Somewhat Resilient
Last Update: 10/7/2026
AI Resilience Score for Grinding, Lapping, etc.:
37.3%
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%).
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
AI Resilience Report forGrinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic
$46,550 median salary•4,500 annual openings•SOC Code: 51-4033.00
Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work, not just hovering on the horizon. Machines are getting smarter at measuring and adjusting themselves automatically, and robots are already handling grinding and polishing tasks in real factories, which means some of the more repetitive, straightforward parts of this job are being automated away.
Learn more about how you can thrive in this position
This role is somewhat resilient
This career is labeled "Somewhat Resilient" because AI is genuinely changing the day-to-day work, not just hovering on the horizon. Machines are getting smarter at measuring and adjusting themselves automatically, and robots are already handling grinding and polishing tasks in real factories, which means some of the more repetitive, straightforward parts of this job are being automated away.
Read full analysisAnalysis of current AI resilience
Grinding, Lapping, etc.
Updated quarterly
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Latest AI news for Grinding, Lapping, etc.
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More Career Info
Career: Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic
They operate machines to smooth and shape metal and plastic parts, ensuring they meet quality standards for manufacturing.
Parent Careers
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Employment & Wage Data
Median Wage
$46,550
Jobs (2025)
68,500
Growth (2025-35)
-10.8%
Annual Openings
4,500
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
Repair or replace machine parts, using hand tools, or notify engineering personnel when corrective action is required.
2
Slide spacers between buffs on spindles to set spacing.
3
Mount and position tools in machine chucks, spindles, or other tool holding devices, using hand tools.
4
Adjust air cylinders and setting stops to set traverse lengths and feed arm strokes.
5
Set up, operate, or tend grinding and related tools that remove excess material or burrs from surfaces, sharpen edges or corners, or buff, hone, or polish metal or plastic workpieces.
6
Thread and hand-feed materials through machine cutters or abraders.
7
Brush or spray lubricating compounds on workpieces, or turn valve handles and direct flow of coolant against tools and 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.
