Last Update: 3/13/2026
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 carefully cut and trim materials by hand to create specific shapes or sizes for different products.
This role is evolving
The career of Cutters and Trimmers, Hand is labeled as "Evolving" because AI and robots are starting to help with routine tasks like sorting and inspecting products. However, many detailed jobs, like trimming tiny threads or making complex decisions, still need human skills and judgment.
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
The career of Cutters and Trimmers, Hand is labeled as "Evolving" because AI and robots are starting to help with routine tasks like sorting and inspecting products. However, many detailed jobs, like trimming tiny threads or making complex decisions, still need human skills and judgment.
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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
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
Hand Cutters/Trimmers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
In factories today, some “cut and trim” tasks are already assisted by AI and robots. For example, recycling plants use robotic arms with AI vision to quickly sort different plastics and metals by color or type [1]. In manufacturing, smart cameras and imaging systems check products for flaws – spotting stains or defects that a person might miss earlier on.
A company called Nanotronics even built an AI platform that “identifies anomalies” on factory lines [1]. Some factories now have robots with vision systems that mimic human workers, helping pick up objects or do simple cutting jobs [2]. However, many fine tasks still need people’s judgement.
Trimming tiny threads off a toy or reading complex work orders can be hard to program into a machine. In short, AI and automation help a lot with routine sorting and inspection [1] [1], but detailed trimming and adaptive decisions usually stay with human hands and eyes.

AI in the real world
How fast these shops adopt AI often depends on cost and labor. Buying robots and smart machines costs a lot up front, so companies tend to automate only when they really need to. For example, one toolmaker found it couldn’t hire enough workers in town, so it added robots and vision systems to fill the gap [2].
Economists point out that when wages rise (say, because work moves to a country with higher pay), companies have more reason to invest in automation [3]. By contrast, when labor is cheap or plentiful, they may stick with human workers. Over time, automation can boost productivity and reduce costs, but changes come step by step.
Studies note that even if some workers move on from these jobs, they often find other work – sometimes in better-paying roles [1]. In general, experts say adding AI in factories can be positive if people train new skills. Robots can handle the repetitive work, letting humans focus on creative, flexible tasks.
Young people should remember that machines excel at routine cutting or sorting, but human judgement, creativity, and care are hard to replace [2] [1].

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
Median Wage
$38,800
Jobs (2024)
7,000
Growth (2024-34)
-18.1%
Annual Openings
600
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Count or weigh and bundle items.
Lower table-mounted cutters such as knife blades, cutting wheels, or saws to cut items to specified sizes.
Unroll, lay out, attach, or mount materials or items on cutting tables or machines.
Cut, shape, and trim materials, such as textiles, food, glass, stone, and metal, using knives, scissors, and other hand tools, portable power tools, or bench-mounted tools.
Clean, treat, buff, or polish finished items, using grinders, brushes, chisels, and cleaning solutions and polishing materials.
Replace or sharpen dulled cutting tools such as saws.
Read work orders to determine dimensions, cutting locations, and quantities to cut.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.