Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Tool and Die Makers:

32.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient tool and die making is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For tool and die makers, five of seven sources had data. AI exposure showed some disagreement: Microsoft rated it low while Will Robots Take My Job rated it high, keeping confidence at medium-high. Both demand and economic signals came back low, pulling the score down despite hands-on craft skills, leaving this career "Not Very Resilient."

AI Resilience Report forTool and Die Makers

$63,180 median salary4,700 annual openingsSOC 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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This role is not very resilient

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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Analysis of Current AI Resilience

Tool and Die Makers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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Will AI replace Tool and Die Makers?

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.

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Latest AI news for Tool and Die Makers

The recommended articles provide valuable insights for Tool and Die Makers navigating the evolving job landscape shaped by AI. For instance, AI's role in predicting tool wear can enhance maintenance strategies, reducing downtime and improving efficiency. However, data indicates that Tool and Die Makers may face more challenges compared to other professions due to AI advancements. Understanding these dynamics can help students prepare for a resilient career by focusing on skills that complement AI technologies in manufacturing. Embracing this change will be crucial for future success in the field.

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

92% ResilienceCore Task

Lift, position, and secure machined parts on surface plates or worktables, using hoists, vises, v-blocks, or angle plates.

2

90% ResilienceCore Task

Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using machine tools and hand tools.

3

85% ResilienceCore Task

Measure, mark, and scribe metal or plastic stock to lay out machining, using instruments such as protractors, micrometers, scribes, and rulers.

4

82% ResilienceCore Task

File, grind, shim, and adjust different parts to properly fit them together.

5

82% ResilienceCore Task

Design jigs, fixtures, and templates for use as work aids in the fabrication of parts or products.

6

80% ResilienceCore Task

Conduct test runs with completed tools or dies to ensure that parts meet specifications, making adjustments as necessary.

7

80% ResilienceCore Task

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.

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