Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Tool and Die Makers:
32.6%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forTool and Die Makers
$63,180 median salary•4,700 annual openings•SOC Code: 51-4111.00
Tool and Die Makers are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Tool and die making is labeled "Not Very Resilient" because AI is directly targeting the most valuable parts of the job, including mold design, CAM programming, and even physical tasks like polishing and sheet-metal forming, which were once the core of what made these workers so skilled. The BLS already expects employment to decline as CNC tools and automation reduce demand for the programming and fitting work that fills most of a tool and die maker's day.
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Tool and die making is labeled "Not Very Resilient" because AI is directly targeting the most valuable parts of the job, including mold design, CAM programming, and even physical tasks like polishing and sheet-metal forming, which were once the core of what made these workers so skilled. The BLS already expects employment to decline as CNC tools and automation reduce demand for the programming and fitting work that fills most of a tool and die maker's day.
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Tool and Die Makers
Updated Quarterly
How is AI changing Tool and Die Makers jobs?
Tool and die making is one of those skilled trades where AI is more often a helpful assistant than a replacement — but the assistant is getting smarter every year. According to the U.S. Bureau of Labor Statistics, employment of tool and die makers is expected to decline as advances in automation, including CNC machine tools, reduce demand for certain tasks that these workers do, such as programming how parts fit together [1]. The biggest changes are happening on the digital side of the job — the part where you design dies and write programs.
A trade publication explains that AI-based feature detection promises to automate the intricate design of plastic injection molds and seamlessly generate the feature geometry crucial for automated CAM programming, freeing expert moldmakers from repetitive, error-prone tasks, and even automate entire mold designs and electrode programming with automatic toolpath generation. On the physical side, robots are also creeping into formerly hand-done work: an AI-driven robotic mold polishing system uses machine learning to scan parts and generate the robot's motions [2], and Machina Labs' "RoboCraftsman" can form sheet-metal parts autonomously without any die at all [3]. Still, Deloitte notes that today's AI-driven machines are observers, learners and "true partners" to human workforces [4] — meaning hands-on fitting, scribing and assembly tasks (the lowest-automation jobs on your list) still rely on a skilled human.
Sources
How fast is AI adoption growing for Tool and Die Makers?
Adoption is real but gradual. A persistent skilled-labor crunch is a huge push factor: advancements in CAM and AI are framed as essential to ease skilled-labor shortages in mold shops [2], and SME reports that AI tools like Trumpf's Cutting Assistant already provide real-world benefits, even if the technology is still in its infancy [5]. On the slower side, cost is a big barrier — Manufacturing Dive reports that the transition will be gradual because not all companies can afford to invest in automation, especially small and medium shops where investment capital is scarce [6], and most tool-and-die work happens in exactly those small job shops.
Data readiness is another speed bump: Deloitte argues manufacturers need integrated data systems and modern architectures before AI agents can deliver real value [4]. The encouraging news for young people: Manufacturing Dive notes that traditional assembly roles are declining while demand is growing for technicians who can work with robotics, maintain advanced equipment and use data to keep production running smoothly. Tool and die makers who learn CAD/CAM, CNC programming and robot tending will be the ones AI augments — not replaces.
Sources
Will AI replace Tool and Die Makers?
In part. We think AI will eventually automate a real share of this work, but skilled people who adapt will still have a place in manufacturing.
Our 32.6% AI Resilience Score reflects a real challenge. The design and programming side of tool and die work is already changing fast, with AI-based systems automating mold design, CAM programming, and even robotic polishing [2]. On the physical side, new technology like Machina Labs' sheet-metal forming system can build parts without a die at all [3]. Meanwhile, the BLS projects employment in this field will decline as automation reduces demand for some core tasks [1]. That's a lot of pressure on one career.
The honest path forward is to treat this role as a launching pad, not a destination. Hands-on fitting, troubleshooting, and quality judgment still need a human, and adoption is slowing in small shops where investment capital is tight [6]. But the bigger opportunity is in moving toward the roles AI is creating: technicians who program CNC machines, maintain robotic systems, and use data to keep production running. Tool and die experience is a strong foundation for exactly that kind of work. The skills transfer. The career can too.
Sources
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Latest AI news for Tool and Die Makers
AI is reshaping many careers, including Tool and Die Makers. The article from CBS News highlights that some professions are more exposed to AI, which emphasizes the importance of continuous skill development in this field. Meanwhile, the piece from Rhode Island College suggests that AI can be leveraged to enhance job-seeking processes, allowing students to better showcase their skills. Staying adaptable and embracing AI as a supportive tool can lead to resilience in this evolving landscape, ensuring that Tool and Die Makers remain competitive and relevant.
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More Career Info
Career: Tool and Die Makers
They create and fix special tools and molds used in manufacturing to shape metal and plastic parts accurately.
Parent Careers
Employment & Wage Data
Median Wage
$63,180
Jobs (2024)
55,200
Growth (2024-34)
-10.8%
Annual Openings
4,700
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Lift, position, and secure machined parts on surface plates or worktables, using hoists, vises, v-blocks, or angle plates.
2
Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using machine tools and hand tools.
3
Measure, mark, and scribe metal or plastic stock to lay out machining, using instruments such as protractors, micrometers, scribes, and rulers.
4
File, grind, shim, and adjust different parts to properly fit them together.
5
Design jigs, fixtures, and templates for use as work aids in the fabrication of parts or products.
6
Conduct test runs with completed tools or dies to ensure that parts meet specifications, making adjustments as necessary.
7
Set pyrometer controls of heat-treating furnaces and feed or place parts, tools, or assemblies into furnaces to harden.
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.
