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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
45.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forMillwrights
Millwrights are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a millwright is considered "Somewhat Resilient" because while AI is changing some workflows, much of the work still requires human skills. AI can help predict machine problems and assist with repetitive tasks, but it can't replace the hands-on expertise needed to fix, align, and install complex machinery.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is somewhat resilient
The career of a millwright is considered "Somewhat Resilient" because while AI is changing some workflows, much of the work still requires human skills. AI can help predict machine problems and assist with repetitive tasks, but it can't replace the hands-on expertise needed to fix, align, and install complex machinery.
Read full analysisAnalysis of Current AI Resilience
Millwrights
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Millwrights jobs?
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
How fast is AI adoption growing for Millwrights?
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
They install, fix, and maintain machines in factories to keep everything running smoothly and efficiently.
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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
Dismantle machinery and equipment for shipment to installation site, usually performing installation and maintenance work as part of team.
2
Connect power unit to machines or steam piping to equipment, and test unit to evaluate its mechanical operation.
3
Assemble and install equipment, using hand tools and power tools.
4
Lay out mounting holes, using measuring instruments, and drill holes with power drill.
5
Shrink-fit bushings, sleeves, rings, liners, gears, and wheels to specified items, using portable gas heating equipment.
6
Construct foundation for machines, using hand tools and building materials such as wood, cement, and steel.
7
Align machines and equipment, using hoists, jacks, hand tools, squares, rules, micrometers, and plumb bobs.
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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