⚙️Lathe and Turning Machine Tool Setters Operators and Tenders Metal and Plastic

HIGH
Category:Production Occupations
Last updated: Jun 6, 2025

AI Impact Overview

"Automation and artificial intelligence are expected to significantly disrupt this occupation, especially for routine and repetitive production tasks."

Detailed Analysis

Operators and tenders who primarily conduct manual or repetitive tasks are at high risk of replacement due to advances in CNC and AI-driven automation technology. However, individuals with skills in machine setup, troubleshooting, process improvement, and advanced maintenance are more likely to retain value, as such human roles complement automation. Upskilling and transitioning to more specialized or supervisory roles will be crucial.

Opportunity

"By proactively expanding their technical skills and adapting to new manufacturing technologies, individuals in this occupation can secure more resilient and higher-value roles."

AI Risk Assessment

Risk Level by Experience

Junior
HIGH

Junior Level:

Entry-level tasks, such as straightforward machine tending and basic operation, are most susceptible to automation, leading to potential job losses.

Mid-level
MODERATE

Mid Level:

Mid-level positions that include some supervision, machine setup, and troubleshooting will see a shift toward hybrid human-machine workflows, with reskilling opportunities.

Senior
LOW

Senior Level:

Senior technicians or supervisors with responsibility for process optimization, equipment integration, or overseeing automated processes remain in demand, with opportunities to lead technology adoption.

AI-Driven Job Forecasts

2 Years

Job Outlook

Incremental automation will lead to reduced hiring for entry-level positions but will not cause large-scale layoffs yet. Demand for skills in machine programming and troubleshooting will increase.

Transition Strategy

Enroll in introductory CNC programming courses, learn basic automation concepts, and participate in company-offered upskilling programs.

5 Years

Job Outlook

AI-driven CNC machines and smart factories become more common, leading to substantial changes in job content. Many routine roles transition to oversight or support functions.

Transition Strategy

Gain certification in industrial automation, seek mentorship in advanced equipment maintenance, and start building a portfolio in digital manufacturing skills.

7+ Years

Job Outlook

Majority of low-skill production positions will be obsolete. Remaining roles emphasize automation oversight, technical troubleshooting, quality assurance, and system integration.

Transition Strategy

Pursue an associate or bachelor’s degree in industrial technology, specialize in robotic integration, or move into process improvement roles.

Industry Trends

Adoption of Smart Factories

Impact:

Factory automation and AI integration automate routine tasks, pushing workforce towards higher-level supervision and problem-solving.

Advanced Safety Monitoring

Impact:

Wearable tech and AI-based safety systems reduce incidents and change compliance requirements.

Connected Supply Chains

Impact:

Production roles must coordinate with digital supply chains, requiring cross-disciplinary collaboration.

Data-Driven Manufacturing

Impact:

Operators increasingly analyze performance and process data, requiring digital literacy and analytical skills.

Digital Quality Assurance

Impact:

Automated inspection replaces manual checks, increasing need for oversight and technical troubleshooting.

Green Manufacturing Initiatives

Impact:

Regulatory and market pressures drive adoption of sustainable processes, opening roles in compliance and process improvement.

Mass Customization

Impact:

Shorter runs and customization increase demand for flexible skills and rapid retooling.

Remote Machinery Monitoring

Impact:

Onsite roles morph to include digital diagnostics; reduces need for continuous physical presence.

Rise of Predictive Maintenance

Impact:

Increases efficiency, reduces downtime, and shifts labor demand to maintenance and diagnostics roles.

Widespread CNC Automation

Impact:

Operators must learn programming and digital workflow skills; purely manual skills decline in demand.

AI-Resistant Skills

Troubleshooting Complex Machinery

National Institute for Metalworking Skills (NIMS)
Skills Type:
Technical Problem SolvingMechanical Diagnostic
Score:10/10

Process Optimization

ASQ - Six Sigma
Skills Type:
Process ImprovementOperational Excellence
Score:9/10

Team Leadership & Communication

LinkedIn Learning
Skills Type:
LeadershipCommunication
Score:8/10

Alternative Career Paths

CNC Programmer

Develops CNC programs for advanced machine tools and oversees digital production processes.

Relevance: Strong foundation in machining and equipment operation makes this transition smooth, especially with additional programming training.

Industrial Equipment Maintenance Technician

Maintains, troubleshoots, and repairs automated machining and production systems.

Relevance: Hands-on mechanical and technical skills from machine operation translate well to maintaining advanced equipment.

Quality Control Inspector

Inspects manufactured parts, ensuring processes and products meet quality standards.

Relevance: Existing experience with part tolerances and standards is valuable; minor upskilling in advanced inspection needed.

Emerging AI Tools Tracker

Siemens Sinumerik ONE
Advanced CNC platform with AI-based adaptive machining, predictive maintenance, and digital twin support.
9/10
2-5 yearsWidespread in new installations; increasing in retrofit markets.
Seco Machine Monitoring
AI-driven real-time machine health and utilization analytics.
8/10
2-3 yearsGrowing in smart manufacturing environments.
Cognex In-Sight Vision Systems
AI-powered automated optical inspection for part and quality validation.
8/10
1-3 yearsCommon in automotive/precision manufacturing.

Full AI Impact Report

Access the full AI impact report to get detailed insights and recommendations.