Headline risk
15%
Moderate RiskInstallation, maintenance, and repair workers, all other
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
All installation, maintenance, and repair workers not listed separately.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 48,640
Employment 2024
221.2K
Projected Change (2024–34)
2.4%
Openings (2024–34)
21.5K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Prepare and maintain logs, reports, or other documentation of work performed. AI use: 0%
- 2. Collect and record data associated with operating geothermal power plants or well fields. AI use: 0%
- 3. Monitor and adjust operations of geothermal power plant equipment or systems. AI use: 0%
- 4. Identify and correct malfunctions of geothermal plant equipment, electrical systems, instrumentation, or controls. AI use: 0%
- 5. Adjust power production systems to meet load and distribution demands. AI use: 0%
- 6. Identify equipment options, such as compressors, and make appropriate selections. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 43.0 · 211K employed
Under 25: 13% · 25–54: 59% · 55+: 27%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.