Partly, and warehousing is the clearest real-world case of robotics changing manual work at scale. Yet the employment numbers do not show collapse. Federal projections put hand laborers and material movers at 4 percent growth from 2025 to 2035, about as fast as average, adding roughly 288,900 positions to a base of 6,917,800. Median pay was $38,220 in 2025.
That combination surprises people. Automation genuinely is transforming warehouses, and the occupation is still one of the largest and still growing. Understanding why requires separating what robots do well from what they cannot do at all.
Key points
- Movement is automated; handling is not. Robots move shelves, pallets and totes reliably. Picking a single varied item from a mixed bin remains hard.
- Employment grows 4 percent to 2035, adding about 288,900 positions from a base of nearly 7 million.
- E-commerce keeps expanding total volume, which offsets efficiency gains within each facility.
- The work is changing character. Fewer people walking miles per shift, more supervising, exception handling and maintaining machines.
- Injury rates and turnover are the real issues, and automation cuts both ways on them.
What warehouse work actually involves
The job is usually pictured as lifting boxes. In a modern facility it splits into several distinct activities with very different exposure to automation.
Receiving and put-away. Unloading deliveries, checking them against records, moving stock into storage. Partly automated where pallets are standard, still manual where a container arrives loose-loaded.
Picking. Selecting items to fulfil an order. This is the highest-volume activity and the focus of most automation investment.
Packing. Choosing a box, protecting the contents, sealing and labelling. Automated for uniform products, manual for anything varied or fragile.
Loading and dispatch. Building pallets, loading vehicles, managing the outbound flow. Physically demanding and only partly automated.
Exceptions. Damaged stock, mispicks, items that do not scan, returns, anything that has fallen off a shelf or been put in the wrong place. This category is small as a share of items and large as a share of human hours.
Maintenance and supervision. Keeping equipment running, clearing jams, monitoring throughput, managing people. This category grows as facilities automate.
Anyone reading a national projection for this occupation should hold those six activities in mind. A picker in a conventional facility and a technician in an automated one are counted in the same category, and they face opposite pressures. The average tells you almost nothing about either.
Where automation has genuinely succeeded
Warehousing is not a speculative case. The technology is deployed at very large scale, and it works.
Goods-to-person systems bring shelving units to a stationary worker rather than sending the worker walking to the shelf. This was the single largest change, because walking consumed an enormous share of a picker’s shift. Automated storage and retrieval handles dense storage and pallet movement without human involvement. Autonomous mobile robots navigate around people, carrying totes between zones. Conveyor and sortation systems route parcels at rates no human operation could match. Computer vision reads labels, detects damage and verifies picks. Inventory systems predict stock placement so fast-moving items sit closer to dispatch.
The results are real. Facilities using these systems achieve throughput per worker far above conventional ones, and the physical demand of walking twenty kilometres a shift has largely gone from those sites.
It is worth being precise about what made this possible, because it does not generalise to most other manual work. Warehouses could be redesigned around the machines. Shelving heights, aisle widths, floor flatness and lighting were all changed to suit robots rather than people. Very few workplaces can be rebuilt that way. This is the same reason automation succeeded here and has barely touched construction sites, hospital wards or domestic repair work, all of which happen in buildings designed for humans and impossible to standardise.
Why the jobs did not disappear in proportion
Three things explain the gap between dramatic automation and modest employment change.
Volume grew faster than efficiency. E-commerce expanded enormously over the same period. A facility that needs half the labour per parcel while handling three times the parcels employs more people, not fewer.
Picking varied items is unsolved. A human hand picking a shampoo bottle, a paperback and a bag of screws from a mixed container is doing something robotics has been trying to match for decades. Progress is real and it remains slower, more error-prone and more expensive than a person for general merchandise.
Exceptions scale with volume. Every automated system generates failures. Jams, misreads, dropped items, mislabelled cartons. These are a small percentage of a very large number, and they all need a person.
There is a fourth factor that gets less attention. Automation is capital-intensive, and the cost only pays back at high, predictable volume. A regional distribution centre shipping steady quantities of standard cases justifies the investment. A smaller operation with variable products and seasonal swings often does not, and a great deal of warehousing worldwide falls into that second category. Capability and adoption are different things, and the gap between them is measured in years.
What to know before deciding
| Measure | Hand laborers and material movers, 2025 |
|---|---|
| Median annual pay | $38,220 |
| Number of jobs | 6,917,800 |
| Projected growth, 2025 to 2035 | 4 percent (As fast as average) |
| Projected employment change | 288,900 |
| Typical entry-level education | No formal educational credential |
Three things about that table matter.
The occupation is enormous, close to seven million positions, which is among the largest in the entire handbook. Even modest percentage changes involve very large numbers of people, and turnover generates far more openings each year than growth does.
The pay is low and the entry requirement is nil, which is why this work absorbs people between other jobs and why retention is chronically difficult. Automation has not changed that. In some facilities it has intensified it by raising the pace.
That last point deserves care, because it cuts against the usual framing. Removing the walking from picking sounds unambiguously good, and for the back and feet it is. But walking also provided the only variation in posture and the only natural pause in a shift. Stationary pick stations concentrate repetitive motion into the hands, wrists and shoulders, and they allow the pace to be set by the system rather than by the person. Whether automation improves the working day depends heavily on how the employer configures it.
The adjacent occupations tell a more interesting story. Logisticians are forecast at 18 percent growth with median pay of $82,320. The planning and coordination layer above the warehouse floor is growing far faster than the floor itself, and that is where the career progression sits.
For context on how exposure is measured, the Bureau publishes AI exposure categories for 831 occupations and states plainly that exposure “does not imply job loss, productivity gains, automation probability, or wage effects.”
What actually changes over the next decade
- Walking largely disappears from picking roles in automated facilities, replaced by stationary work at a pick station.
- Pace intensifies. Removing the walking removes the natural recovery time within a shift, which is a genuine ergonomic concern.
- Maintenance roles grow. Every automated facility needs technicians, and these jobs pay considerably more than picking.
- Supervision changes. Managing throughput and exception queues rather than directing people around a floor.
- Facilities consolidate. Automation favours large purpose-built sites, which shifts where the jobs are geographically.
- Seasonal peaks flatten. Automated capacity absorbs some of the peak that used to be met by temporary hiring.
- Measurement gets granular. Automated systems record everything, which makes individual performance visible in a way it never was before and changes how the floor is managed.
Decision framework
Five questions if you work in or are considering warehouse work.
- Is your site automated, automating, or neither? This single fact determines your exposure more than any national figure. Equipment being installed is a visible signal a year or more ahead.
- Which activity do you spend most time on? Picking in a conventional facility is the most exposed. Exceptions, maintenance and supervision are the most durable.
- Can you move toward maintenance? Technicians who keep automated systems running are in demand, paid substantially better, and drawn largely from the existing workforce. Ask whether your employer trains internally, because most do and few advertise it clearly.
- Is this a step or a destination? Warehouse work is a common entry point into logistics coordination, inventory planning and site management, and those roles are growing much faster than the floor.
- Will you learn how the systems work? Understanding why the sortation jams where it does, or why the inventory system placed stock badly, is what turns a picker into a supervisor. Nobody will teach you this directly, and asking is usually enough to get it.
That last point generalises well beyond logistics. Knowing what an automated system is actually optimising for, and where it fails predictably, is a transferable skill. If you want a structured route in, explore Coursiv AI lessons and check current plan details on the official site.
Your next step
If you work in a warehouse now, find out what equipment your site is planning to install over the next two years. That information usually circulates well before it arrives, and it tells you whether your specific role is being redesigned or removed.
It is also worth knowing that automation reshapes where the work is, not just what it is. Purpose-built automated facilities tend to be large, and they get sited where land and transport links allow rather than where the previous smaller warehouses were. For people already working in the sector, the practical consequence is often a longer commute to a bigger site rather than no site at all, and that is a factor worth weighing before it arrives.
Then look at the maintenance and technician roles in your own building. They are frequently filled internally, they pay considerably more than picking, and the training is often provided. In an automating facility that is the most reliable move available from the floor.