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Molding and casting operators

Official title Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (SOC 51-4072)

Also called Injection molding operator, Mold setter, Mold technician, Die cast technician, Diecast machine operator

In brief

In May 2025, BLS counted 150,470 US molding and casting operators, with median pay of $44,350 a year. Of the BLS counts since 2003, the highest was 172,520, in May 2019. The earliest figure here is an estimate of 180,000 from 1946, not measured the same way as today's count. The last full technology era for molding and casting operators: All-electric injection machines + Industry 4.0 IIoT sensors + MES integration, 2000 to 2020.

What the sources say

Official outlook

BLS projects employment to decline 3.4% from 2025 to 2035.

BLS Employment Projections 2025-35

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Molding and casting operators: jobs and pay since 1946 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/51-4072

Chicago

Future History. "Molding and casting operators: jobs and pay since 1946." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/51-4072.

BibTeX

@misc{futurehistory_51_4072, author = {{Future History}}, title = {Molding and casting operators: jobs and pay since 1946}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/51-4072}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

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1850187519001925195019752000now
Country
2026
Known then as Foundry Molder / Coremaker (hand-rammed sand mold era)
Known then as Die Casting Machine Operator / Molder (early mechanized casting era)
Known then as Molding Machine Operator / Casting Machine Operator (post-war plastics and metals era)
Known then as Plastic Injection Molding Operator / Metal Casting Machine Operator (CAD/CNC era)
Known then as Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (BLS SOC 51-4072)
Known today as Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (BLS SOC 51-4072)
Projected to still be called Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (BLS SOC 51-4072)
Data from the May 2025 survey
US Employment
150K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$44,350

≈ $43,213 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1849

J.J. Sturgiss patents the first manually operated piston hot-chamber die-casting device in the United States. The machine was designed to supply cast lead type for newspaper printing. The concept of forcing molten metal under pressure into a fixed die, rather than pouring it into an open sand mold, is the technical origin of the modern casting machine operator role.

Beat · 1872

Isaiah and John Wesley Hyatt patent the first plastic injection-molding machine in Newark, New Jersey, designed to press celluloid into buttons, hair combs, and billiard balls. The machine uses a simple plunger mechanism. This is the direct technological ancestor of the plastic molding machine that today employs the majority of workers in SOC 51-4072.

Beat · 1905

H.H. Doehler patents the first industrial hot-chamber die-casting machine and founds Doehler Die Casting in Brooklyn, NY (later Toledo, OH). His machines can handle zinc, lead, and copper alloys at production volumes. The automotive industry makes die casting commercially essential within a decade: Doehler is a major parts supplier to Ford, GM, and Chrysler by 1930.

Beat · 1927

Czech engineer Josef Pfolak designs the cold-chamber die-casting machine, which separates the molten-metal storage crucible from the injection cylinder, allowing much higher ejection pressures. This makes aluminum and magnesium alloys practical for high-pressure die casting and expands the occupation into lighter-weight aerospace and appliance components.

Beat · 1946

James Watson Hendry invents the extrusion screw injection machine at Jackson and Church in Saginaw, Michigan. The rotating screw pre-melts and homogenizes plastic resin before injection, giving operators control over melt temperature, fill speed, and part quality that the older plunger design could not achieve. Hendry will go on to file over 80 patents in plastics processing. His screw machine becomes the global standard for injection molding and remains so 80 years later.

Beat · 1953

The hotbox core-making system is developed, enabling molds and sand cores to be produced in a single thermally-activated operation rather than requiring separate baking in a core oven. The earlier core oven for individual cores had been patented by Eli Millett in 1887. The hotbox process increases coremaking throughput substantially and is a landmark in the mechanization of what had been skilled hand labor in foundry coremaking.

Beat · 1968

Larry Toriello and Janis Robins introduce the coldbox core process, enabling high-speed core production at room temperature through a chemical binder system that cures with a gas catalyst rather than heat. This dramatically increases coremaking speed and reduces energy costs, and is widely adopted in iron, steel, and aluminum foundries through the 1970s.

Beat · 1970

US plastic production surpasses steel production by volume, marking the crossover point at which plastic injection molding becomes a larger employer in this occupational family than metal casting. The consumer goods boom of the 1960s-1970s (packaging, toys, automotive interiors, appliance housings, electronics) drove the growth. The plastic injection molding machine operator becomes the numerically dominant type within what will eventually be codified as 51-4072.

Beat · 1971

OSHA is established (effective April 1971) and begins enforcing exposure limits for foundry hazards including silica dust, carbon monoxide, and metal fumes. Foundry workers had historically suffered high rates of silicosis from sand-mold work, and the new standards required foundries to invest in ventilation, respiratory protection, and process controls. OSHA later updated silica standards in 2016, further reducing permissible exposure limits from the 1970s thresholds.

Beat · 1991

The American Foundry Society documents approximately 3,200 foundry plants operating in the United States in 1991, down from roughly 6,150 in 1955. The 36-year decline reflects foundry consolidation driven by automation, energy costs, and the shift of some metal casting to overseas suppliers. The contraction of the foundry sector is the primary driver of declining employment in the metal-casting half of this occupational family.

Beat · 2025

ENGEL debuts inject AI at the K 2025 plastics trade fair in October 2025, billing it as the world's first autonomous injection-moulding cell. The system monitors more than 1,000 process parameters in real time and makes automatic adjustments to hit operator-defined quality targets, with setup time dropping from hours to minutes. At the same fair, ENGEL introduces EVA (ENGEL Virtual Assistant), an AI chatbot that answers operators' technical questions in any language and generates customized checklists. The K 2025 debut marks a qualitative shift in the operator role: from hands-on process tuner to target-setter and anomaly responder.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace molding and casting operators? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
-3.4%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 51-4072 (Molding, coremaking, and casting machine setters, operators, and tenders, metal and plastic): 150.0 thousand jobs in 2025, projected 144.9 thousand in 2035, a change of -5.2 thousand (-3.4%). Matrix employment counts all jobs in the occupation, including self-employed workers. The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
Today, in this role

What's changing day to day for molding and casting operators

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereMonitor live dashboards from AI-augmented machine vision systems that inspect every molded part for surface defects (scratches, discolorations, short shots, sink marks) at 99.8%+ accuracy, intervening when the system flags anomalies or when visual cues fall outside automated detection ranges.

Monitor live dashboards from AI-augmented machine vision systems that inspect every molded part for surface defects (scratches, discolorations, short shots, sink marks) at 99.8%+ accuracy, intervening when the system flags anomalies or when visual cues fall outside automated detection ranges.[6],[7]

Where your edge is

Build fluency reading AI quality dashboards and understanding defect classification logic; develop the eye for edge-case defects the vision system misses and the judgment to escalate vs. correct in-run.

AI is sitting alongside you hereQuery the machine's AI assistant (voice or keyboard) for real-time troubleshooting guidance when an unfamiliar fault code appears, then execute the prescribed corrective steps and confirm resolution.

Query the machine's AI assistant (voice or keyboard) for real-time troubleshooting guidance when an unfamiliar fault code appears, then execute the prescribed corrective steps and confirm resolution.[8],[4]

Where your edge is

Treat AI troubleshooting tools as a co-worker rather than a crutch; cross-check AI-prescribed fixes against your own mechanical judgment to catch cases where the system misidentifies the root cause.

AI is sitting alongside you hereReview digital work orders, CAM setup sheets, and quality specifications to configure machine parameters (temperature, pressure, cycle time, shot weight) before each production run, increasingly verified against AI-recommended baselines from the machine control system.

Review digital work orders, CAM setup sheets, and quality specifications to configure machine parameters (temperature, pressure, cycle time, shot weight) before each production run, increasingly verified against AI-recommended baselines from the machine control system.[1],[4]

Where your edge is

Learn to input quality targets into AI-driven control systems rather than manually tuning abstract parameters; understand what the machine is optimizing for so you can catch mis-specified targets early.

Where molding and casting operators go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Industrial Machinery Mechanics

Mold setters and machine operators accumulate deep hands-on knowledge of hydraulic, pneumatic, and electrical machine systems. The shift is natural as AI shrinks the operator-per-machine ratio and plants need fewer operators but more skilled mechanics to maintain increasingly complex automated cells.

What you'd add
  • · Industrial electrical troubleshooting (NFPA 70E, lockout/tagout)
  • · Hydraulic and pneumatic system repair
  • · PLC and HMI basic programming (Allen-Bradley, Siemens)
  • · Welding and fabrication fundamentals
  • · Maintenance planning and CMMS data entry
What it takesSome new skills to pick up
Tools of the era

How has the work of molding and casting operators changed since 1849?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Hand-operated die casting device (Sturgiss 1849, Doehler 1905)

    The manually operated piston hot-chamber casting device patented by Sturgiss in 1849 was built primarily to produce cast lead type for the print trade. The worker operated a lever-driven plunger to force molten metal into a steel mold under modest pressure. This was an incremental shift from fully hand-cast work: the mold was fixed and machine-assisted rather than free-formed in sand. The device could produce "12,000 to 20,000 leads" daily, according to Dr. William Church's earlier 1822 precedent machine, a quantity no hand-pourer could match. For metal-casting workers, the new machine removed the most variable element from the process while demanding new skills in die maintenance, pressure management, and cycle timing.

    Effect on the work

    Machine-assisted die casting multiplied throughput per operator versus hand pouring but required new mechanical aptitude. The workforce remained small through this period; the technology was largely confined to the print trade and small decorative hardware.

  • Industrial hot-chamber and cold-chamber die casting machines (Doehler 1905; Pfolak cold-chamber 1927)

    H.H. Doehler's 1905 patent for an industrial die-casting machine capable of handling zinc, lead, and copper alloys at production volumes transformed the role from a print-trade specialty into a core automotive and consumer-goods manufacturing process. Doehler founded Doehler Die Casting in Brooklyn in 1908, moved to Toledo in 1914 to serve the automotive market, and by 1930 was a major producer of die-cast parts for Ford, General Motors, and Chrysler. In 1918, zinc alloy replaced the older lead-tin blends as the dominant casting material. In 1927, Czech engineer Josef Pfolak designed the cold-chamber die-casting machine, which separated the molten-metal crucible from the injection cylinder, allowing much higher ejection pressures and making aluminum and magnesium alloys practical for casting. By the late 1930s, the die-casting machine operator had become a recognizable production worker in the American industrial Midwest: seated or standing at a fixed machine, pulling levers or turning handwheels to inject, cool, and eject parts at a steady cadence.

    Effect on the work

    The automotive boom of the 1920s created tens of thousands of die-casting machine operator positions in Ohio, Michigan, Indiana, and Illinois. Foundry plant counts rose between 1920 and the mid-1950s, each employing machine operators alongside hand molders and coremakers.

  • Screw injection molding machine (Hendry 1946) + post-war plastics boom

    James Watson Hendry's 1946 invention of the extrusion screw injection machine, developed at Jackson and Church in Saginaw, Michigan, fundamentally changed plastic molding from a tricky plunger-based art into a controllable industrial process. The rotating screw pre-melted and homogenized plastic resin before injecting it, giving the operator far better control over melt temperature, viscosity, and fill speed, which in turn dramatically improved part quality and reduced waste. Hendry later pioneered gas-assisted injection molding for complex hollow parts, accumulating many patents. The screw machine became the global standard for thermoplastic injection molding and remains so today. Combined with the post-war consumer goods explosion (appliances, automotive interiors, packaging, toys), Hendry's machine created an entirely new class of production worker. By the 1970s, plastic production volume had surpassed steel production in the United States.

    Effect on the work

    The screw injection machine multiplied plastic molding production sites rapidly from the 1950s through 1970s. The workforce of plastic molding machine operators grew from near zero in the early 1940s to a substantial share of the combined 51-4072 workforce by 1970. The occupation drew heavily on workers transitioning from other manufacturing sectors, requiring mechanical aptitude but not the deep sand-craft knowledge of foundry molders.

  • Microprocessor-controlled injection and casting machines + CAD/CAM mold design

    The 1980s brought computer-controlled machine operation to both plastic injection molding and metal die casting. Microprocessor-based control units replaced purely mechanical or hydraulic-lever controls, allowing operators to store process recipes (temperature profiles, injection speed curves, cooling times) digitally and recall them for repeat jobs. This was transformative for the mold setter role: setting up a machine for a new job shifted from hours of hand-tuning to loading a saved program and verifying parameters on a screen. CAD and CAM software, widely adopted by mold makers by the late 1980s, enabled complex part geometries that would have been impractical to tool by hand. The automation of parameter storage and recall did not eliminate the machine operator but did raise the baseline technical literacy the job required: operators now needed to read digital displays, interpret alarm codes, and make systematic rather than intuitive adjustments.

    Effect on the work

    Microprocessor controls raised throughput per operator and widened the range of parts one worker could run on a given shift. Industry consolidation accelerated through the 1980s as computer-capable shops won contracts from less-equipped competitors.

  • All-electric injection machines + Industry 4.0 IIoT sensors + MES integration

    The transition from hydraulic to all-electric servo-driven injection-molding machines, which accelerated through the 2000s and 2010s, brought new precision and energy efficiency to the plastic molding side of this occupation. All-electric machines are repeatable to a fraction of a millimeter on injection position, eliminating a class of process variation that operators had previously managed through feel and manual adjustment. Simultaneously, Industrial Internet of Things (IIoT) sensor packages began streaming real-time process data to manufacturing execution systems (MES), giving both operators and plant managers visibility into shot-by-shot quality metrics, cycle times, and machine health signals. The operator's role shifted subtly from hands-on tuning to dashboard monitoring: reading trend charts, responding to alerts, and logging findings rather than turning physical dials.

    Effect on the work

    The 2000s and 2010s saw continued employment decline in 51-4072, driven primarily by offshore production shift to China and Mexico rather than domestic automation alone. US employment in 51-4072 fell between 2000 and 2013.

  • AI closed-loop process control + machine vision quality inspection (ENGEL inject AI 2025, Sentinel Vision)

    The current and emerging era of AI-assisted machine operation represents the deepest change to the operator's job since the introduction of microprocessor controls in the 1980s. ENGEL's inject AI system, debuted at the K 2025 trade fair in October 2025, monitors more than a thousand machine parameters in real time, detects process deviations, and automatically adjusts injection settings to hit operator-specified quality targets, compressing a setup process that once took hours of manual tuning into minutes of target-entry. Sentinel Vision's 100% inline inspection (using Zebra AltiZ 3D profile sensors and deep learning) and LM3 Technologies' AI vision systems automate the visual quality check that operators previously performed manually on sampled parts. The operator's surviving job content concentrates on: managing mold changeovers, responding to physical faults the automated cell cannot self-correct, entering quality targets accurately, and interpreting the AI alerts that flag process anomalies.

    Effect on the work

    BLS projects a decline in 51-4072 employment from 2024 to 2034, a modest number that reflects both continued offshore pressure and the early stages of AI process-control adoption. Autonomous cells capable of running unattended overnight are beginning to appear in high-volume plastic molding plants.

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Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic employment and pay by year

On record since1849
Latest US employment150,470 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$44,350 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook-3.4% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error

In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

  • Canada (NOC 94111)

    Employment, 2020
    15,905, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income, the EXACT SUM of the cited cells for NOC 94111 + 94101 (this US occupation has no single NOC unit-group equivalent), combined as Plastics processing and foundry molding/casting machine operators, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. A sum of cited cells, not an estimate. Statistics Canada Open Licence.
    Median pay, 2020
    C$48,000, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 94111 Plastics processing machine operators, the dominant constituent of the combined Plastics processing and foundry molding/casting machine operators (NOC 94111 + 94101), Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). This is the cited median of the dominant group, not a blend of the constituent medians. Statistics Canada Open Licence.
View all 28 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
1946180,000$2,600Est., FRASER / BLS Bulletin 880 Researched contextReport
1954155,000n/aEst., FRASER / BLS Bulletin 1162 Researched contextReport
1970230,000n/aEst., IPUMS USA Researched contextReport
1990280,000n/aEst., American Foundry Society Researched contextReport
2000265,000n/aEst., O*NET 51-4072.00 Researched contextReport
2003144,140$23,930BLS OEWS May 2003 Official statisticReport
2004156,480$24,180BLS OEWS May 2004 Official statisticReport
2005157,080$25,060BLS OEWS May 2005 Official statisticReport
2006155,670$25,560BLS OEWS May 2006 Official statisticReport
2007147,850$26,430BLS OEWS May 2007 Official statisticReport
2008145,760$27,390BLS OEWS May 2008 Official statisticReport
2009126,840$27,880BLS OEWS May 2009 Official statisticReport
2010114,760$28,160BLS OEWS May 2010 Official statisticReport
2011118,300$28,480BLS OEWS May 2011 Official statisticReport
2012124,440$28,630BLS OEWS May 2012 Official statisticReport
2013124,810$28,450BLS OEWS May 2013 Official statisticReport
2014128,540$28,810BLS OEWS May 2014 Official statisticReport
2015135,550$29,340BLS OEWS May 2015 Official statisticReport
2016145,560$30,480BLS OEWS May 2016 Official statisticReport
2017154,860$31,090BLS OEWS May 2017 Official statisticReport
2018164,110$31,480BLS OEWS May 2018 Official statisticReport
2019172,520$32,130BLS OEWS May 2019 Official statisticReport
2020155,020$33,100BLS OEWS May 2020 Official statisticReport
2021163,210$36,370BLS OEWS May 2021 Official statisticReport
2022165,820$37,050BLS OEWS May 2022 Official statisticReport
2023158,980$38,870BLS OEWS May 2023 Official statisticReport
2024154,820$41,230BLS OEWS May 2024 Official statisticReport
2025150,470$44,350BLS OEWS May 2025 Official statisticReport
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