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Time Machine

Machine Feeders and Offbearers

Scrub through 246years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

2026drag to travel through time
180018251850187519001925195019752000now
2026
Known today as Machine Feeders and Offbearers (BLS SOC 53-7063)
Latest actual · 2024
47K
OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.
Latest actual · 2024
$39,700
Source: BLS-OEWS
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Hand-fed water-powered machinery (early mill era)

    The first generation of water-powered textile machinery, from Samuel Slater's Pawtucket mill (1793) through the Lowell system mills of the 1820s-1850s, required workers to hand-feed raw material onto spindles and frames and to carry away the processed output. These were the original machine feeders: young women and children who managed the interface between the continuous mechanical process and the world of discrete, variable raw materials the machine could not itself pick up and position. The work required constant attention, good hand coordination, and physical stamina, but no formal training. The pace of work was set by the machine, not the worker.

    Effect on the work

    Historians of the Lowell system (e.g., Thomas Dublin, "Women at Work," 1979) estimate that a single mill in the 1840s employed dozens of workers whose primary function was feeding frames and carrying bobbins. The cotton textile mills of New England collectively employed tens of thousands of such workers by 1850.

    Work toolChanging equipment
  • Industrial belt conveyor (first commercial use circa 1868-1892)

    The industrial belt conveyor arrived in the late 1860s (first patented applications for belt conveyors in industrial settings date to the 1860s and 1870s; Thomas Robins developed a series of conveyors for coal and ore handling in the 1890s). Conveyors eliminated the need for workers to carry materials between process stages, but they did not eliminate the machine feeder: someone still had to load the conveyor at one end and unload the machine at the other. The conveyor redistributed human effort rather than eliminating it, concentrating feeders at the input and output points of each processing station. In sawmills, the "green chain" conveyor moved freshly cut lumber away from the saw, but the offbearer who pulled boards from the chain and sorted them by grade remained a human role for another century.

    Effect on the work

    Belt conveyors substantially increased the productivity of material flow in mines, grain elevators, and sawmills without proportionally reducing the number of workers at machine interfaces. They accelerated the pace of work (a conveyor running at a fixed speed set the tempo for the feeder) and tended to increase the physical demands of the remaining manual roles.

    Work toolChanging equipment
  • Vibratory bowl feeder and automatic parts-feeding systems (1930s-1950s)

    The vibratory bowl feeder, developed in its modern form through the 1930s-1950s, was the first technology specifically designed to replace the human machine feeder in high-volume production. A vibrating bowl sorts small parts by orientation and feeds them at a controlled rate to an assembly or processing machine. By the 1950s, vibratory feeders were standard equipment in automotive, electronics, and hardware manufacturing. For feeders working on standard parts in high-volume runs, this technology effectively automated their role; the remaining human feeders concentrated in settings where parts were too large, too varied, or too fragile for vibratory systems. The Dictionary of Occupational Titles (1939 first edition, revised 1949 and 1965) formalized "machine feeder" and "offbearer" as distinct occupational categories during precisely the era when these workers were beginning to be displaced by the technology the categories described.

    Effect on the work

    The spread of automatic parts feeders in the 1940s-1960s contributed to a gradual contraction in the number of workers classified as machine feeders and material handlers, even as total manufacturing employment grew. Employment in this specific function likely declined as a share of manufacturing employment from the late 1940s onward, even before the overall manufacturing downturn.

    Work toolChanging equipment
  • Industrial robots and programmable logic controllers (PLC) at machine interfaces

    The first programmable industrial robots entered US manufacturing in the 1960s (Unimate, developed by George Devol and Joseph Engelberger, was installed at a General Motors plant in New Jersey in 1961). By the 1970s-1980s, robotic arms were performing loading and unloading tasks at stamping presses, injection molding machines, and CNC machining centers. The PLC (programmable logic controller), commercialized after Modicon's 1968 design for GM, gave production engineers a standard platform for coordinating automated feeding sequences without writing custom code for each machine. Acemoglu and Restrepo's 2020 study found that each additional robot per thousand workers reduced employment-to-population ratios by 0.18-0.34 percentage points over the 1990-2007 period, with the effects concentrated in exactly the kind of manual production roles machine feeders occupied. US industrial robot installations grew from a few thousand in the 1970s to over 180,000 units in service by 2007.

    Effect on the work

    Acemoglu and Restrepo (2020) estimated that the arrival of one new industrial robot in a local labor market coincided with an employment drop of approximately 5.6 workers. Machine feeders and offbearers, whose tasks are the precise repetitive physical actions robots are best designed to automate, were disproportionately affected. BLS OEWS data (available from 2000) shows the occupation already counting only around 100,000-130,000 workers in the early 2000s, a fraction of its mid-century scale.

    Work toolChanging equipment
  • Vision-guided robotics, collaborative robots (cobots), and AI-assisted material handling

    The decade from 2010 onward brought three technologies that pushed into the remaining territory where human feeders had survived. Vision-guided robotic arms (using 2D and 3D cameras combined with pick-and-place algorithms) could now handle irregular or varied parts that classic bowl feeders and fixed-program robots could not. Collaborative robots (cobots, pioneered commercially by Universal Robots from 2008) could share workspace with a human worker, making them practical for lower-volume, higher-variety production where a fully automated cell was not economical. And AI-assisted motion planning reduced the programming burden for each new product variant. These three advances compressed the remaining foothold of human machine feeders: the product-variability argument, the fragility argument, and the low-volume argument each became weaker. The main remaining human feeder functions in 2026 are in settings where materials are uniquely unpredictable (irregular bulk solids, food products with natural variation), where capital costs of automation outweigh labor savings at current production volumes, or where liability or safety considerations restrict robotic deployment near people. Employment reached approximately 46,500 by 2024.

    Work toolChanging equipment
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
BLS National Employment Matrix 2024-2034
2034
-13%
BLS Employment Projections industry-occupation matrix, 2024-2034 cycle. The National Employment Matrix projects 46,500 machine feeders and offbearers in 2024 falling to approximately 40,400 by 2034, a decline of about 6,100 positions or -13.0%. This is substantially more pessimistic than the prior 2022-2032 projection cycle (which showed only -0.5%), reflecting updated assumptions about the pace of robotic and automated feeding system adoption in manufacturing. The BLS methodology cites continued productivity gains through robotics, vision-guided material handling, and conveyor automation as the primary structural driver. Approximately 4,700 job openings are projected annually despite the overall decline, due to replacement needs as current workers retire or move to other occupations.
Manufacturers Alliance analysis of BLS 2024-2034 projections
2034
-14.7%
The Manufacturers Alliance reviewed BLS 2024-2034 employment projections for manufacturing occupations and highlighted the deterioration in the outlook for machine feeders and offbearers between the prior (2022-2032) and current (2024-2034) projection cycles: from -0.5% to -14.7% in their analysis. The slight difference from the BLS National Matrix figure (-13.0%) likely reflects a different rounding or reference year used in the Manufacturers Alliance methodology. Both sources agree the occupation is among the fastest-declining in manufacturing over the next decade. The driver is technological: robotics and automated material handling systems advancing into the product-variety and low-volume segments that had previously sustained human feeders.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Frey and Osborne (2013)
2033
93%
of tasks
Gaussian-process classifier on O*NET task features, Oxford Martin School. Frey and Osborne assigned Machine Feeders and Offbearers a 0.93 probability of computerisation, among the highest values in their study of 702 US occupations. The rationale is direct: the core task of picking up a material, positioning it in or on a machine, and removing the output is precisely the repetitive, predictable, perception-and-manipulation task that the Frey-Osborne bottleneck analysis found most susceptible to automation. The only engineering barriers they identified for this role were the irregular-object perception and non-standard-workspace challenges, which have been substantially reduced by the vision-guided robotic systems of the 2010s-2020s. The 0.93 figure here is expressed as an exposure percentage (93%), consistent with the Projection.kind = "exposure" interpretation.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

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

AI is sitting alongside you hereInspect materials and products for defects, and to ensure conformance to specifications.

Inspect materials and products for defects, and to ensure conformance to specifications.[2]

Where your edge is

AI is sitting alongside you hereRecord production and operational data, such as amount of materials processed.

Record production and operational data, such as amount of materials processed.[2]

Where your edge is

AI is sitting alongside you herePush dual control buttons and move controls to start, stop, or adjust machinery and equipment.

Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.[2]

Where your edge is

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The data behind this timeline

On record since1790
Latest tracked employment46,690 (US, 2024)
Latest median pay$39,700 (2024)
Outlook-13% by 2034 (BLS National Employment Matrix 2024-2034)
View all 28 cited data points
YearUS employmentMedian annual paySource
1900500,000n/aESTIMATE
1915n/a$600BLS-HISTORICAL-BULLETIN
1940900,000n/aCENSUS-DECENNIAL
1950n/a$2,600BLS-HISTORICAL-BULLETIN
1970650,000n/aCENSUS-DECENNIAL
1990280,000n/aCENSUS-DECENNIAL
2003159,160$21,980BLS-OEWS
2004149,500$22,210BLS-OEWS
2005145,740$22,330BLS-OEWS
2006150,600$22,640BLS-OEWS
2007143,140$23,880BLS-OEWS
2008144,820$25,570BLS-OEWS
2009129,180$26,290BLS-OEWS
2010119,730$27,000BLS-OEWS
2011110,950$27,020BLS-OEWS
2012105,790$27,120BLS-OEWS
2013106,160$28,310BLS-OEWS
2014104,340$29,290BLS-OEWS
2015100,020$29,440BLS-OEWS
201688,070$28,410BLS-OEWS
201774,350$28,510BLS-OEWS
201866,380$29,560BLS-OEWS
201963,280$31,180BLS-OEWS
202064,240$33,000BLS-OEWS
202160,880$37,010BLS-OEWS
202251,010$38,040BLS-OEWS
202344,500$39,250BLS-OEWS
202446,690$39,700BLS-OEWS
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