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Hand laborers and material movers

Official title Laborers and Freight, Stock, and Material Movers, Hand (SOC 53-7062)

Also called Warehouse worker, Material handler, Warehouse associate, Freight handler, Stock handler

In brief

In May 2025, BLS counted 2,950,280 US hand laborers and material movers, with median pay of $40,240 a year. Of the BLS counts since 2003, the highest was 3,008,300, in May 2023, close to the May 2025 count. The earliest figure here is an estimate of 220,000 from 1870, not measured the same way as today's count. The last full technology era for hand laborers and material movers: Amazon acquires Kiva Systems, 2012 to 2020.

What the sources say

Official outlook

BLS projects employment to grow 1.8% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

  • 6% of this job's tasks are exposed to large language models. Not a forecast of job losses. Eloundou and others, 2023
  • 0.85 estimated probability that the whole occupation could be computerised, over an unspecified number of years. Not a forecast of job losses. Frey and Osborne, 2013

Since the 2013 prediction

In 2013, Frey and Osborne put this job's probability of computerisation at 0.85. BLS counted 2,284,650 of these jobs in May 2013 and 2,950,280 in May 2025 (+29%, a change derived by Future History).

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). Hand laborers and material movers: jobs and pay since 1870 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/53-7062

Chicago

Future History. "Hand laborers and material movers: jobs and pay since 1870." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/53-7062.

BibTeX

@misc{futurehistory_53_7062, author = {{Future History}}, title = {Hand laborers and material movers: jobs and pay since 1870}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/53-7062}}, 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.

drag to travel through time
18251850187519001925195019752000now
2026
Known then as Dock laborer / Wharf hand / Roustabout
Known then as Longshoreman / Stevedore / Freight handler
Known then as Warehouseman / Stockman / Shipping clerk (manual)
Known then as Material handler / Freight handler / Warehouse worker
Known then as Warehouse associate / Stock handler / Order picker
Known then as Laborers and Freight, Stock, and Material Movers, Hand (BLS SOC 53-7062)
Known today as Laborers and Freight, Stock, and Material Movers, Hand (BLS SOC 53-7062)
Projected to still be called Laborers and Freight, Stock, and Material Movers, Hand (BLS SOC 53-7062)
Data from the May 2025 survey
US Employment
2.95M
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$40,240
Est.

≈ $39,208 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1864

October 1, 1864: Longshoremen in New York Harbor organize and form what will become the International Longshoremen's Association, the first large-scale labor organization for the men who move freight by hand in American ports. The founding demands: a daily wage floor and abolition of the shape-up, the morning pier-gate auction where foremen picked workers from a crowd and the rest went home without pay. The shape-up system, which subjected workers to what one contemporary described as "a daily humiliation of standing like cattle at auction," survived in some East Coast ports until the landmark federal Bi-State Waterfront Commission Compact of 1953, nearly 90 years after the ILA's founding call for its abolition.

Beat · 1906

The Sears Roebuck and Company opens its massive Chicago mail-order warehouse complex, for a brief moment the largest commercial building in the world, covering 3.4 million square feet and employing over 9,000 workers. The facility is essentially a prototype of the modern fulfillment center: goods received at one end, sorted by product type, picked against customer orders, and shipped by rail and parcel post. Most of the movement is by hand; early gravity-conveyor and pneumatic-tube systems help with small items. Sears has invented the warehouse work model that Amazon will scale 100 years later.

Beat · 1934

July 5, 1934: "Bloody Thursday": San Francisco police and National Guard confront striking West Coast longshoremen at the Embarcadero, killing two workers and injuring dozens. The 83-day general strike that follows paralyzes the entire Bay Area. The settlement creates the International Longshoremen's and Warehousemen's Union (ILWU) and establishes the hiring hall: the union-controlled alternative to the shape-up, where seniority and dispatch systems replace foremen's arbitrary daily selection. The ILWU hiring hall becomes the model for organized port labor on the West Coast and influences subsequent labor relations in inland warehousing.

Beat · 1956

April 26, 1956: The converted tanker Ideal-X departs Port Newark, New Jersey, carrying 58 aluminum truck bodies bolted to its deck, the first container ship voyage. Malcom McLean's innovation reduces the per-ton cost of ocean freight handling by approximately 97% over traditional break-bulk stevedoring. Within 15 years, every major deep-water port in the world is containerizing; dock-labor workforces that required hundreds of longshoremen per ship are replaced by crane operators who can process the same vessel in hours. The ILA fights a decade-long rearguard action, negotiating the 1966 Mechanization and Modernization Agreement to provide guaranteed annual incomes for registered longshoremen, but it cannot stop the containerization that destroys half its membership over the following 20 years.

Beat · 1974

June 27, 1974: OSHA's Powered Industrial Trucks standard (29 CFR 1910.178) takes effect, requiring formal certification for forklift operators, mandatory pre-shift safety inspections, and specific load-capacity ratings. Before this standard, approximately 100 workers per year were killed in forklift accidents and 95,000 more were injured annually in the United States. Forklift certification becomes a formal skilled-trade credential, separating operators (who earn a wage premium) from general hand laborers and creating the first distinct career ladder in the occupation. The certification requirement that OSHA establishes in 1974 is still the primary credential pathway in the occupation 50 years later.

Beat · 2012

March 19, 2012: Amazon announces the acquisition of Kiva Systems for $775 million, at the time, Amazon's largest acquisition. Kiva makes autonomous mobile robots that carry inventory pods to stationary pickers, eliminating the miles of daily walking that characterized warehouse picking. Amazon deploys the first Kiva (rebranded Amazon Robotics) systems in 2014. The acquisition is pulled from the open market; Kiva stops selling to other retailers, forcing competitors to either build their own systems or work with Locus Robotics, GreyOrange, and other AMR startups. It is the moment when warehouse robotics becomes a competitive moat in e-commerce rather than merely a cost-reduction tool.

Beat · 2020

March-April 2020: US COVID-19 lockdowns close retail stores nationwide. E-commerce sales surge 44.5% in Q2 2020, the largest quarterly increase ever recorded. Amazon announces it will hire 175,000 workers immediately: a hiring event larger than most American employers in total. Warehouse workers are designated "essential workers" and continue reporting to facilities during the lockdowns, exposing them to infection risk that sparks major labor-rights organizing activity. The COVID moment simultaneously demonstrates the occupation's centrality to the American economy and its exposure to the working conditions that organized labor had spent 150 years trying to improve: physical injury risk, productivity surveillance, and limited schedule control.

Beat · 2024

BLS National Employment Matrix records 2,988,900 workers in SOC 53-7062: the largest headcount in the occupation's history, and more than any pre-automation analyst had projected at the moment of Amazon's 2012 Kiva acquisition. The 750,000+ robots Amazon operates represent the largest single automation investment ever directed at one occupational category. And yet the workforce grew. The robots changed the job (less walking, faster pace, more machine coordination) without eliminating it. This is the bank-teller-and-ATM story of physical labor: automation that reshapes the work rather than removing it, because demand grew faster than productivity from machines.

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 hand laborers and material movers? 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
+1.8%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 53-7062 (Laborers and freight, stock, and material movers, hand): 2,940.3 thousand jobs in 2025, projected 2,991.9 thousand in 2035, a change of +51.6 thousand (+1.8%). Matrix employment counts all jobs in the occupation, including self-employed workers (1.2% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Frey & Osborne (2013), "The Future of Employment"
2013 study · Probability of computerisation (2013 model)
85%
probability
What this measures

Published appendix value for SOC 2010 53-7062 Laborers and Freight, Stock, and Material Movers, Hand: probability of computerisation 0.85, rank 483 of 702 (rank 1 is least computerisable). Frey and Osborne estimated in 2013, with a Gaussian-process classifier on O*NET variables, how likely the whole occupation is to be technically automatable over "some unspecified number of years, perhaps a decade or two". It is a probability for the occupation, not a share of tasks and not a forecast of jobs lost.

Official statisticReport an error
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
6%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 53-7062.00 Laborers and Freight, Stock, and Material Movers, Hand. Shown: human-rated β = 0.06, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0 and γ (all LLM-assisted) 0.12; GPT-4-rated β 0.04. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for hand laborers and material movers

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

AI is taking this onMove freight, packages, and stock between receiving docks, storage racks, and outbound staging areas using hand trucks, pallet jacks, and counterbalanced forklifts, navigating aisles alongside autonomous mobile robots (AMRs) in hybrid facilities where AMR fleets handle pod transport and human associates handle the final placement and any oversized or irregular items the robots cannot grip.

Move freight, packages, and stock between receiving docks, storage racks, and outbound staging areas using hand trucks, pallet jacks, and counterbalanced forklifts, navigating aisles alongside autonomous mobile robots (AMRs) in hybrid facilities where AMR fleets handle pod transport and human associates handle the final placement and any oversized or irregular items the robots cannot grip.[5]

Where your edge is

In robotics-deployed facilities, your job is no longer about covering distance: it's about handling the items and situations the robots cannot. Develop speed and accuracy on robot-assisted picking stations (units/hour rate metrics are tracked per associate): workers who consistently exceed rate are first in line for lead roles and forklift cross-training. Learn the robot error codes for your facility's AMR fleet so you can clear minor jams yourself rather than waiting for a tech: that's a visible and valued skill.

AI is sitting alongside you herePick individual customer orders from rack locations using WMS-directed workflows, scanning RF handheld or wrist-mounted scanner at each location to confirm pick, following voice-directed (Vocollect) or put-to-light system prompts, meeting unit-per-hour rate targets set by the facility's engineered labor standard, and handling AMR-delivered totes at goods-to-person stations in robotic zones.

Pick individual customer orders from rack locations using WMS-directed workflows, scanning RF handheld or wrist-mounted scanner at each location to confirm pick, following voice-directed (Vocollect) or put-to-light system prompts, meeting unit-per-hour rate targets set by the facility's engineered labor standard, and handling AMR-delivered totes at goods-to-person stations in robotic zones.[11],[2]

Where your edge is

Rate metrics are real and tracked to the individual, in most major DCs, your hourly UPH (units per hour) is visible to your supervisor in real time. Understand the engineered labor standard for your facility and what drives variance: distance to pick face, item weight, and scan-confirm time. Pair assignments (walking a robotic zone vs. a far aisle) affect your rate; being vocal with leads about zone assignment is your lever for consistent performance.

AI is sitting alongside you hereInduct packages onto automated conveyor sort lines, placing individual packages onto induction belts at correct speed and orientation for scanner read, manually scanning label-read failures with handheld scanner for manual divert keying, clearing package jams at scan tunnels within assigned zone, and diverting oversized, damaged, or mis-sorted packages to the appropriate exception lane.

Induct packages onto automated conveyor sort lines, placing individual packages onto induction belts at correct speed and orientation for scanner read, manually scanning label-read failures with handheld scanner for manual divert keying, clearing package jams at scan tunnels within assigned zone, and diverting oversized, damaged, or mis-sorted packages to the appropriate exception lane.[2],[12]

Where your edge is

Sort induction is paced by the belt: you cannot slow it down, and falling behind creates jams that back up to the unload dock. The workers who stay calm under belt-pace pressure, maintain scan accuracy on label reads, and know their exception protocols are the ones supervisors pull to train new associates. Label-read failure rates are tracked by induction station; low miss-rate is a recognized performance metric.

Where hand laborers and material movers go next

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

What each move takes

A direction you could grow

Logisticians

Logisticians (13-1081.00) plan and manage supply chain flows (carrier procurement, inventory positioning, S&OP input, network design) rather than executing physical material movement. The transition from material mover to logistician requires a credential step (associate's or bachelor's degree in supply chain, logistics, or business, or the APICS CLTD certification) and a functional bridge role (shipping/receiving clerk or inventory control analyst). But it is a realistic multi-year path from the warehouse floor: workers who develop WMS proficiency, inventory accuracy discipline, and metric fluency on the floor are genuinely differentiated candidates for coordinator roles that bridge physical execution and planning. BLS projects growth for Logisticians through 2032.

What you'd add
  • · APICS CLTD (Certified in Logistics, Transportation and Distribution): the primary credential for the logistics field, does not require a degree
  • · Supply chain fundamentals: inventory management, transportation modes, demand planning concepts (APICS coursework)
  • · WMS and TMS systems proficiency: beyond floor scan use to reporting, KPI dashboards, and inventory control analysis
  • · Quantitative analysis: Excel (PivotTable, VLOOKUP, basic statistics) for inventory and freight cost analysis
  • · Supply chain associate's degree or SCM coursework from an accredited community college: typical 2-year path while working
What it takesA real upskill, but a natural one
Tools of the era

How has the work of hand laborers and material movers changed since 1820?

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

  • Hand tools + cotton hooks + hand truck (pure muscle era)

    For most of the nineteenth century, moving freight meant moving it with your body. The tools were elemental: a cotton hook (a wooden handle with a steel curve) for maneuvering cotton bales; a hand truck (two wheels, a ledge, and a handle) for tipping and rolling barrels; a hand dolly for crates; rope and muscle for everything else. The gang foreman's job was to assemble men with complementary skills: a hooker who could manage cotton bales, a barrelman who knew how to leverage a cask without rupturing its seams, a header who could read the weight distribution on a stacked pallet of goods. The work was skilled in ways that were not immediately visible to outside observers: a poorly stowed ship's hold could shift cargo in bad weather and capsize the vessel, and a good stevedore gang knew the physics of load distribution as well as any engineer.

    Effect on the work

    Total employment in hand freight labor grew continuously with the expansion of American commerce from 1820 onward. No technology during this era reduced the number of workers needed; growth in trade volume translated directly to growth in the workforce.

  • Clark Tructractor (1917) + hydraulic pallet jack (1939) + conveyor systems

    The Clark Company of Battle Creek, Michigan, built the first gasoline-powered lift truck in 1917 to move materials inside its own factory: a squat, front-loaded vehicle called the Tructractor that could carry loads a man could not. By the 1920s, lift trucks were entering warehouses and freight terminals. The electric-powered counterbalanced forklift followed in the 1930s; by 1939 the hydraulic pallet jack (a simple, low-profile platform on wheels that could slide under a loaded pallet and raise it an inch off the floor for rolling) gave every warehouse worker the ability to move loads of several hundred pounds with modest effort. The pallet itself, standardized in the 1930s and made universal by the logistics requirements of World War II, was the equally important innovation: a wooden platform that could be loaded uniformly, forklift-lifted, and rail-or-truck-shipped as a unit. By the end of World War II, the pallet + forklift combination had fundamentally changed warehouse labor: the pure muscle requirement for moving heavy goods indoors was substantially reduced, and the job began its shift toward machine-assisted material handling.

    Effect on the work

    Forklift adoption did not reduce the total warehouse workforce because it enabled far larger warehouses and far higher throughput. The Sears Roebuck Chicago warehouse complex, for example, expanded dramatically in the 1920s-1940s as mechanized handling made larger buildings viable. What it changed was the skill mix: a certified forklift operator commanded a pay premium over a pure hand laborer, creating the career-ladder structure that still defines the occupation today.

  • Containerization (Malcom McLean, April 26 1956): reshaping port labor

    On April 26, 1956, a converted tanker called the Ideal-X left Port Newark, New Jersey, with many aluminum truck bodies bolted to its deck: the first container ship voyage. Malcom McLean, a trucker-turned-entrepreneur, had calculated that the per-ton cost of moving freight through traditional break-bulk stevedoring was many times the cost of moving it in a standardized container handled by crane. He was right. Within several years, containerization had transformed every major deep-water port in the world. A break-bulk ship that required a gang of many longshoremen working for three weeks to load and unload could now be processed by a small crane crew in a day. The dock-worker workforce in the Port of New York fell between 1955 and 1975. The pattern repeated in every containerized port. Containerization is the original warehouse-robotics story: a technology that was genuinely, verifiably catastrophic for the specific workers it displaced (port longshoremen) while reducing the per-unit cost of goods distribution so dramatically that it enabled the growth of global trade, and with it entirely new categories of inland warehouse and distribution labor.

    Effect on the work

    ILA (East Coast) membership fell between the early 1960s and 1975. ILWU (West Coast) experienced similar proportional declines. The displaced workers received negotiated severance and "registered longshoreman" protections in the landmark 1966 Mechanization and Modernization Agreement, but the jobs did not return. Inland warehouse employment grew substantially during the same period, driven by the retail distribution chains that containerization made economically viable: Walmart's first distribution center opened in 1970.

  • OSHA 29 CFR 1910.178 (1974) + big-box retail distribution centers

    OSHA's Powered Industrial Trucks standard (29 CFR 1910.178), first established June 27, 1974, formalized what had been a chaotic and often deadly corner of American industry. Forklift accidents killed about a hundred workers per year and injured tens of thousands more annually before OSHA standardized certification, inspection, and operating requirements. The 1974 standard required formal operator training, mandatory pre-shift equipment inspections, and specific load-capacity ratings, transforming the forklift operator into a certified skilled-trade rather than anyone who could climb on a seat. Simultaneously, Walmart's distribution center network, pioneered in the 1970s under logistics chief David Glass and enabled by Sam Walton's early adoption of computer-driven inventory systems, was creating the template for the modern large-format distribution center. Where older warehouses were measured in thousands of square feet, the new Walmart DCs ran to hundreds of thousands of square feet, employed hundreds of material handlers, and processed millions of case units per week. The 1980 Motor Carrier Act deregulated trucking, accelerating the buildout of hub-and-spoke distribution networks that required large regional DCs staffed by hand-labor workforces.

    Effect on the work

    OSHA certification requirements raised the wage floor for forklift operators and separated the occupation into certified (better paid, more protected) and non-certified (casual, lower-paid) tiers. Big-box distribution center growth drove sustained employment expansion through the 1980s even as manufacturing-adjacent warehouse work declined with US deindustrialization.

  • Barcode + RF scanner + Warehouse Management System (WMS): the data layer

    The barcode had existed since 1974 (the UPC standard first scanned at a Marsh supermarket in Troy, Ohio, on June 26, 1974), but it took until the late 1980s and early 1990s for radio-frequency handheld scanners connected to mainframe-era Warehouse Management Systems to reach the warehouse floor broadly. The transformation was profound. Before WMS, a warehouse picker navigated by paper pick-list, memory, and experience, knowing roughly where the "sporting goods fast-movers" lived without being told. With an RF scanner and a WMS, a picker could start the job with minimal product knowledge: the system directed every move, confirmed every pick with a scan, and tracked every worker's productivity in real time. Engineered labor standards, productivity targets set by industrial engineers to the unit-per-hour, became universal in large DCs. The WMS didn't reduce employment; it enabled warehouses to scale to sizes that would have been unmanageable without real-time inventory visibility. A 1-million-square-foot distribution center with hundreds of pickers is only possible with a WMS managing the pick waves. The WMS era also introduced voice-directed picking (Honeywell Vocollect, broadly adopted from the early 2000s), which increased hands-free pick accuracy over RF scanner workflows.

    Effect on the work

    WMS adoption enabled much larger warehouses and drove substantial employment growth in the distribution sector through the 1990s and 2000s. It also made individual-worker productivity highly visible and measurable for the first time, intensifying productivity pressure on workers in ways that became a significant labor-relations issue by the 2010s.

  • Amazon acquires Kiva Systems (2012): warehouse robotics at scale

    On March 19, 2012, Amazon announced it would acquire Kiva Systems (a Woburn, Massachusetts robotics company) for $775 million. Kiva had built autonomous mobile robots (orange drive units roughly the size of a Roomba on steroids) that could navigate under wheeled inventory shelving pods and carry entire shelving units to stationary human pickers. The "goods-to-person" concept was not new; automated storage and retrieval systems (AS/RS) had existed in large manufacturing environments since the 1960s. What was new was the scale and the flexibility: Kiva robots used QR codes on the warehouse floor to navigate without fixed tracks, could be deployed in existing buildings without major construction, and could be scaled up by simply ordering more robots. Amazon deployed the first Kiva systems at its fulfillment centers in 2014. By 2024, Amazon had deployed 750,000+ robots across hundreds of sites. Every major competitor (Walmart, Target, FedEx, UPS) moved to acquire or build comparable AMR systems, making warehouse robotics the largest concentrated automation investment ever directed at a single occupational category in American economic history.

    Effect on the work

    Despite 750,000+ robots deployed by Amazon alone, BLS employment for SOC 53-7062 grew from approximately 2.4M (2014) to nearly 3.0M (2024). The robots automated horizontal pod transport, the walking component of picking, but created new demand for workers at goods-to-person stations who could pick at a faster pace from robot-delivered pods.

  • COVID e-commerce surge (2020-21): demand shock overwhelms automation

    In March 2020, US retail stores closed for COVID-19. Consumers who had never ordered groceries, cleaning supplies, or furniture online were suddenly doing so simultaneously. The effect on warehouse labor demand was immediate and overwhelming: Amazon hired 175,000 people in a matter of weeks in spring 2020. FedEx, UPS, Walmart, Target, and every 3PL that handled e-commerce fulfillment hired at scale. The warehouse labor market went from chronically oversupplied to briefly undersupplied; base wages at major DCs rose materially. Kiva robots, now rebranded "Amazon Robotics," could not be manufactured fast enough to keep pace with demand. The occupational employment for SOC 53-7062 hit its historical peak during the 2020-2022 period. This was the moment the "automation will eliminate warehouse jobs" thesis was empirically tested against reality, and the test result was: not yet, not at this growth rate.

    Effect on the work

    BLS recorded substantial year-over-year employment gains for SOC 53-7062 through 2020-2022, consistent with reported hiring surges at Amazon (175,000 in spring 2020 alone) and across the e-commerce supply chain. Real wage gains materialized as the labor market tightened.

  • Next-generation AI picking systems: Sparrow, Sequoia, Symbotic, vision robotics

    By 2023, the warehouse robotics industry had passed through its first phase (AMRs automating transport and walking) and was entering its second: AI-vision systems attempting to automate the actual picking of individual items from unstructured environments. Amazon's Sparrow robot (deployed 2022) uses computer vision and adaptive grasping to handle individual packaged goods, reportedly covering a large share of Amazon's packaged-product SKUs at deployed sites. Sequoia (2023) automates tote induction and stow for uniform-sized items. Symbotic, which went public at a $5.5B valuation in 2022, deploys autonomous case-handling robots in Walmart distribution centers. Berkshire Grey, AutoStore, and Mujin are attacking piece-picking and depalletizing with increasing AI-vision sophistication. The consensus as of 2026: robots are getting closer, but a minority of SKUs (irregularly shaped, soft-pack, extremely light, or fragile) remain stubbornly hard to grip at acceptable speed and error rates. The job has changed radically in its physical geography (less walking, faster pace, more machine-coordinated) without being eliminated.

    Effect on the work

    BLS projects +1.5% employment growth for SOC 53-7062 over 2024-2034 (tens of thousands of net new jobs): flat to modest growth as automation pressure and e-commerce demand increases roughly offset each other. The occupation remains near 3 million workers, the largest single hand-labor occupation in the US economy.

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Laborers and Freight, Stock, and Material Movers, Hand employment and pay by year

On record since1820
Latest US employment2,950,280 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$40,240 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+1.8% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 31 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
1870220,000n/aEst., IPUMS USA Researched contextReport
1900500,000n/aEst., IPUMS USA Researched contextReport
1935700,000n/aEst., US National Archives Researched contextReport
1956900,000n/aEst., US Bureau of the Census Researched contextReport
1970n/a$5,600Est., BLS Historical Wage Data Researched contextReport
19801,500,000n/aEst., BLS Occupational Outlook Handbook Researched contextReport
1990n/a$16,000Est., BLS Occupational Outlook Handbook Researched contextReport
20002,100,000n/aEst., BLS Occupational Outlook Handbook Researched contextReport
20032,255,780$19,930BLS OEWS May 2003 Official statisticReport
20042,390,910$20,120BLS OEWS May 2004 Official statisticReport
20052,363,960$20,610BLS OEWS May 2005 Official statisticReport
20062,372,130$21,220BLS OEWS May 2006 Official statisticReport
20072,363,440$21,900BLS OEWS May 2007 Official statisticReport
20082,335,510$22,660BLS OEWS May 2008 Official statisticReport
20092,135,790$23,110BLS OEWS May 2009 Official statisticReport
20102,024,180$23,460BLS OEWS May 2010 Official statisticReport
20112,063,580$23,750BLS OEWS May 2011 Official statisticReport
20122,143,940$23,890BLS OEWS May 2012 Official statisticReport
20132,284,650$23,970BLS OEWS May 2013 Official statisticReport
20142,400,490$24,430BLS OEWS May 2014 Official statisticReport
20152,487,680$25,010BLS OEWS May 2015 Official statisticReport
20162,587,900$25,980BLS OEWS May 2016 Official statisticReport
20172,711,320$27,040BLS OEWS May 2017 Official statisticReport
20182,893,180$28,260BLS OEWS May 2018 Official statisticReport
20192,953,170$29,510BLS OEWS May 2019 Official statisticReport
20202,805,200$31,120BLS OEWS May 2020 Official statisticReport
20212,729,010$31,230BLS OEWS May 2021 Official statisticReport
20222,934,050$36,110BLS OEWS May 2022 Official statisticReport
20233,008,300$37,660BLS OEWS May 2023 Official statisticReport
20242,982,530$38,940BLS OEWS May 2024 Official statisticReport
20252,950,280$40,240BLS OEWS May 2025 Official statisticReport
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