Share and intensity of work current AI systems can materially affect.
SOC 49-9044
Millwrights AI displacement risk
Millwrights install, align, and level industrial machinery — setting clearances and alignments that determine whether a production line runs true. Laser-alignment tools have transformed the measurement, but rigging multi-ton machines into place and dialing them to specification is judgment-intensive physical work.
Likely potential for exposed tasks to move to software after workflow integration.
Every automated production line increases demand for the people who install and align it. Laser tools made millwrights faster and more precise; they did not make them optional.
Distribution
Where Millwrights sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
23 O*NET task statements matched to SOC 49-9044. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $65,700 (May 2025, US national). The latest BLS row matched SOC 49-9044.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Millwrights
SOC 49-9044 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Millwrights
The current evidence import matched 23 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks23
SOC49-9044
- Core task / ID 3041
Replace defective parts of machine, or adjust clearances and alignment of moving parts.
- Core task / ID 21083
Align machines or equipment, using hoists, jacks, hand tools, squares, rules, micrometers, lasers, or plumb bobs.
- Core task / ID 3048
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.
- Core task / ID 3047
Signal crane operator to lower basic assembly units to bedplate, and align unit to centerline.
- Core task / ID 18785
Conduct preventative maintenance and repair, and lubricate machines and equipment.
- Core task / ID 3045
Assemble and install equipment, using hand tools and power tools.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Align machines using lasers, micrometers, and plumb bobs
Exposure 28, automation 12%, augmentation 50%.
O*NET evidence: Align machines or equipment, using hoists, jacks, hand tools, squares, rules, micromete... (ID 21083)
Assemble and install equipment with hand and power tools
Exposure 18, automation 7%, augmentation 36%.
O*NET evidence: Assemble and install equipment, using hand tools and power tools. (ID 3045)
Adjust clearances between moving and stationary parts
Exposure 24, automation 10%, augmentation 44%.
O*NET evidence: Insert shims, adjust tension on nuts and bolts, or position parts, using hand tools and... (ID 3048)
Conduct preventive maintenance and repair
Exposure 24, automation 10%, augmentation 44%.
O*NET evidence: Conduct preventative maintenance and repair, and lubricate machines and equipment. (ID 18785)
TaskExposureAutomationAugmentation
Align machines using lasers, micrometers, and plumb bobs2812%50%
Assemble and install equipment with hand and power tools187%36%
Adjust clearances between moving and stationary parts2410%44%
Conduct preventive maintenance and repair2410%44%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowMaintenance Supervisor
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 122.
- Lead mechanical crews
- Own reliability programs
- Manage shutdown schedules
credentialed transition
LowReliability Engineer
Training horizon: 24-36 months. Skill overlap 56. Wage preservation signal 136.
- Complete an engineering degree
- Master vibration analysis
- Own asset strategies
Comparison guides
Compare the next move before you commit
6-12 months
Millwrights to Maintenance Supervisor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Millwrights into Maintenance Supervisor.
24-36 months
Millwrights to Reliability Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Millwrights into Reliability Engineer.
What the AI risk score means for Millwrights
The displacement pressure score for Millwrights is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Align machines using lasers, micrometers, and plumb bobs carries 12% automation pressure, while Align machines using lasers, micrometers, and plumb bobs carries 50% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $65,700 (May 2025, US national). Employment context: Precision machinery installation at micron tolerances. Typical education: High school plus registered apprenticeship.
Wage vulnerability is 30, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Automation grows installation demand
- Laser tools assist, not replace
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Millwrights, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Precision alignment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Heavy equipment handling
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Machine installation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Preventive maintenance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Maintenance Supervisor, such as lead mechanical crews.
- By 90 days, compare internal openings and external postings for Maintenance Supervisor or Reliability Engineer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Millwrights
Will AI replace Millwrights?
Millwrights install, align, and level industrial machinery — setting clearances and alignments that determine whether a production line runs true. Laser-alignment tools have transformed the measurement, but rigging multi-ton machines into place and dialing them to specification is judgment-intensive physical work. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Millwrights work are most exposed to AI?
Align machines using lasers, micrometers, and plumb bobs and Adjust clearances between moving and stationary parts show the strongest automation pressure in this model. Align machines using lasers, micrometers, and plumb bobs and Adjust clearances between moving and stationary parts are better treated as AI-augmented work.
What should Millwrights learn next?
Start with Precision alignment, Heavy equipment handling, Machine installation. The most practical adjacent paths in this model are Maintenance Supervisor and Reliability Engineer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics