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

Production Occupations
Sep 28
HIGH

AI Impact Overview

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

AI Analysis

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 varies by experience level

J

Junior Level

HIGH

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

M

Mid-level

MODERATE

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

S

Senior Level

LOW

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

Near-term Outlook

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

Medium-term Impact

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

Long-term Vision

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
Learn More
Score:10/10

Process Optimization

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

Safety & Regulatory Compliance Management

OSHA
Skills Type:
Safety ManagementRegulatory
Learn More
Score:8/10

Alternative Career Paths

💼

Production Supervisor

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

Relevance: Operational experience and leadership skills are crucial; advanced manufacturing knowledge preferred.

💻

Quality Control Inspector

Ensures finished structures and assemblies meet codes and client specifications.

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

💻

Field Service Engineer

Provide on-site technical support for complex electrical and electronic equipment across industries.

Relevance: Operational experience plus additional cross-training qualifies candidates for this client-facing role.

Emerging AI Tools Tracker

Cognex In-Sight Vision Systems
AI-powered automated optical inspection for part and quality validation.
IMPACT:
8/10
ADOPTION:
1-3 years
Common in automotive/precision manufacturing.
Seco Machine Monitoring
AI-driven real-time machine health and utilization analytics.
IMPACT:
8/10
ADOPTION:
2-3 years
Growing in smart manufacturing environments.
FANUC FIELD system
Industrial AI/IoT platform connecting robots and CNCs, powering diagnostics and analytics.
IMPACT:
8/10
ADOPTION:
3-5 years
Leading in major industrial automation deployments.

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