Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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 evolving
The career of foundry mold and coremakers is labeled as "Evolving" because robots are increasingly taking over heavy and repetitive tasks like assembling sand cores and pouring molten iron, making these jobs safer and more consistent. However, many tasks still require human skill and judgment, like applying release agents and carving specific mold features.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of foundry mold and coremakers is labeled as "Evolving" because robots are increasingly taking over heavy and repetitive tasks like assembling sand cores and pouring molten iron, making these jobs safer and more consistent. However, many tasks still require human skill and judgment, like applying release agents and carving specific mold features.
Read full analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Foundry Mold & Coremakers
Updated Quarterly • Last Update: 2/17/2026

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.

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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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
AI-generated estimates of task resilience over the next 3 years
Pour molten metal into molds, manually or using crane ladles.
Move and position workpieces such as mold sections, patterns, and bottom boards, using cranes, or signal others to move workpieces.
Rotate sweep boards around spindles to make symmetrical molds for convex impressions.
Clean and smooth molds, cores, and core boxes, and repair surface imperfections.
Form and assemble slab cores around patterns and position wire in mold sections to reinforce molds, using hand tools and glue.
Sprinkle or spray parting agents onto patterns and mold sections to facilitate removal of patterns from molds.
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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