Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Machine Tool Operator:
41.1%
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forMultiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
$47,180 median salary•11,600 annual openings•SOC Code: 51-4081.00
Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career sits in the "Somewhat Resilient" category because AI is actively changing the day-to-day work, even if it is not replacing workers entirely. Tasks like writing shift reports, reading job orders, and spotting machine problems are increasingly being handled by AI tools, which means the routine paperwork and monitoring side of the job is shrinking.
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More career infoAnalysisChatNewsMoreThis role is somewhat resilient
This career sits in the "Somewhat Resilient" category because AI is actively changing the day-to-day work, even if it is not replacing workers entirely. Tasks like writing shift reports, reading job orders, and spotting machine problems are increasingly being handled by AI tools, which means the routine paperwork and monitoring side of the job is shrinking.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Machine Tool Operator
Updated Quarterly
How is AI changing Machine Tool Operator jobs?
Right now, AI in metalworking and plastics is mostly augmenting operators rather than replacing them outright. According to Modern Machine Shop's coverage of IMTS 2026 [1], 71% of top-performing shops already run some form of unattended operation, boosting daily machine use from 8.5 to 15 hours and cutting scrap rates from 2.4% to 0.9% — thanks to cobots, AI-driven programming, and integrated inspection. On the shop floor, Deloitte's 2026 Manufacturing Industry Outlook [2] describes agentic AI that captures institutional knowledge from retiring machinists, autonomously writes shift-handover reports, and generates work instructions — directly targeting the "record data" and "read job orders" tasks.
Automation World [3] notes that in 2026, AI agents are spotting anomalies and suggesting corrective actions in real time, though more than 81% of task hours in manufacturing are still expected to remain human-driven. The hands-on tasks — clearing jams, swapping cutting tools, making minor repairs — remain firmly human because they require dexterity and judgment machines still struggle with.
Sources
How fast is AI adoption growing for Machine Tool Operator?
Adoption is pushing forward but unevenly. Manufacturing Dive [4] reports the vast majority of manufacturers plan to invest 20%+ of improvement budgets into smart manufacturing, and 22% expect to deploy physical AI (including humanoid robots) by 2027. A severe machinist shortage is the biggest accelerator — shops simply can't hire enough people.
But barriers remain: 93% of U.S. manufacturers employ fewer than 99 people, and small shops often lack capital, digital systems, and in-house AI expertise. The U.S. Bureau of Labor Statistics [5] projects employment for metal and plastic machine workers will decline 7% from 2025 to 2035, yet about 78,100 openings will still occur annually — mostly from retirements. The takeaway for young workers: learning CNC programming, robotics tending, and AI-assisted quality tools makes you far more valuable than fearing replacement.
Sources
Will AI replace Machine Tool Operator?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 41.1% AI Resilience Score reflects real pressure on this role. AI is already reshaping the shop floor in concrete ways: agentic tools now write shift-handover reports, generate work instructions, and capture knowledge from retiring machinists [2]. Top-performing shops are running unattended operations that stretch machine use from 8.5 to 15 hours a day while cutting scrap rates significantly [1]. The repetitive, data-entry side of this work is clearly in AI's crosshairs.
But the hands-on core of the job is harder to automate. Clearing jams, swapping cutting tools, making minor repairs, and reacting to unexpected problems on the floor still require dexterity and judgment that machines struggle with. Automation World notes that more than 81% of task hours in manufacturing are still expected to remain human-driven [3]. A severe machinist shortage is actually accelerating investment, not just replacement [4].
The economic picture is mixed. The BLS projects a 7% employment decline through 2035, but about 78,100 openings will still occur each year, mostly from retirements [5]. Workers who build skills in CNC programming, robotics tending, and AI-assisted quality tools will be far better positioned than those who wait and see.
Sources
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Latest AI news for Machine Tool Operator
The recommended articles offer valuable insights for students pursuing careers as Multiple Machine Tool Setters, Operators, and Tenders in metal and plastic. They highlight how AI can enhance job roles rather than replace them. For instance, AI-driven CNC systems can automate routine tasks, allowing operators to focus on complex problem-solving and quality management. Additionally, understanding automation's varied impacts can help students develop resilience in their careers, ensuring they adapt and thrive in an evolving workplace where AI complements their skill sets.
Will AI Replace Cutting & Forming Jobs?
jobzonerisk.com • 8/20/2026
AI-driven CNC systems automate routine cutting programs operators who set up complex multi-die jobs, troubleshoot material flow issues, and manage quality
AI for Multiple Machine Tool Setters, Operators, and Tenders ...
kiwidynamics.com • 8/20/2026
AI actually helps multiple machine tool setters, operators, and tenders, metal and plastic, and where it doesn't.
Top 100 Jobs Most Vulnerable to Replacement by AI and ...
replacemeter.com • 8/20/2026
Jul 25, 2025 — Jobs with the highest automation risk ; 44, Milling and planing machine setters, operators and tenders (metal & plastic), 100 % ; 45, Helpers‑ ... Read more
How Will AI Impact the Workplace? What ...
www.ncda.org • 8/20/2026
AI Application: AI tools assist in various writing tasks, from grammar checking to ... Rolling Machine Setters, Operators, and Tenders, Metal and. Plastic. 24,750. Read more
Contrasting pathways of automation: routine task substitution vs. AI complementarity
www.nature.com • 5/5/2026
Fears of technological unemployment often portray automation as a force that eliminates occupations. This study offers a different...
More Career Info
Career: Multiple Machine Tool Setters, Operators, and Tenders, Metal and Plastic
They operate and adjust machines to shape metal and plastic parts, ensuring everything runs smoothly and meets quality standards.
Parent Careers
Employment & Wage Data
Median Wage
$47,180
Jobs (2025)
127,100
Growth (2025-35)
+0.6%
Annual Openings
11,600
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
Make minor electrical and mechanical repairs and adjustments to machines and notify supervisors when major service is required.
2
Extract or lift jammed pieces from machines, using fingers, wire hooks, or lift bars.
3
Change worn machine accessories, such as cutting tools or brushes, using hand tools.
4
Position, adjust, and secure stock material or workpieces against stops, on arbors, or in chucks, fixtures, or automatic feeding mechanisms, manually or using hoists.
5
Remove burrs, sharp edges, rust, or scale from workpieces, using files, hand grinders, wire brushes, or power tools.
6
Select, install, and adjust alignment of drills, cutters, dies, guides, and holding devices, using templates, measuring instruments, and hand tools.
7
Set up and operate machines, such as lathes, cutters, shears, borers, millers, grinders, presses, drills, or auxiliary machines, to make metallic and plastic workpieces.
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.
