# Millwrights

> Install, dismantle, or move machinery and heavy equipment according to layout plans, blueprints, or other drawings.

- **SOC code:** 49-9044.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9044-00
- **Also known as:** Maintenance Millwright, Millwright, Millwright Foreman, Millwright Instructor, Maintenance Mechanic, Millwright Business Representative (Millwright Business Rep), Millwright General Foreman, Precision Millwright
- **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):
- Replace defective parts of machine, or adjust clearances and alignment of moving parts.
- Align machines or equipment, using hoists, jacks, hand tools, squares, rules, micrometers, lasers, or plumb bobs.
- Insert shims, adjust tension on nuts and bolts, or position parts, using hand tools and measuring instruments, to set specified clearances between moving and stationary parts.
- Signal crane operator to lower basic assembly units to bedplate, and align unit to centerline.
- Conduct preventative maintenance and repair, and lubricate machines and equipment.
- Assemble and install equipment, using hand tools and power tools.
- Assemble machines, and bolt, weld, rivet, or otherwise fasten them to foundation or other structures, using hand tools and power tools.
- Move machinery and equipment, using hoists, dollies, rollers, and trucks.
- Level bedplate and establish centerline, using straightedge, levels, and transit.
- Dismantle machines, using hammers, wrenches, crowbars, and other hand tools.
- Bolt parts, such as side and deck plates, jaw plates, and journals, to basic assembly unit.
- Lay out mounting holes, using measuring instruments, and drill holes with power drill.

**Emerging tasks** (O*NET):
- Inventory and store parts, tools, and equipment.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Mathematics _(knowledge)_
- Building and Construction _(knowledge)_
- Manual Dexterity _(ability)_
- Near Vision _(ability)_
- Visualization _(ability)_
- Arm-Hand Steadiness _(ability)_
- Finger Dexterity _(ability)_
- Control Precision _(ability)_
- Multilimb Coordination _(ability)_
- Education and Training _(knowledge)_
- Installation _(transferable_skill)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- Visualization _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Installation _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Equipment Maintenance _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- English Language _(Common Skill)_
- Time Management _(Common Skill)_
- Physics _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- Dassault Systemes SolidWorks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 7th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 9th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 7th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 16th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 50th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 0.0% growth (About average); 3.6k annual openings; 41.3k → 41.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $65,170; 40,660 employed.

## 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-49-9044-00_