# Will fabric cutters be replaced by AI? Updated October 2026 Fabric cutters score 31 out of 100 for AI exposure. AI helps with 48% of their task time, and they stay in charge. AI can do another 7%. 45% needs a person. - **7%** AI can do it - **48%** AI helps - **45%** Needs a person Moderate exposure Lower than 60% of the 923 jobs we scored. ## Task by task We graded 18 tasks, most exposed first. AI can do 1 of them, helps with 8 and leaves 9 to people. | Task | AI exposure | | --- | --- | | Record information about work completed and machine settings. Logging work and settings is routine digital data entry. | 80% AI can do it | | Notify supervisors of mechanical malfunctions. Sensors and software can send alerts, though a person still reports. | 55% AI helps | | Program electronic equipment. AI assistants can draft cutter programs and code, then a person verifies. | 50% AI helps | | Study guides, samples, charts, and specification sheets or confer with supervisors or engineering staff to determine set-up requirements. AI can summarize specs and charts, but setup decisions stay with people. | 45% AI helps | | Inspect products to ensure that the quality standards and specifications are met. Vision tools can flag defects, but a person still handles and checks parts. | 35% AI helps | ## How fabric cutters compare All jobs (923) Production (107) The dark line is **fabric cutters, at 31**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 22 for production. ## Pay and outlook in the US Median pay $38,760 a year, May 2025 People employed 9,000 in the US, May 2025 Projected change in jobs \-13.6% from 2024 to 2034 ## Skills to build - Run test cuts to verify blade and knife adjustments - Verify nesting layouts from HAISEN SoftWare System before cutting - Check drafted cutter patterns in Autodesk AutoCAD - Keep machine settings records accurate in SAP software - Track cutting yield and waste per run in Microsoft Excel - Inspect cut parts against specification sheets before release ## Safer roles nearby 5 related jobs with lower scores. - [Cutting machine operators22 out of 100](https://www.aigentcy.com/ai-exposure/cutting-machine-operators/) - [Paper goods machine operators16 out of 100](https://www.aigentcy.com/ai-exposure/paper-goods-machine-operators/) - [Woodworking machine operators16 out of 100](https://www.aigentcy.com/ai-exposure/woodworking-machine-operators/) - [Grinding machine operators21 out of 100](https://www.aigentcy.com/ai-exposure/grinding-machine-operators/) - [Press operators18 out of 100](https://www.aigentcy.com/ai-exposure/press-operators/) ## Questions about fabric cutters and AI Will AI replace fabric cutters? Partly. About 3 in 10 working hours go to tasks AI can already do, mostly logging work and machine settings and drafting cutter programs. Placing fabric layers, threading machines, and cleaning equipment stay with people because they need hands on the machine. Which tasks will AI take from fabric cutters? Recording work completed and machine settings scores highest, at an exposure of 80, because it is routine digital data entry that software can log automatically. Sensors and software will also send malfunction alerts, and AI assistants can draft cutter programs, though a person still verifies the code before a run. Which tasks stay human for fabric cutters? Cleaning, oiling, and lubricating machines has an exposure of 3 because it is purely physical work. Threading fabric and yarn through guides and needles, at exposure 5, needs manual dexterity. Inspecting machinery to decide whether repairs are needed, at exposure 15, needs hands on the equipment. How do fabric cutters stay valuable? Stay on the hands-on work and become the person who checks what software produces. Verify nesting layouts from HAISEN SoftWare System before placing fabric, check drafted cutter programs in Autodesk AutoCAD, and review SAP settings logs for errors. Use Microsoft Excel to track yield and waste per run. ## Related jobs - [Hand cutters16 out of 100](https://www.aigentcy.com/ai-exposure/hand-cutters/) - [Milling machine operators29 out of 100](https://www.aigentcy.com/ai-exposure/milling-machine-operators/) - [Adhesive bonding machine operators22 out of 100](https://www.aigentcy.com/ai-exposure/adhesive-bonding-machine-operators/) - [Machine feeders20 out of 100](https://www.aigentcy.com/ai-exposure/machine-feeders/) ## Next steps for fabric cutters - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of fabric cutters, and what they cost. [Estimate what AI saves a team of fabric cutters](https://www.aigentcy.com/tools/team-ai-audit/?role=fabric-cutters) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Roustabouts score lowest, at 6.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Sources and licences Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.