Installation, maintenance, and repair workers, all other
SOC Code: 49-9099
Installation, maintenance, and repair workers, all other carries a 33% AI exposure score (Medium automation risk), with a median annual wage of $48,640 and +2.4% projected employment growth from 2024 to 2034 (BLS), affecting approximately 221,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Installation, maintenance, and repair workers, all other (SOC 49-9099) carries an AI exposure score of 33%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 221,200 workers in this occupation in 2024, and projects a +2.4% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $48,640, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Installation, maintenance, and repair workers, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Adjust power production systems to meet load and distribution demands.
- 2. Monitor and adjust operations of geothermal power plant equipment or systems.
- 3. Prepare and maintain logs, reports, or other documentation of work performed.
- 4. Identify and correct malfunctions of geothermal plant equipment, electrical systems, instrumentation, or controls.
- 5. Collect and record data associated with operating geothermal power plants or well fields.
- 6. Maintain electrical switchgear, process controls, transmitters, gauges, and control equipment in accordance with geothermal plant procedures.
- 7. Calculate heat loss and heat gain factors for residential properties to determine heating and cooling required by installed geothermal systems.
- 8. Maintain, calibrate, or repair plant instrumentation, control, and electronic devices in geothermal plants.
- 9. Install and maintain geothermal plant electrical protection equipment.
- 10. Design and lay out geothermal heat systems according to property characteristics, heating and cooling requirements, piping and equipment requirements, applicable regulations, or other factors.
Key Skills Required
- Operations Monitoring
- Monitoring
- Troubleshooting
- Operation and Control
- Reading Comprehension
- Critical Thinking
- Quality Control Analysis
- Active Learning
- Complex Problem Solving
- Equipment Maintenance
Knowledge Areas
- Mechanical
- English Language
- Physics
- Education and Training
- Public Safety and Security
- Chemistry
- Design
- Mathematics
- Telecommunications
- Production and Processing
Frequently Asked Questions
Will AI replace Installation, maintenance, and repair workers, all other?
Installation, maintenance, and repair workers, all other has an AI exposure score of 33%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Installation, maintenance, and repair workers, all other?
According to BLS Employment Projections 2024-2034, Installation, maintenance, and repair workers, all other is projected to grow by 2.4% over the decade. Current employment stands at approximately 221,200 workers.
What skills are needed for Installation, maintenance, and repair workers, all other?
Key skills for Installation, maintenance, and repair workers, all other include Operations Monitoring, Monitoring, Troubleshooting, and others. Typical entry-level education is High school diploma or equivalent.
How much do Installation, maintenance, and repair workers, all other earn?
The median annual wage for Installation, maintenance, and repair workers, all other is $48,640, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Installation, maintenance, and repair workers, all other?
The typical entry-level education for Installation, maintenance, and repair workers, all other is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Installation, maintenance, and repair workers, all other?
Installation, maintenance, and repair workers, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).