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Multiple Machine Tool Setters Operators and Tenders Metal and Plastic

Production Occupations
Nov 11
HIGH

What They Do

Set up, operate, or tend more than one type of cutting or forming machine tool or robot.

AI Impact Overview

This occupation is highly vulnerable to automation and artificial intelligence due to the repetitive, rules-based, and physically demanding nature of machine setting, operation, and tending tasks.

AI Analysis

Detailed Analysis

AI-driven robotics, computer numerical control (CNC) advancements, and integrated manufacturing systems are increasingly automating the setup, operation, and monitoring of metal and plastic machining processes. While demand for skilled operators persists in supervising, programming, and troubleshooting these systems, the number of roles requiring manual or semi-manual operation is expected to decline significantly, particularly in larger manufacturing environments. Adaptation through upskilling and transition to more technology-oriented roles will be essential for continued career viability.

Opportunity

"Embracing upskilling in automation technologies, process optimization, or equipment maintenance can position you for new opportunities as manufacturing evolves. Your hands-on knowledge offers a strong foundation for future roles in the next generation of smart manufacturing."

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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 positions focusing on basic machine operation or tending are at significant risk of being automated as smart manufacturing systems require less human intervention.

M

Mid-level

MODERATE

Operators with additional skills in troubleshooting, equipment setup, or basic programming will be less vulnerable, but risk remains unless technical skills keep pace with advancing technology.

S

Senior Level

MODERATE

Senior personnel capable of overseeing multiple machines, optimizing workflows, or training others are better positioned, but ongoing risk exists if skills do not adapt to emerging supervisory and technology-integration roles.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

Moderate decline in routine roles as manufacturers pilot and deploy semi-automated systems. Demand for operators/adapters who can work with these new systems will remain steady.

Transition Strategy

Pursue foundational courses in automation or robotics; volunteer for technology trials or continuous improvement teams; document machine knowledge to aid future transitions.

5 Years

Medium-term Impact

Job Outlook

Noticeable contraction of manual roles; increased importance of technical, monitoring, and troubleshooting skills. Hybrid human-machine teams become standard in production.

Transition Strategy

Complete certification in industrial automation, seek lateral moves to equipment maintenance or quality assurance, attend industry conferences on smart manufacturing.

7+ Years

Long-term Vision

Job Outlook

Most basic machine tending roles are automated, but new opportunities arise in supervision, integration, and maintenance of AI-enabled systems.

Transition Strategy

Pursue advanced credentials in robotics programming, industrial engineering, or systems integration; apply for supervisory roles; mentor junior staff in technology adaptation.

Industry Trends

Cybersecurity in Connected Factories

Impact:

Rise in connectivity leads to new roles in managing industrial security.

Digital Twins and Simulation

Impact:

Use of digital replicas for process optimization alters skill requirements, with greater focus on data analysis and system management.

FlexibleCustom Manufacturing

Impact:

Shorter production runs require greater adaptability and personalized process knowledge.

Human Centric Automation Initiatives

Impact:

Emphasis on user-friendly systems keeps human operators in key oversight and decision-making roles.

On the Job Upskilling Platforms

Impact:

AI-enabled digital training tools increase opportunities for rapid re-skilling within the workforce.

Predictive Maintenance via AI

Impact:

Shift from reactive repairs to AI-assisted preventive maintenance, increasing demand for tech-savvy maintenance staff.

Smart Manufacturing and Industry 40

Impact:

Increasing deployment of interconnected and automated production systems reduces demand for manual machinist roles but creates new tech-enabled jobs.

Supply Chain Automation

Impact:

Automation expands beyond the shop floor, impacting materials handling and coordination roles.

Sustainability and Energy Efficiency Initiatives

Impact:

Manufacturers adopt greener processes, opening new career paths in sustainability, process upgrades, and compliance.

Workforce Augmentation with Collaborative Robots

Impact:

Cobots take on repetitive or hazardous tasks, allowing operators to focus on oversight, programming, and quality assurance.

AI-Resistant Skills

Project Management for Manufacturing

Project Management Institute
Skills Type:
Management, Leadership
Learn More
Score:7/10

Critical Troubleshooting and Problem Solving

World Economic Forum - Skills Outlook
Skills Type:
Cognitive; Technical
Learn More
Score:9/10

Equipment Maintenance and Reliability Engineering

U.S. Bureau of Labor Statistics
Skills Type:
Technical; Engineering
Learn More
Score:9/10

Alternative Career Paths

💼

Safety Compliance Officer

Oversees regulatory compliance and operational safety in transportation industries.

Relevance: Applies compliance knowledge within a changing tech environment.

💼

Production Supervisor

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

Relevance: Builds from operational experience and develops people management skills.

💻

Industrial Automation Technician

Implements and troubleshoots robots, sensors, and AI systems in manufacturing plants.

Relevance: Utilizes experience with machines and newer automation technologies.

Emerging AI Tools Tracker

Siemens MindSphere
Industrial IoT platform with embedded AI for machinery analytics and performance optimization.
IMPACT:
9/10
ADOPTION:
Expanding rapidly (1-3 years)
Process industries, large manufacturers
Honeywell Forge for Industrial
AI-driven analytics for plant optimization and remote monitoring.
IMPACT:
8/10
ADOPTION:
2024–2028
Growing in medium and large-scale operations.
Fanuc Intelligent Edge Link and Drive (FIELD) System
Real-time AI analytics and machine learning for CNC and robot operations.
IMPACT:
8/10
ADOPTION:
Now – high-potential growth next 5 years
Deployed in advanced factories and automation hubs.

Full AI Impact Report

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