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Extruding Forming Pressing and Compacting Machine Setters Operators and Tenders

Production Occupations
Feb 15
HIGH

What They Do

Set up, operate, or tend machines, such as glass-forming machines, plodder machines, and tuber machines, to shape and form products such as glassware, food, rubber, soap, brick, tile, clay, wax, tobacco, or cosmetics

Employment Impact

United States

57.1K

People employed

Estimated Global

1.1M

Estimated global impact (extrapolated from US market data)

AI Impact Overview

AI and automation pose significant risk to this occupation due to advances in robotics, sensor-driven quality checks, and process automation, leading to likely reductions in manual operator roles but increased value in those who upskill toward technical or supervisory positions.

AI Analysis

Detailed Analysis

Routine operation and basic maintenance of forming, pressing, extruding, or compacting machines are highly vulnerable to automation given developments in robotics, machine vision, and production line monitoring. However, the need for complex troubleshooting, safety oversight, process optimization, and hybrid human-machine collaboration will remain, especially for those prepared to adapt.

Opportunity

"While automation is increasing, proactive upskilling and embracing hybrid man-machine roles can safeguard your career and open up new, higher-value opportunities within advanced manufacturing."

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AI Risk Assessment

Risk level varies by experience level

J

Junior Level

HIGH

Entry-level operators performing repetitive or manual tasks face high automation risk. There is a strong likelihood of job loss or role change unless upskilling or lateral moves are pursued.

M

Mid-level

MODERATE

Mid-level operators with supervisory or troubleshooting experience will be safer short-term but should expect technology to impact workflows and must proactively acquire digital literacy, automation, and process optimization skills.

S

Senior Level

LOW

Senior roles with responsibility for overseeing production, implementing new technology, or handling complex system issues are insulated, provided skills are updated to manage, train, or interface with automated systems.

AI-Driven Job Forecasts

2 Years

Near-term Outlook

Job Outlook

Stable for technologically adept operators, with growing use of AI/automation for specific repetitive processes, creating moderate reduction in entry-level positions.

Transition Strategy

Take introductory courses in robotics and automation, seek out mentorship, participate in cross-training, shadow maintenance technicians.

5 Years

Medium-term Impact

Job Outlook

Increased automation will standardize more repetitive tasks. Operators must support, calibrate, or repair automated equipment; fewer roles will be available for manual task-only operators.

Transition Strategy

Earn certifications in industrial maintenance or automation, join industry associations, network with process engineers, explore apprenticeships in mechatronics.

7+ Years

Long-term Vision

Job Outlook

Most routine operator roles likely fully automated. Remaining positions emphasize hybrid human-AI supervision, systems analysis, and oversight. Workers with digital, technical, and managerial skills will be well-positioned.

Transition Strategy

Pursue associate or bachelor degrees in industrial technology, obtain Lean Six Sigma certification, advance into roles in process design, quality assurance, or factory automation management.

Industry Trends

AI Driven Predictive Maintenance

Impact:

Fewer breakdowns and less manual troubleshooting required, but need for digital diagnostic and maintenance skills rises.

Digital Twin Adoption

Impact:

Operators will interact with virtual models of production systems, requiring skills in simulation and digital monitoring.

Human Machine Collaboration

Impact:

Collaborative robots (cobots) require operators to develop interfacing and oversight skills.

Industrial Internet of Things IIoT

Impact:

Increases adoption of sensor-driven, connected machinery, reducing hands-on roles while increasing demand for IT-enabled skills.

Integrated Supply Chain Platforms

Impact:

Analytics and automation expand beyond production into logistics, providing new cross-functional roles.

Production Line Flexibility

Impact:

Shorter production runs and greater customization drive a need for adaptive operators and technical multitasking.

Remote and Augmented Reality Support

Impact:

Technicians will increasingly use AR/VR for remote support, requiring digital literacy and adaptability.

Smart Manufacturing Industry 40

Impact:

Accelerates automation, demanding new skills in digital oversight, system integration, and continuous learning.

Sustainable Manufacturing

Impact:

Eco-friendly production practices and regulatory standards drive upskilling in environmental compliance and process optimization.

Workplace Safety Technology

Impact:

More automation and monitoring tech mean fewer physical hazards but increased regulatory demands for oversight and compliance.

AI-Resistant Skills

Complex Problem Solving

World Economic Forum Future of Jobs Report 2023
Skills Type:
Critical Thinking, Engineering Design
Learn More
Score:10/10

Critical Thinking

World Economic Forum: Future of Jobs
Skills Type:
Cognitive, Analytical
Learn More
Score:9/10

Machine Troubleshooting

U.S. Bureau of Labor Statistics
Skills Type:
Technical, Manual Dexterity
Learn More
Score:9/10

Alternative Career Paths

💻

Technical Sales Specialist

Provides technical support and consultation for scientific equipment or food additives.

Relevance: Taps into production knowledge and interpersonal skills.

💻

Quality Control Inspector

Ensures completed work meets regulatory, safety, and client specifications.

Relevance: Increased need for oversight and quality validation in automated environments.

💼

Safety Coordinator

Oversees safety protocols on construction sites, ensures OSHA compliance.

Relevance: Essential to manage changing environments as automation grows.

Emerging AI Tools Tracker

Siemens MindSphere
Industrial Internet of Things platform with AI modules for asset management and predictive analytics in energy systems.
IMPACT:
9/10
ADOPTION:
Current
Adopted by major energy firms
Cognex Vision Systems
AI-powered visual inspection for defect detection and quality assurance.
IMPACT:
9/10
ADOPTION:
Already in use
Broad in major manufacturing plants
Augury
Predictive diagnostics using machine learning to prevent mechanical failures.
IMPACT:
8/10
ADOPTION:
1-2 years
Adopted in advanced manufacturing and utilities.

Full AI Impact Report

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