📦Paper Goods Machine Setters Operators and Tenders

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

AI Impact Overview

"AI poses a significant risk to the continued employment in this occupation due to automation."

Detailed Analysis

The introduction of AI in production and manufacturing has led to increased efficiency and reduced need for manual operations. Machinery in paper goods production is becoming increasingly automated, reducing the demand for machine setters, operators, and tenders.

Opportunity

"While the impact of AI presents challenges, there are opportunities to adapt by learning new skills and exploring alternative career paths."

AI Risk Assessment

Risk Level by Experience

Junior
HIGH

Junior Level:

Entry-level positions are more vulnerable due to the ease of automation in repetitive tasks.

Mid-level
MODERATE

Mid Level:

Mid-level roles might transition to supervision and maintenance roles that require less manual operation.

Senior
MODERATE

Senior Level:

Senior positions may involve oversight and strategic roles in integrating AI tools, reducing the risk of replacement.

AI-Driven Job Forecasts

2 Years

Job Outlook

Reduction in demand for manual positions but opportunities in AI tool oversight.

Transition Strategy

Develop skills in AI monitoring and equipment maintenance.

5 Years

Job Outlook

Further decline in traditional roles with new roles in AI integration.

Transition Strategy

Focus on acquiring certifications in AI systems management.

7+ Years

Job Outlook

Possibly a robust presence in AI management roles with few traditional roles remaining.

Transition Strategy

Prepare for leadership roles in automated production settings.

Industry Trends

Advanced Machinery Integration

Impact:

Rising need for skills in AI and IoT-enabled machinery.

Data-driven Decision Making

Impact:

Greater emphasis on data skills for process optimization.

Increased Automation

Impact:

Reduction in manual roles and opportunities in automation oversight.

Remote Monitoring

Impact:

Need for skills in remote operations and monitoring tools.

Sustainability Initiatives

Impact:

Demand for eco-friendly production processes and materials.

AI-Resistant Skills

Leadership and Management

Harvard Business Review
Skills Type:
Management
Score:10/10

Critical Thinking

Think Lab
Skills Type:
Problem Solving
Score:9/10

Complex Problem Solving

MIT Sloan School of Management
Skills Type:
Strategy
Score:9/10

Alternative Career Paths

AI Machine Technician

Maintains and monitors AI-driven machinery.

Relevance: Leverages existing machine operation knowledge with new AI skills.

Automation Specialist

Implements and maintains automated processes.

Relevance: Combines knowledge of automation and production environments.

Production Supervisor

Oversees production processes and ensures compliance with safety standards.

Relevance: Uses experience in production to lead teams and improve processes.

Emerging AI Tools Tracker

AI-driven Process Optimization
Uses AI to optimize manufacturing processes.
9/10
CurrentWidespread
Predictive Maintenance Software
Analyzes data to predict equipment failures.
8/10
1-2 yearsGrowing
Robotic Process Automation
Automates repetitive tasks in production.
8/10
5-7 yearsExpanding

Full AI Impact Report

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