# Will metal fabricators be replaced by AI? Updated October 2026 Metal fabricators score 11 of 100 for AI exposure. 87% of their task time still needs a person. AI speeds up the other 13%. - **13%** AI helps - **87%** Needs a person Low exposure Lower than 95% of the 923 occupations we scored. ## Task by task We graded 23 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 3 and leaves 20 to people. | Task | AI exposure | | --- | --- | | Study engineering drawings and blueprints to determine materials requirements and task sequences. AI can read drawings and draft materials lists and sequences. | 55% AI helps | | Locate and mark workpiece bending and cutting lines, allowing for stock thickness, machine and welding shrinkage, and other component specifications. AI can compute bend allowances; marking stays manual. | 35% AI helps | | Design and construct templates and fixtures, using hand tools. AI can help design templates; building them is manual. | 22% AI helps | | Verify conformance of workpieces to specifications, using squares, rulers, and measuring tapes. Measurement is physical; AI only logs or checks readings. | 12% Needs a person | | Lay out and examine metal stock or workpieces to be processed to ensure that specifications are met. Physical inspection of stock needs a person on the floor. | 12% Needs a person | ## How metal fabricators compare All occupations (923) Production (107) **Metal fabricators score 11**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 22 for production. ## Pay and outlook in the US Median pay $51,330 a year, May 2025 People employed 52,360 in the US, May 2025 Projected change in jobs \-6.2% from 2024 to 2034 ## Skills to build - Model steel connections and members in Tekla Structures - Build flat patterns and bend allowances in CATIA - Hold an AWS D1.1 structural welding certification - Set up and run CNC brakes, rolls and shears - Check fit-up with squares, rulers and measuring tapes - Write material lists and fabrication checklists in Excel ## Questions about metal fabricators and AI Will AI replace metal fabricators? Partly. About 1 in 10 working hours go to tasks AI can already do, mostly reading engineering drawings for materials and sequences and computing bend allowances. Fitting, tack welding, machine setup and physical measuring stay with people because they need hands on steel. Which metal fabricator tasks is AI taking over? Drawing review and bend-line calculations are going first. AI can read engineering drawings and draft materials lists and task sequences, a task with an exposure score of 55. It can also compute bend allowances for stock thickness and weld shrinkage, a task scoring 35, while the physical marking stays manual. Which metal fabricator tasks stay human? Fitting, tack welding and physical inspection stay human. Aligning parts with jacks, drift pins and hammers scores 3 on exposure, and tack welding also scores 3, because the work happens on physical steel. Fit-up measurement with squares and tapes scores 12, and AI only logs the readings. How can metal fabricators stay valuable? Model work in Tekla Structures and CATIA so you can check AI-generated takeoffs against the 3D model. Hold an AWS D1.1 welding certification, since tack welding and fit-up stay on physical steel in the fabrication bay. Learn CNC brake and shear setups, and verify program bend allowances before cutting steel. ## Related jobs - [Sheet metal workers20 out of 100](https://www.aigentcy.com/ai-exposure/sheet-metal-workers/) - [Structural steel workers15 out of 100](https://www.aigentcy.com/ai-exposure/structural-steel-workers/) - [Toolmakers29 out of 100](https://www.aigentcy.com/ai-exposure/toolmakers/) - [Welders19 out of 100](https://www.aigentcy.com/ai-exposure/welders/) ## Next steps for metal fabricators - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your 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/) ### 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**Cement masons score lowest, at 8.](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**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](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 publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation 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/) 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.