Share and intensity of work current AI systems can materially affect.
SOC 51-4111
Tool and Die Makers AI displacement risk
CAD/CAM software and CNC machining have already automated much of routine tool production, which is why this trade shrank. What remains is high-skill work: complex dies, precision fitting, and repair judgment that shops struggle to hire for.
Likely potential for exposed tasks to move to software after workflow integration.
The occupation's decline is long and real, but it has left a scarcity: the average tool and die maker is near retirement, and shops cannot replace their expertise. Precision craft plus CAD fluency is a rare, well-paid combination.
Distribution
Where Tool and Die Makers sits across 620 tracked roles
Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
17 O*NET task statements matched to SOC 51-4111. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $64,050 (May 2025, US national). The latest BLS row matched SOC 51-4111.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Tool and Die Makers
SOC 51-4111 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Tool and Die Makers
The current evidence import matched 17 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks17
SOC51-4111
- Core task / ID 8490
Verify dimensions, alignments, and clearances of finished parts for conformance to specifications, using measuring instruments such as calipers, gauge blocks, micrometers, or dial indicators.
- Core task / ID 8492
Set up and operate conventional or computer numerically controlled machine tools such as lathes, milling machines, or grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes.
- Core task / ID 8491
Visualize and compute dimensions, sizes, shapes, and tolerances of assemblies, based on specifications.
- Core task / ID 8489
Study blueprints, sketches, models, or specifications to plan sequences of operations for fabricating tools, dies, or assemblies.
- Core task / ID 23938
Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using machine tools, hand tools, or welders.
- Core task / ID 8496
Inspect finished dies for smoothness, contour conformity, and defects.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Machine parts to precise specifications
Exposure 34, automation 22%, augmentation 40%.
Fit and assemble dies and tools
Exposure 22, automation 10%, augmentation 32%.
O*NET evidence: Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using ... (ID 23938)
Study blueprints and plan operations
Exposure 48, automation 26%, augmentation 58%.
O*NET evidence: Study blueprints, sketches, models, or specifications to plan sequences of operations f... (ID 8489)
Verify dimensions with precision instruments
Exposure 42, automation 26%, augmentation 52%.
O*NET evidence: Verify dimensions, alignments, and clearances of finished parts for conformance to spec... (ID 8490)
TaskExposureAutomationAugmentation
Machine parts to precise specifications3422%40%
Fit and assemble dies and tools2210%32%
Study blueprints and plan operations4826%58%
Verify dimensions with precision instruments4226%52%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowMold Designer
Training horizon: 6-12 months. Skill overlap 70. Wage preservation signal 116.
- Master mold design software
- Study injection molding processes
- Build a design portfolio
credentialed transition
LowManufacturing Engineer
Training horizon: 12-24 months. Skill overlap 58. Wage preservation signal 128.
- Complete engineering coursework
- Learn process planning
- Apply shop experience to process design
Comparison guides
Compare the next move before you commit
6-12 months
Tool and Die Makers to Mold Designer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Tool and Die Makers into Mold Designer.
12-24 months
Tool and Die Makers to Manufacturing Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Tool and Die Makers into Manufacturing Engineer.
What the AI risk score means for Tool and Die Makers
The displacement pressure score for Tool and Die Makers is 24. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Study blueprints and plan operations carries 26% automation pressure, while Study blueprints and plan operations carries 58% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $64,050 (May 2025, US national). Employment context: Precision tooling craft with an aging, shrinking workforce. Typical education: Apprenticeship or extensive technical training.
Wage vulnerability is 46, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure despite decline
- Workforce scarcity creates leverage
- Craft plus digital skills command premiums
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Tool and Die Makers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Precision machining
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Die fitting and repair
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
CAD/CAM fluency
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Tolerance judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Mold Designer, such as master mold design software.
- By 90 days, compare internal openings and external postings for Mold Designer or Manufacturing Engineer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Tool and Die Makers
Will AI replace Tool and Die Makers?
CAD/CAM software and CNC machining have already automated much of routine tool production, which is why this trade shrank. What remains is high-skill work: complex dies, precision fitting, and repair judgment that shops struggle to hire for. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Tool and Die Makers work are most exposed to AI?
Study blueprints and plan operations and Verify dimensions with precision instruments show the strongest automation pressure in this model. Study blueprints and plan operations and Verify dimensions with precision instruments are better treated as AI-augmented work.
What should Tool and Die Makers learn next?
Start with Precision machining, Die fitting and repair, CAD/CAM fluency. The most practical adjacent paths in this model are Mold Designer and Manufacturing Engineer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics