BETA
Updated: Mar 20
BETA
Updated: Mar 20
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
60.6%
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Millwrights
They install, fix, and maintain machines in factories to keep everything running smoothly and efficiently.
This role is evolving
The career of a millwright is labeled as "Evolving" because AI is increasingly being used to assist with tasks like predictive maintenance, helping to detect problems early and improve efficiency. However, the hands-on skills of millwrights, such as reading blueprints, aligning machines, and making precise adjustments, remain essential and can't be fully replaced by machines.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of a millwright is labeled as "Evolving" because AI is increasingly being used to assist with tasks like predictive maintenance, helping to detect problems early and improve efficiency. However, the hands-on skills of millwrights, such as reading blueprints, aligning machines, and making precise adjustments, remain essential and can't be fully replaced by machines.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Evolving52.4%
52.4%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Stable80.8%
80.8%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Stable78.5%
78.5%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Evolving32.6%
32.6%
Low Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
0.0%
Growth Percentile:
26.1%
Annual Openings:
3,600
Annual Openings Pct:
32.4%
Analysis of Current AI Resilience
Millwrights
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
In millwright work today, AI most often shows up as a smart assistant rather than a full replacement. For example, “predictive maintenance” software uses sensors on machines to watch vibration, temperature or oil levels and warn of problems before they happen [1]. In practice this means a computer can flag a broken bearing early, but a person still has to take the machine apart, grease it, and bolt in the new part.
As one industry expert explains, AI can process loads of data, but “no algorithm can yet replace the skilled craftsperson who understands how a machine feels, sounds, and behaves under load” [2] [1]. In short, AI tools help catch faults faster, but the actual fixing, lubricating and aligning tasks remain hands-on.
Similarly, robots help with very repetitive assembly work, but they don’t do all millwright tasks. Some factories use robotic arms or automated lifts to position parts, but millwrights still guide cranes and use hand tools for most installations. For instance, the U.S. government’s job guide notes that millwrights use hoists, levels, and cranes to fit machines to their foundations [3].
Research finds that teaming humans and robots (human–robot collaboration) can make maintenance inspections safer and faster [4], but no robot can yet interpret a new blueprint or finely adjust a large steel beam by itself. In practice, then, the core millwright tasks – reading schematics, aligning bedplates, signaling crane operators, and using power tools – remain largely manual. AI and machines may augment the job (for example, smart sensors or exoskeletons can ease heavy lifting), but the jobs aren’t fully automated.
Sources
AI in the real world
Manufacturers do see strong benefits from smart technologies, so many are adopting AI tools in stages. Surveys find nearly all makers believe “smart manufacturing” will drive competitiveness [5], and plants with AI often see big gains (one report shows about 20% more output and productivity with automation) [5]. At the same time, forecasts stress that demand for skilled trades will remain high.
Forbes cites studies showing roles like electricians and heavy equipment operators are among the least likely to be automated [6], and one projection calls for about 3.8 million new U.S. manufacturing jobs over the next decade [6]. In short, companies are turning to AI partly because they face labor shortages and need to boost efficiency. Well-designed predictive maintenance or quality-inspection systems can reduce downtime and costs, helping factories run more smoothly.
However, adoption is not instant. New AI systems usually require big up-front investment in sensors, software and training. A Deloitte survey warns that many firms rank finding and upskilling workers as a top challenge [5].
Indeed, almost half of manufacturers report difficulty hiring enough technicians [5]. There are also social and safety factors: maintenance work is dangerous, so companies insist on having humans “in the loop” for critical decisions. In other words, even smart factories rely on people to verify AI results and handle emergencies [7].
Sources
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More Career Info
Career: Millwrights
Parent Careers
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Employment & Wage Data
Median Wage
$65,170
Jobs (2024)
41,300
Growth (2024-34)
+0.0%
Annual Openings
3,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Signal crane operator to lower basic assembly units to bedplate, and align unit to centerline.
2
Operate engine lathe to grind, file, and turn machine parts to dimensional specifications.
3
Position steel beams to support bedplates of machines and equipment, using blueprints and schematic drawings, to determine work procedures.
4
Connect power unit to machines or steam piping to equipment, and test unit to evaluate its mechanical operation.
5
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.
6
Dismantle machines, using hammers, wrenches, crowbars, and other hand tools.
7
Construct foundation for machines, using hand tools and building materials such as wood, cement, and steel.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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