Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Machinists:
39.0%
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.
Med
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%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forMachinists
$58,750 median salary•26,100 annual openings•SOC Code: 51-4041.00
Machinists are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Machining is labeled "Somewhat Resilient" because AI is actively changing how the work gets done, even if it is not eliminating the job entirely. Tasks like programming, calculating tolerances, and optimizing cutting conditions are increasingly handled by AI tools, which means the role is shifting toward workers who can operate, monitor, and collaborate with these smart systems.
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Machining is labeled "Somewhat Resilient" because AI is actively changing how the work gets done, even if it is not eliminating the job entirely. Tasks like programming, calculating tolerances, and optimizing cutting conditions are increasingly handled by AI tools, which means the role is shifting toward workers who can operate, monitor, and collaborate with these smart systems.
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Machinists
Updated Quarterly
How is AI changing Machinists jobs?
If you're thinking about becoming a machinist, here's the good news: right now, AI is mostly helping machinists rather than replacing them. Trade publication American Machinist reports that AI-powered systems can analyze real-time sensor data to recommend adjustments to feeds, speeds, and cutting conditions [1], reducing tool wear and scrap while the human still runs the shop floor. Modern Machine Shop similarly explains that AI is making robots easier to use and more capable in palletizing, assembly, inspection and more [2], which augments — rather than eliminates — skilled operators.
The Bureau of Labor Statistics projects machinist and tool-and-die-maker employment will decline about 1 percent from 2025 to 2035, but roughly 30,400 openings each year [3] will still open up as workers retire. Programming and calculating tolerances are the tasks most affected, while hands-on setup, fixturing, and assembly remain very human.
Sources
How fast is AI adoption growing for Machinists?
Adoption is accelerating but uneven. Deloitte's 2026 outlook found that 80% of manufacturing executives plan to invest 20% or more of their improvement budgets in smart manufacturing initiatives [4], including agentic AI, sensors, and automation hardware — a strong economic pull. However, McKinsey warns that you cannot realize the ROI without investing in talent [5], and a stubborn labor shortage actually pushes shops to adopt AI to stretch their existing workforce.
High equipment costs, cybersecurity concerns, and the need for skilled programmers slow things down for smaller shops. The encouraging takeaway: as Carolyn Lee of the Manufacturing Institute puts it, jobs will change, but workers will remain [5] — so learning CAD/CAM, data literacy, and robotics alongside traditional machining skills is your best bet.
Sources
Will AI replace Machinists?
Not entirely. We think AI will take over some tasks, but not the whole job.
Machinists earn a 39.0% AI Resilience Score from us, which reflects real pressure but not a full takeover. The tasks most at risk are the ones that are already becoming automated: programming, calculating tolerances, and optimizing feeds and speeds. AI-powered systems can analyze real-time sensor data to recommend those kinds of adjustments on the fly [1]. That is genuinely significant, and machinists who ignore it will struggle.
What stays human is the hands-on work: setup, fixturing, troubleshooting a part that is not coming out right, and making judgment calls on the shop floor. AI is also making robots easier to use in palletizing, assembly, and inspection [2], which means skilled operators are needed to work alongside those systems, not be replaced by them. The Bureau of Labor Statistics projects around 30,400 openings per year through 2035 [3], mostly from retirements, so there is still a path in.
The honest caveat is that the economic picture is tighter than the job-opening numbers suggest. Wages and career flexibility face real pressure as automation spreads. Learning CAD/CAM, data literacy, and robotics alongside traditional machining skills is the clearest way to stay valuable [5].
Sources
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Latest AI news for Machinists
These articles highlight the transformative role of AI in machinist careers, emphasizing operational efficiency and innovation. For instance, AI solutions in predictive maintenance can significantly reduce downtime, making machinists more valuable in modern manufacturing. Additionally, advancements like AI-native machining systems redefine process control, allowing machinists to enhance their craftsmanship while working alongside automation. By embracing these AI developments, students can cultivate resilience in their careers, ensuring they remain essential contributors in an evolving industry.
IMTS 2026 Conference: From CAM Automation to AI-Native Machining: The Next Evolution of Process Control
www.aerospacemanufacturinganddesign.com • 6/25/2026
Learn how AI-native machining systems are redefining process innovation.
From Waste Reduction to Predictive Maintenance: AI’s Impact on Machinists
www.thomasnet.com • 12/10/2025
Lead Time. AI solutions drive major operational efficiencies by optimizing designs and workflows, operating machinery, and enhancing predictive...
Marrying Automation with Skilled Hands in CNC Machining
www.advancedmanufacturing.org • 9/18/2025
CNC machinists combine expertise with robotics and AI to boost productivity, enhance quality, and lead the transformation of modern machine...
CAM programming with AI assist
www.aerospacemanufacturinganddesign.com • 9/9/2025
CloudNC announces that its CAM Assist solution is now used by over 1,000 machine shops and machinists worldwide, who use the solution's AI to accelerate the...
New Cutting Parameters AI Solution To Transform CNC Machining
metrology.news • 5/3/2024
CloudNC expects CAM Assist users to realise productivity gains of at least 20% in their machining operations using Cutting Parameters AI.
More Career Info
Career: Machinists
They shape and create metal parts by using machines, ensuring everything fits together perfectly for building things like cars and airplanes.
Parent Careers
Employment & Wage Data
Median Wage
$58,750
Jobs (2025)
288,300
Growth (2025-35)
+1.0%
Annual Openings
26,100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Dismantle machines or equipment, using hand tools or power tools to examine parts for defects and replace defective parts where needed.
2
Install experimental parts or assemblies, such as hydraulic systems, electrical wiring, lubricants, or batteries into machines or mechanisms.
3
Fit and assemble parts to make or repair machine tools.
4
Install repaired parts into equipment or install new equipment.
5
Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines.
6
Set up or operate metalworking, brazing, heat-treating, welding, or cutting equipment.
7
Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.
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.
