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Grinding Lapping Polishing and Buffing Machine Tool Setters Operators and Tenders Metal and Plastic

Production Occupations
Nov 11
HIGH

What They Do

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 work pieces.

AI Impact Overview

This occupation is highly susceptible to automation and augmented by artificial intelligence-driven technologies due to repetitive, precision-based, and programmable tasks.

AI Analysis

Detailed Analysis

Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders in metal and plastic manufacturing are at high risk due to rapid advancements in robotics, computer numerical control (CNC) machines, and AI-powered quality control. These technologies can automate the precise, repetitive nature of the work, improve operational efficiency, and significantly reduce the need for manual labor. Workers with more experience may transition into supervisory or machine programming roles, but hands-on positions, especially at entry-level, are in jeopardy from automation.

Opportunity

"Although your occupation faces substantial change from automation, upskilling and adapting to emerging technologies can lead to rewarding careers in tech-enabled manufacturing and quality management."

YOUR PERSONALIZED PLAN

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Actionable Steps
Progress Tracking
Expert Resources

AI Risk Assessment

Risk level varies by experience level

J

Junior Level

HIGH

Entry-level and routine tasks are most at risk as AI-enabled systems require less human intervention.

M

Mid-level

MODERATE

Mid-level roles may transition to overseeing advanced machinery and managing automated workflows, but job displacement is possible.

S

Senior Level

MODERATE

Senior staff are less immediately affected due to responsibilities involving troubleshooting, supervision, and process optimization, but should still plan for ongoing change.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

Minor reduction in entry-level job openings due to incremental automation; increased demand for operators with basic computer and machine interface skills.

Transition Strategy

Begin basic digital literacy courses, cross-train in machine programming, seek out mentorship from tech-enabled colleagues.

5 Years

Medium-term Impact

Job Outlook

Steady decline in traditional manual roles as smart machines and AI-based monitoring become standard; some opportunities for workers with hybrid technical and manual expertise.

Transition Strategy

Pursue certifications in robotics maintenance, learn the basics of programming, consider lateral moves to quality control or supply chain management.

7+ Years

Long-term Vision

Job Outlook

Most manual setter/operator jobs will be replaced or significantly transformed, with new opportunities primarily in system oversight, machine learning support, and maintenance.

Transition Strategy

Complete advanced courses in automation, cybersecurity for industrial environments, and pursue leadership/supervisory certifications.

Industry Trends

AI Powered Quality Control

Impact:

Reduces need for manual inspection, shifts roles toward oversight and exception management.

Additive Manufacturing 3D Printing

Impact:

Needs cross-training in digital design and additive process management.

Data Driven Process Optimization

Impact:

Requires skills in manufacturing data interpretation and real-time analytical decision-making.

Greater Customization in Manufacturing

Impact:

Increases demand for trained operators who can manage flexible, small-batch production lines.

Increased Demand for Sustainability Initiatives

Impact:

Pushes training in eco-friendly production and waste reduction.

Integrated Digital Twins

Impact:

Operators need upskilling for virtual machine simulation and predictive maintenance.

Regulatory Focus on Cybersecurity

Impact:

Creates new compliance-driven roles related to industrial data protection.

Remote and Augmented Reality Support

Impact:

Upskilling needed for remote diagnostics and AR-based operations training.

Rise of Collaborative Robots Cobots

Impact:

Blends automation with hands-on work, requiring hybrid technical and communication skills.

Workforce Demographic Shifts

Impact:

Drives new training methods and onboarding for multigenerational workforces.

AI-Resistant Skills

Complex Problem Solving

World Economic Forum Future of Jobs
Skills Type:
Analytical, Human Judgement
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Score:10/10

Process Optimization

ASQ: Continuous Improvement
Skills Type:
Strategic, Technical
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Score:9/10

Quality Control Analysis

Bureau of Labor Statistics
Skills Type:
Analytical, Inspection
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Score:9/10

Alternative Career Paths

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Production Supervisor

Leads production teams, manages workflow, and ensures compliance and efficiency.

Relevance: Leverages leadership, planning, and process improvement expertise.

💻

Quality Control Inspector

Ensures finished structures and assemblies meet codes and client specifications.

Relevance: Employs attention to detail and knowledge of manufacturing standards.

💻

Robotics Technician

Install, maintain, and program robotic systems for manufacturing automation.

Relevance: Builds on machine familiarity and industrial safety knowledge.

Emerging AI Tools Tracker

Fanuc Intelligent Edge Platform
AI-powered analytics and predictive maintenance for industrial robots and CNC machines.
IMPACT:
9/10
ADOPTION:
1-3 years
High in medium-to-large manufacturing plants
Siemens MindSphere
Cloud-based IoT platform for real-time monitoring and AI-driven predictive maintenance.
IMPACT:
8/10
ADOPTION:
Now to 2 years
Widely used in transportation and industrial manufacturing.
Cognex Vision Systems
AI-powered machine vision for production line quality control and defect detection.
IMPACT:
10/10
ADOPTION:
Present-mainstream
Extensive in all major manufacturing sectors

Full AI Impact Report

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