Changing fast

Last Update: 2/17/2026

Your role’s AI Resilience Score is

28.0%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Foundry Mold and Coremakers

They create molds and cores used to shape molten metal into various parts and products, ensuring the right size and shape for manufacturing.

This role is changing fast

The career of Foundry Mold and Coremakers is labeled as "Changing fast" because many of the heavy, repetitive tasks, like assembling sand cores and pouring molten iron, are increasingly being done by robots. These machines make the process safer and more consistent, which is attractive to large foundries.

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This role is changing fast

The career of Foundry Mold and Coremakers is labeled as "Changing fast" because many of the heavy, repetitive tasks, like assembling sand cores and pouring molten iron, are increasingly being done by robots. These machines make the process safer and more consistent, which is attractive to large foundries.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

16.0%

16.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

2.2%

2.2%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-25.9%

Growth Percentile:

0.4%

Annual Openings:

900

Annual Openings Pct:

10.2%

Analysis of Current AI Resilience

Foundry Mold & Coremakers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Foundry molding and coremaking has seen growing use of robots for heavy, repetitive work. For example, large robot arms now assemble and move sand cores and mold sections in many modern foundries [1] [1]. In one case, two KUKA robots were installed to accurately pour molten iron into molds [2].

Robots also help finish castings: systems exist for grinding, polishing or cleaning molds without humans. For instance, KUKA developed a robot that uses dry-ice blasting to clean hardened casting molds [3], and other robotic cells now handle grinding and polishing tasks for quality control [4]. These machines improve consistency and safety by taking on the hottest, heaviest steps.

Some tasks remain largely manual. We found no automated systems specifically for spraying parting (release) agent onto sand molds or hand-carving runner and sprue holes. These chores vary a lot with each mold and often rely on a worker’s judgment.

In practice, core assembly and molten pouring are increasingly automated, while spray-apply and fine carving tasks still depend on people’s skill.

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AI Adoption

AI in the real world

Whether foundries quickly adopt AI-driven automation depends on many factors. One limit is cost: these robots are expensive, and foundry moldmakers earn relatively modest wages (around $21.70/hour, per BLS) [5]. Small shops may hesitate to invest in very costly equipment when labor is not highly paid [4] [5].

On the other hand, many foundries face labor shortages and safety pressures. Experts note that automation can ease hard labor and improve consistency [4] [4]. In industries like automotive parts, where quality and speed are critical, this already drives uptake [1] [2].

As these AI/robot systems prove reliable, wider adoption is likely, especially since they can cut scrap and reduce hazards. Still, successful use requires training people to run and maintain the robots [4] [4]. In short, cost and scale make adoption slower for small foundries, but big plants are moving ahead – and human oversight and problem-solving remain important to keep the work safe and precise [4] [1].

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More Career Info

Career: Foundry Mold and Coremakers

Employment & Wage Data

Median Wage

$45,700

Jobs (2024)

12,700

Growth (2024-34)

-25.9%

Annual Openings

900

Education

High school diploma or equivalent

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

65% ResilienceSupplemental

Pour molten metal into molds, manually or using crane ladles.

2

60% ResilienceCore Task

Move and position workpieces such as mold sections, patterns, and bottom boards, using cranes, or signal others to move workpieces.

3

60% ResilienceSupplemental

Rotate sweep boards around spindles to make symmetrical molds for convex impressions.

4

55% ResilienceCore Task

Clean and smooth molds, cores, and core boxes, and repair surface imperfections.

5

55% ResilienceSupplemental

Form and assemble slab cores around patterns and position wire in mold sections to reinforce molds, using hand tools and glue.

6

50% ResilienceCore Task

Sprinkle or spray parting agents onto patterns and mold sections to facilitate removal of patterns from molds.

7

50% ResilienceSupplemental

Position cores into lower sections of molds, and reassemble molds for pouring.

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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