-site assessment of repair scope, negotiation, and building trust—human elements that remain central even with AI support tools.
BLS evidence: Workers 'meet with clients to estimate repairs and costs' as listed in typical duties.
Inspect and diagnose problems to determine best corrective action
AI can assist with diagnostic suggestions from sensor data or manuals, but physical inspection requires presence at the equipment, tactile/visual/auditory assessment of mechanical problems, and contextual judgment about building systems that AI cannot perform remotely.
BLS evidence: Workers 'inspect and diagnose problems and figure out the best way to correct them' as a core duty.
Assemble and set up machinery or equipment
AI can provide assembly instructions and AR guidance, but physical assembly requires manipulating heavy components, using tools with precision, and adapting to spatial constraints in real facilities—tasks where robotics remains limited outside factory settings.
BLS evidence: Workers 'assemble and set up machinery or equipment' as listed in typical duties.
Perform routine preventive maintenance on machines and equipment
While AI can schedule and track maintenance, the actual execution requires physical presence to lubricate, adjust, clean, and inspect diverse machinery in situ, with manual tasks like filter changes and belt adjustments beyond current robotic capabilities in varied building environments.
BLS evidence: Workers 'perform routine preventive maintenance to ensure that machines continue to run smoothly.'
Perform general cleaning and upkeep of buildings and properties
General cleaning and upkeep across varied building spaces requires navigating complex environments, handling diverse cleaning tasks, moving obstacles, and physical labor that current robotic systems can only perform in highly structured settings like warehouses.
BLS evidence: Workers 'do general cleaning and upkeep of buildings and properties' as listed in duties.
Maintain and repair machines, mechanical equipment, and buildings
Requires hands-on physical manipulation of diverse mechanical systems in unpredictable building environments, fine motor skills for repairs, and real-time problem-solving with physical tools that current robotics cannot reliably perform across the variety of equipment encountered.
BLS evidence: The occupation description states workers 'maintain and repair machines, mechanical equipment, and buildings' as a primary duty.
Fix or paint roofs, windows, doors, floors, and other building components
Involves skilled physical labor at heights and in outdoor conditions—painting, carpentry, roofing—requiring fine motor control, material handling, and adaptation to building-specific conditions that are far beyond current AI-robotics integration in construction contexts.
BLS evidence: Workers 'may fix or paint roofs, windows, doors, floors, woodwork, walls, and other parts of buildings.'
Fix or replace faulty electrical switches, outlets, and circuit breakers
Demands precise manual dexterity to work with live electrical components in varied physical contexts, safety-critical judgment about electrical hazards, and physical presence in non-standardized building environments that AI-controlled robotics cannot navigate or manipulate safely.
BLS evidence: Workers 'fix or replace faulty electrical switches, outlets, and circuit breakers' as listed in typical duties.
Task heatmap
automation score by task, sorted by weighted contribution
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External signals and sources
category-level priors and BLS fields that feed the four non-task signals
- Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
- BLS projected outlook: As fast as average (4%)
- Indeed demand signal (monthly refresh pending)
- BLS typical entry-level education: High school diploma or equivalent
- Credential trend signal (annual refresh)
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