Not Very Resilient
Last Update: 6/19/2026
AI Resilience Score for Forging Machine Operator:
23.7%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forForging Machine Setters, Operators, and Tenders, Metal and Plastic
$49,240 median salary•600 annual openings•SOC Code: 51-4022.00
Forging Machine Setters, Operators, and Tenders, Metal and Plastic are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled "Not Very Resilient" because many of its core tasks, like inspecting parts, adjusting machine settings, and fine-tuning pressure and speed, are exactly the kind of repetitive, data-driven work that AI and automation handle well. The Bureau of Labor Statistics already projects a 7% decline in employment through 2034, and cost-saving technology like AI-guided robotics is expected to reach 70% adoption in high-volume plants by 2026, cutting labor needs significantly.
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This career is labeled "Not Very Resilient" because many of its core tasks, like inspecting parts, adjusting machine settings, and fine-tuning pressure and speed, are exactly the kind of repetitive, data-driven work that AI and automation handle well. The Bureau of Labor Statistics already projects a 7% decline in employment through 2034, and cost-saving technology like AI-guided robotics is expected to reach 70% adoption in high-volume plants by 2026, cutting labor needs significantly.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Forging Machine Operator
Updated Quarterly
How is AI changing Forging Machine Operator jobs?
Right now, AI is reshaping forging, stamping, and molding work mostly by augmenting operators rather than replacing them. On the shop floor, vision systems and machine-learning algorithms are taking over the repetitive parts of inspection and parameter-tuning: AI systems can be integrated with the press controls to automatically adjust parameters like pressure, speed, and lubrication in real-time to compensate for variations in material properties, and AI can analyze part geometries to suggest optimal die designs that minimize stress and reduce springback. In complex welding, casting, and forging, AI-driven inspection is a "beachhead" because it is data-rich, safety-critical, and historically under-automated, while foundry managers are using AI to generate training videos, summarize technical documents, and even analyze production footage to read materials and temperatures [1].
Still, adoption on the line is uneven — a recent industry survey reports that 92% of manufacturing leaders see smart manufacturing as vital, yet most companies remain stuck in pilot mode [2], meaning hands-on setters and tenders are still essential for die changes, repairs, and judgment calls.
Sources
How fast is AI adoption growing for Forging Machine Operator?
Adoption is being pushed forward by labor economics. The U.S. Bureau of Labor Statistics projects employment of metal and plastic machine workers will decline 7% from 2024 to 2034, even as roughly 87,900 openings appear each year from retirements and transfers [3], and nearly 2 million manufacturing jobs — half of all new positions — could be unfilled by the end of the decade, leading many companies to turn to AI and automation to bridge the gap. Cost-wise, AI-guided robotics in metal stamping is projected to cut cycle times 30% and labor 20%, reaching 70% adoption in high-volume plants by 2026 [4].
But adoption will slow in smaller job shops because forging is messy, physical, and full of exceptions — exactly the type of work BCG flags as harder to automate, since tasks requiring significant physical human presence or manual interaction in the real world fall outside current AI capabilities [5]. 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 — meaning the safest path for young workers is to lean into troubleshooting, die maintenance, and data-literate skills that machines still cannot replicate.
Sources
Will AI replace Forging Machine Operator?
In part. We think AI will eventually automate a real share of this work, but hands-on judgment and physical troubleshooting will keep humans in the loop for some time yet.
Our 23.7% AI Resilience Score reflects real exposure. AI is already handling the repetitive parts of this job, adjusting pressure, speed, and lubrication in real time and flagging defects through vision systems [1]. In high-volume stamping plants, AI-guided robotics is projected to cut cycle times and reduce labor needs significantly [4]. The BLS projects employment in this field will decline 7% through 2034 [3], and that trend is unlikely to reverse.
What stays human for now is the messy, exception-heavy work: die changes, repairs, and the judgment calls that arise when materials behave unpredictably. BCG notes that tasks requiring significant physical presence in the real world remain harder to automate [5]. But that window will not stay open forever.
The honest advice for anyone in or entering this field is to treat this job as a launchpad. The skills that hold their value longest are troubleshooting, equipment maintenance, and the ability to read data from automated systems. Those skills transfer directly into robotics technician roles and advanced manufacturing positions where demand is actually growing. Move toward the machines rather than away from them.
Sources
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Latest AI news for Forging Machine Operator
These articles highlight how AI is transforming the careers of forging machine setters, operators, and tenders in metal and plastic. For instance, the AI-FORGE system showcases how robots can enhance precision in metal forming, potentially leading to fewer errors and better product quality. Additionally, the discussion on job automation indicates that while some roles may face risks, understanding AI's applications can empower students to adapt and thrive. Embracing these technologies could lead to new opportunities in a changing landscape, ensuring resilience in their careers.
AI impacts in BLS employment projections
www.bls.gov • 6/20/2026
Mar 11, 2025 — Over the 2023–33 employment projections period, AI is expected to primarily affect occupations whose core tasks can be most easily replicated by ... Read more
Shop Floor Jobs Facing 'Imminent' Automation
www.manufacturing.net • 6/20/2026
Apr 15, 2026 — Forging machine setters, operators and tenders, metal and plastic, 87%, 8,760, $49.2K ; Grinding and polishing workers, hand, 86%, 11,850, $41.7K. Read more
Will AI Replace Metal & Plastics Processing Jobs?
jobzonerisk.com • 6/20/2026
See which metal & plastics processing roles are most at risk from AI. Evidence-based scores and practical recommendations for every assessed role.
AI-FORGE Robot Demonstrates Incremental Metal Forming
www.mobilityengineeringtech.com • 6/20/2026
May 11, 2023 — The AI-FORGE system offers a solution that is analogous to a human metalworker using heat and pressure to robotically forge replacement parts. Read more
AI and Its Applications in Metal Forming
metalformingexpo.com • 6/20/2026
Enhanced Precision: AI ensures a higher degree of accuracy in metal forming processes, reducing errors and improving product quality. Predictive Maintenance: AI ... Read more
More Career Info
Career: Forging Machine Setters, Operators, and Tenders, Metal and Plastic
They shape metal and plastic parts by setting up and running machines, making sure each piece is made correctly and safely.
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Employment & Wage Data
Median Wage
$49,240
Jobs (2024)
8,800
Growth (2024-34)
-18.9%
Annual Openings
600
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
Set up, operate, or tend presses and forging machines to perform hot or cold forging by flattening, straightening, bending, cutting, piercing, or other operations to taper, shape, or form metal.
2
Select, align, and bolt positioning fixtures, stops and specified dies to rams and anvils, forging rolls, or presses and hammers.
3
Repair, maintain, and replace parts on dies.
4
Install, adjust, and remove dies, synchronizing cams, forging hammers, and stop guides, using overhead cranes or other hoisting devices, and hand tools.
5
Trim and compress finished forgings to specified tolerances.
6
Remove dies from machines when production runs are finished.
7
Position and move metal wires or workpieces through a series of dies that compress and shape stock to form die impressions.
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.
