Manually move freight, stock, luggage, or other materials and load, unload, carry, or position items in warehouses and other settings.
Material handling has progressed from isolated automation toward integrated workflow substitution in structured facilities. Capability, economics and adoption are already strong, making diffusion across less structured facilities the main uncertainty.
Contraction likely by or before 2030
EOL expects contraction by or before 2030 and deeper decline by 2035. The principal reason the mid-horizon range is not lower is continued growth in goods movement, not technological hesitation.
Goods-volume growth is the principal 2035 offset; it weakens over time as marginal throughput becomes capital-scalable.
Integrated workflow automation; goods moved per worker.
Autonomous transport, storage, retrieval, sorting, picking, stowing and palletization already automate large portions of material flow in structured facilities.
Directional summary of whether current evidence pushes EOL toward greater or lesser human labor demand relative to the occupation’s existing structural trajectory. It is categorical, not a probability, percentile, automation share, or mathematical adjustment.
Integrated warehouse automation increasingly allows goods throughput to grow through robotic capacity rather than proportional hand labor, making historical throughput-to-headcount relationships less reliable.
The material-moving labor pool is unusually fluid, with substantial young-worker entry and occupational transfers. If warehouse and logistics automation reduces labor demand, employers can adjust quickly through fewer replacement hires. That reduces the risk of a large delayed entrant surplus, making hiring volumes and refill demand more useful early indicators than layoffs alone.
How EOL analyzes labor supply →