Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Machinists:
34.0%
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
$56,150 median salary•29,500 annual openings•SOC Code: 51-4041.00
Machinists are less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Machining is labeled "Not Very Resilient" because AI is moving beyond just assisting machinists and is starting to handle core parts of the job automatically, including adjusting equipment, optimizing programs, and capturing the expert knowledge that used to live only in experienced workers' heads. At the same time, traditional hands-on roles are shrinking, with manufacturers reporting job losses and a clear shift away from manual work toward supervising and maintaining smart machines.
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Machining is labeled "Not Very Resilient" because AI is moving beyond just assisting machinists and is starting to handle core parts of the job automatically, including adjusting equipment, optimizing programs, and capturing the expert knowledge that used to live only in experienced workers' heads. At the same time, traditional hands-on roles are shrinking, with manufacturers reporting job losses and a clear shift away from manual work toward supervising and maintaining smart machines.
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Machinists
Updated Quarterly
How is AI changing Machinists jobs?
Machinists are seeing AI show up across their workflow, but mostly as a helper rather than a replacement. According to the National Association of Manufacturers' 2026 trend report [1], factories are "shifting decisively toward operations that can sense, respond and optimize with minimal human intervention," with systems that once made recommendations now adjusting equipment automatically — and operators focusing "more on managing exceptions and validating system decisions rather than performing manual interventions." On the programming side, SME's Manufacturing Engineering reports that CAM vendors have embedded AI copilots [2] directly into software, letting machinists "converse with the software using natural language" to cut scrap, tighten tolerances, and capture knowledge from retiring experts. Deloitte's 2026 outlook notes that agentic AI can capture institutional knowledge from retiring employees [3] and that 22% of manufacturers plan to deploy physical AI like humanoid robots within two years — more than doubling current use.
Sources
How fast is AI adoption growing for Machinists?
Adoption will likely be steady but uneven. The BLS projects machinist employment to decline only about 2% from 2024–2034 [4], with 34,200 openings each year as workers retire, suggesting AI is filling labor gaps more than displacing people. Manufacturing Dive reports that U.S. manufacturers lost 78,000 jobs over the past year [5] and that traditional assembly roles are declining while demand grows for "technicians who can work with robotics, maintain advanced equipment and use data." Cost is the main brake: Modern Machine Shop notes that small and mid-sized shops are entering 2026 with "volatile costs, lingering tariff impacts and tight labor," [6] limiting big capital investments.
The good news for young people: hands-on skills, problem-solving, and the ability to program and supervise smart machines are exactly what shops are hiring for.
Sources
Will AI replace Machinists?
In part. We think AI will eventually automate a real share of machinist work, but the hands-on judgment and problem-solving this job demands will keep humans in the picture for years to come.
Our 34.0% AI Resilience Score signals real exposure. AI copilots are already embedded in CAM software, letting machinists use natural language to cut scrap and tighten tolerances [2]. Factories are shifting toward systems that adjust equipment automatically, with operators managing exceptions rather than running every process by hand [1]. That is a genuine shift in what the day-to-day job looks like.
What stays human is the ability to read a situation, troubleshoot a finicky setup, and make calls that a system cannot confidently make on its own. The BLS still projects around 34,200 openings per year through 2034, mostly from retirements [4], which suggests AI is filling gaps more than clearing people out entirely.
The smarter move for anyone in this field is to think beyond the single job title. Manufacturers are actively looking for people who can program and supervise smart machines, maintain advanced equipment, and work alongside robotics [5]. Those skills travel. A machinist who builds fluency with automated systems is building a career, not just keeping a job.
Sources
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Latest AI news for Machinists
These articles highlight the transformative role of AI in machinists' careers, emphasizing the need for adaptability and continuous learning. For instance, the use of AI in predictive maintenance can enhance operational efficiency, allowing machinists to preemptively address machinery issues. Additionally, AI-assisted CAM programming, as seen with CloudNC, empowers machinists to work more effectively and creatively. Embracing these advancements fosters a sense of resilience, ensuring that upcoming machinists can thrive in an evolving industry landscape.
How AI is Transforming Metalworking in 2026
www.qualitymag.com • 1/28/2026
Metalworkers have long faced the familiar pressures of a shrinking workforce and unpredictable supply chains.
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...
How AI Is Guiding a New Era of CNC Programmers
www.advancedmanufacturing.org • 8/8/2025
Discover how AI and automation are transforming CNC programming and manufacturing. Learn how Mastercam Copilot helps bridge skills gaps,...
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
$56,150
Jobs (2024)
299,500
Growth (2024-34)
+0.0%
Annual Openings
29,500
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
Set up or operate metalworking, brazing, heat-treating, welding, or cutting equipment.
2
Test experimental models under simulated operating conditions for purposes such as development, standardization, or feasibility of design.
3
Program computers or electronic instruments, such as numerically controlled machine tools.
4
Fit and assemble parts to make or repair machine tools.
5
Dispose of scrap or waste material in accordance with company policies and environmental regulations.
6
Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.
7
Align and secure holding fixtures, cutting tools, attachments, accessories, or materials onto machines.
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.
