Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Repair & Maintenance

Maintenance and Repair Workers, General and AI

Low exposureAI score 3/10 · Repair & Maintenance
3out of 10
JPE Score
Median salary
$50K
OEWS May 2025
Forecast 2030
-5% to +10%
Employment
1.6M
BLS Employment Projections 2025
Employment growth 2021-2025 (OEWS)
+8%
Forecast trend 2025-2030
stable
Education
Associate
Sector
Repair & Maintenance

Exposure scores

JPE (Practical Exposure)3/10 — Low exposure
Felten AIOE (academic reference)4.5/10
Employment growth 2021-2025 (OEWS)+8%

AI exposure explained

What does an AI score of 3/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Maintenance and Repair Workers, General has low AI exposure and grew in recent years. This occupation relies on human-centered demand that AI cannot easily replicate.


Forecast 2030

What changes for Maintenance and Repair Workers, General?

Expected employment change, 2025 to 2030
-5% to +10%
Midpoint +2% · Stable: invest in AI skills
BaseBLS projection, AI not named by BLS+2%
Base + AIJPE 3/10: 0%+2%
Base + AI + roboticsno robotics effect before 2030+2%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupation and adds AI and robotics as separate layers. The band of -5% to +10% matters more than the midpoint.

BLS AI exposure category: Low (context next to the JPE score, not used in the forecast)

Sources: base BLS Employment Projections 2025-35 · jobs: BLS Employment Projections, 2025 (incl. self-employed) · growth 2021-2025: OEWS May 2021 to May 2025 · salary: OEWS May 2025. BLS already builds AI and automation effects into its projection for some occupations; where it does, no separate layer is added on top.

Read the methodology →


Sector context

Repair & Maintenance and AI

Maintenance and Repair Workers, General belongs to the Repair & Maintenance sector. This sector has an education level index of 2/4, indicating moderate formal education requirements. Occupations in Repair & Maintenance with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPTAugmentir

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

Based on your sector (Repair & Maintenance) and AI exposure level, here are three concrete steps to future-proof your career.

Use AI diagnostic tools

Pinpoint issues faster and reduce time-to-fix by 30%

→ Augmentir, ServiceTitan
Adopt predictive parts inventory

AI ensures the right parts are in stock before you need them

→ ServiceTitan, ChatGPT
Automate service scheduling and dispatching

AI optimizes routes and job assignments in real-time

→ ServiceTitan, Housecall Pro

Related occupations

Similar occupations on the map

Heating, Air Conditioning, and Refrigeration Mechanics and Installers
AI 3/10·+5% 2030
Repair & Maintenance
Automotive Service Technicians and Mechanics
AI 3/10·+2% 2030
Repair & Maintenance
Industrial Machinery Mechanics
AI 3/10·+9% 2030
Repair & Maintenance
Home Health and Personal Care Aides
AI 3/10·+9% 2030
Healthcare Support
Fast Food and Counter Workers
AI 3/10·+2% 2030
Food Service

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment from BLS Employment Projections 2025-35 (2025, including self-employed); growth 2021-2025 and salaries from BLS OEWS May 2021 and May 2025 (an estimate where OEWS has no figure). The 2030 forecast (JPE-prognose v3) starts from the BLS Employment Projections and adds separate AI and robotics layers only where BLS does not already include those effects. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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