Not Very Resilient

Last Update: 8/30/2026

AI Resilience Score for Foundry Mold & Coremakers:

31.1%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient foundry mold and coremaker work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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 foundry mold and coremakers, five of eight sources had data. On AI exposure, sources split: Microsoft saw this work as largely human, while Will Robots Take My Job rated it low resilience, with our model landing in the middle. Weak hiring and wage signals pulled the score down, landing this role at "Not Very Resilient" with medium confidence.

AI Resilience Report forFoundry Mold and Coremakers

$48,110 median salary800 annual openingsSOC Code: 51-4071.00

Foundry Mold and Coremakers are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Foundry mold and coremaking is labeled "Not Very Resilient" because many of the hands-on, repetitive tasks at the heart of this job, like core shooting, mold handling, coating application, and cooling cycle management, are being taken over by robots and automated systems at a growing pace. Over 90% of foundries are investing in robotics right now, and newer AI tools can even help machines adapt on the fly without needing to be reprogrammed, which means fewer workers are needed for the physical, routine parts of the work.

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is not very resilient

Foundry mold and coremaking is labeled "Not Very Resilient" because many of the hands-on, repetitive tasks at the heart of this job, like core shooting, mold handling, coating application, and cooling cycle management, are being taken over by robots and automated systems at a growing pace. Over 90% of foundries are investing in robotics right now, and newer AI tools can even help machines adapt on the fly without needing to be reprogrammed, which means fewer workers are needed for the physical, routine parts of the work.

Read full analysis

Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

Analysis of Current AI Resilience

Foundry Mold & Coremakers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Foundry Mold & Coremakers jobs?

If you're wondering whether robots and AI are moving into foundries, the honest answer is: yes, but the change is gradual and mostly focused on the dirtiest, hottest, and most dangerous parts of the job. According to the American Foundry Society's own trade publication, well over 90% of foundries are making capital investments in 2025 and the top category is robotics, and 63% of leaders anticipate automation will have an increasing impact over the next three years, as reported by Modern Casting [1]. Key mold-and-core tasks are being augmented rather than eliminated.

Industry advisors at HowToRobot explain that [2] typical solutions include robotic sand milling, automated core shooters, and 3D sand printing systems that can produce complex molds and cores with tight tolerances, reducing defects and improving casting quality. Aluminum casters describe how robotic mold-handling systems now manage [3] mold indexing, coating application, core placement, cooling cycles, and mold open/close timing, with precise control reducing the risk of flashing, core shift, and inconsistent dimensional accuracy. Newer AI layers are being added too — Foundry Management & Technology reports [4] that AI-enabled vision and reinforcement learning allow robots to perceive, reason, and adapt in real time, reducing reprogramming needs and increasing manufacturing flexibility.

Still, human skill in pattern setup, troubleshooting, and quality judgment remains central.

Reveal More
AI Adoption

How fast is AI adoption growing for Foundry Mold & Coremakers?

Adoption is being pushed forward mainly by a shrinking labor pool. Modern Casting notes that [1] ongoing labor shortages leave foundry leaders no choice but to continue to automate key functions, and Foundry Management & Technology's August 2026 report shows [4] robot and cobot units and order values continued to grow through the first six months of 2026 as manufacturers view automation as a long-term investment in competitiveness. Reshoring policy is another accelerator: one federal contractor profiled by FM&T [4] found that automation reduced hardware lead times from six months to just one and increased production throughput by 2.5 times.

Newer AFS-linked guidance highlights that 3D sand printing lets shops skip patterns entirely [5], reshaping traditional coremaking workflows. But adoption is slowed by the heavy capital cost of robots, the difficulty of integrating them with old equipment, and the fact that many small foundries can't easily justify the investment. The U.S. Department of Labor's O*NET profile [6] still lists 12,700 foundry mold and coremakers employed in 2024 with projected decline of 1% or lower through 2034 — a slow shrink, not a cliff.

For young people, the takeaway is hopeful: hands-on judgment, robot tending, quality inspection, and 3D-printing skills are becoming the most valuable pieces of this craft.

Reveal More
Will AI replace Foundry Mold & Coremakers?

Will AI replace Foundry Mold & Coremakers?

In part. We think AI will eventually automate a real share of this work, but human judgment and hands-on skill will still matter in the foundry of the near future.

Our 31.1% AI Resilience Score reflects a real and growing shift. Robotic sand milling, automated core shooters, and 3D sand printing systems are already reshaping how molds and cores get made [2]. Foundry leaders are leaning into this hard, with labor shortages pushing automation investment higher every year [1]. The job as it exists today will look noticeably different by 2034, and the U.S. Department of Labor projects a slow but steady decline in headcount [6].

That said, this is not a cliff. Pattern troubleshooting, quality inspection, and robot tending still need human eyes and instincts. The skills worth building now are the ones that travel: reading a defect, operating and maintaining automated equipment, and understanding 3D sand printing workflows [5]. Those skills open doors into broader manufacturing, quality control, and industrial automation roles. If you are early in your career, think of this job as a foundation, not a ceiling. The foundry is changing, and the people who change with it will have real options.

Reveal More
Career Village Logo

Help us improve this report.

Tell us if this analysis feels accurate or we missed something.

Share your feedback

Your Career Starts Here

Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Explore careers

Plan your next steps

Get resume help

Find jobs

Career Village Logo

Ask a pro on CareerVillage.org. Free career advice from more than 200,000 professionals.

Latest AI news for Foundry Mold & Coremakers

These articles highlight the evolving role of AI in the foundry industry, showcasing both opportunities and challenges for Foundry Mold and Coremakers. For instance, AI can significantly streamline processes, as seen in a case where a 379-minute task was reduced to just 70 minutes, illustrating potential efficiency gains. Additionally, the AI Risk & Future article indicates that while there is a medium risk of automation, understanding which tasks may be affected can help students future-proof their careers. Embracing AI resilience will be key in adapting to these changes.

More Career Info

Career: 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.

Employment & Wage Data

Median Wage

$48,110

Jobs (2025)

12,700

Growth (2025-35)

-23.0%

Annual Openings

800

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

70% ResilienceCore Task

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

2

65% ResilienceCore Task

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

3

62% ResilienceSupplemental

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

4

60% ResilienceCore Task

Cut spouts, runner holes, and sprue holes into molds.

5

58% ResilienceCore Task

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

6

55% ResilienceCore Task

Position patterns inside mold sections, and clamp sections together.

7

52% ResilienceCore Task

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

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

Built with ❤️ by Sandbox Web

The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.