# First-Line Supervisors of Mechanics, Installers, and Repairers

> Directly supervise and coordinate the activities of mechanics, installers, and repairers. May also advise customers on recommended services. Excludes team or work leaders.

- **SOC code:** 49-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-49-1011-00
- **Also known as:** Maintenance Foreman, Maintenance Manager, Maintenance Supervisor, Service Manager, Electrical and Instrumentation Supervisor (E and I Supervisor), Facilities Maintenance Supervisor, Facility Maintenance Supervisor, Maintenance Coordinator
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Inspect, test, and measure completed work, using devices such as hand tools or gauges to verify conformance to standards or repair requirements.
- Inspect and monitor work areas, examine tools and equipment, and provide employee safety training to prevent, detect, and correct unsafe conditions or violations of procedures and safety rules.
- Monitor employees' work levels and review work performance.
- Interpret specifications, blueprints, or job orders to construct templates and lay out reference points for workers.
- Perform skilled repair or maintenance operations, using equipment such as hand or power tools, hydraulic presses or shears, or welding equipment.
- Participate in budget preparation and administration, coordinating purchasing and documentation and monitoring departmental expenditures.
- Compute estimates and actual costs of factors such as materials, labor, or outside contractors.
- Monitor tool and part inventories and the condition and maintenance of shops to ensure adequate working conditions.
- Requisition materials and supplies, such as tools, equipment, or replacement parts.
- 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 resource needs.
- Determine schedules, sequences, and assignments for work activities, based on work priority, quantity of equipment, and skill of personnel.
- Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Monitoring _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Administration and Management _(knowledge)_
- Management of Personnel Resources _(transferable_skill)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Near Vision _(ability)_
- Mechanical _(knowledge)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_

**Skills in demand:**
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Systems Analysis _(Specialized Skill)_
- Active Learning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Autodesk AutoCAD _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Primavera Enterprise Project Portfolio Management _(hot technology)_
- SAP software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 51st percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 47th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 64th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 42nd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 0th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.1% growth (About average); 52.4k annual openings; 617.5k → 636.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $78,300; 600,680 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 35% automation, 28% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Develop or implement electronic maintenance programs or computer information management systems. _(0.7% of measured AI use; directive)_
- Examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs. _(0.5% of measured AI use; directive)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me develop or implement electronic maintenance programs or computer information management systems.
- Help me examine objects, systems, or facilities and analyze information to determine needed installations, services, or repairs.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-49-1011-00_