Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They operate and adjust machines to make paper products like napkins or bags, ensuring everything runs smoothly and the products are made correctly.
This role is evolving
This career is labeled as "Evolving" because AI and automation are gradually being integrated into many routine tasks, such as lifting heavy rolls and monitoring production processes. While machines make these tasks easier and more efficient, skilled operators are still essential for handling unexpected situations and making fine adjustments that AI can't manage.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because AI and automation are gradually being integrated into many routine tasks, such as lifting heavy rolls and monitoring production processes. While machines make these tasks easier and more efficient, skilled operators are still essential for handling unexpected situations and making fine adjustments that AI can't manage.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Paper Goods Machine Ops
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Paper‐goods machine operators still do many tasks by hand, but some parts are automated. For example, machines already use conveyor belts and robotic arms to place heavy rolls onto feeders [1]. Modern presses have sensors and controllers so tension, speed, and glue temperatures can be set automatically.
In fact, some factories use AI-driven control systems to fine-tune glue or coating processes and cut waste [2] [2]. Likewise, high-speed cameras and vision systems can flag damaged cartons. Even so, people usually inspect and fix problems when a computer alerts them.
Other tasks – like taking machines apart for repairs or making fine mechanical adjustments – remain very hands-on. Those still require a skilled operator’s judgment and tool‐skills. In short, robotics and AI handle many routine parts of the job (lifting, threading paper, steady control loops), but human workers continue to oversee the line and solve issues when machines see unexpected situations [1] [2].

AI in the real world
Packaging and paper-product companies are showing growing interest in automation. A McKinsey survey found that consumer-goods manufacturers expect a big push into robotics and automation investment [3]. Many plant managers turn to robots when labor is expensive or hard to find [4], or to boost output and cut defects (one factory cut scrap by 56% using smarter controls [2]).
However, new robots and AI systems cost a lot of money and need trained technicians to run them [3]. For a small plant, it can be cheaper to hire a few people than buy an expensive robot. As a result, change is gradual.
Generally, industry accepts automating the toughest or dullest parts of the job (making the work safer and more efficient). At the same time, operators’ skills – like troubleshooting, setting up machines, and quality judgment – stay very important. In a balanced future, AI helps with heavy lifting and constant monitoring, and people focus on creative problem-solving and machine oversight [3] [4].

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Median Wage
$49,390
Jobs (2024)
97,500
Growth (2024-34)
-6.3%
Annual Openings
8,100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Adjust guide assemblies, forming bars, and folding mechanisms according to specifications, using hand tools.
Disassemble machines to maintain, repair, or replace broken or worn parts, using hand or power tools.
Examine completed work to detect defects and verify conformance to work orders, and adjust machinery as necessary to correct production problems.
Remove finished cores, and stack or place them on conveyors for transfer to other work areas.
Measure, space, and set saw blades, cutters, and perforators, according to product specifications.
Install attachments to machines for gluing, folding, printing, or cutting.
Monitor finished cartons as they drop from forming machines into rotating hoppers and into gravity feed chutes to prevent jamming.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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