AI Resilience Report forStockers and Order Fillers

If you've ever wondered whether AI is changing warehouse and stockroom jobs — the answer is yes, but in more nuanced ways than headlines suggest. A large 2025 study covered by Supply Chain Management Review found that more than 90% of warehouses now use some form of AI or advanced automation, and roughly 60% are operating at advanced maturity levels, supporting daily tasks like order picking and routing, inventory accuracy and slotting optimization, predictive maintenance, labor planning and performance monitoring, and safety and ergonomic risk detection. For stockers and order fillers, this often shows up as augmentation rather than full replacement.

At DHL, for example, Modern Materials Handling reported ^[1] that smart glasses tell workers exactly what to pick, where to go and how to complete each task without relying on paper, and training that once took up to two weeks has been reduced to about an hour. On the retail side, the National Retail Federation notes ^[2] that AI now lets retailers automate operations, reroute shipments on the fly and rebalance inventory across their stores — automating the invoice-checking and order-reading tasks first. Full robotic replacement is happening at the biggest players: Fast Company reports ^[3] that at Amazon, the average number of human workers per facility — about 670 — was the lowest it had been in 16 years.

Adoption is moving fast because the economics are strong. The SCMR/MIT study found the typical AI payback period is now two to three years, significantly faster than earlier automation investments, with gains in accuracy, throughput, and labor productivity. Still, the outlook for workers isn't as scary as it sounds.

The U.S. Bureau of Labor Statistics projects ^[4] that stockers and order fillers alone [will account] for about 40 percent of the [transportation and material moving] group's 579,900 job gains over 2024–34, even as warehousing firms are increasingly implementing automation solutions to operate more efficiently, such as warehouse management systems, automated guided vehicles, robots, and AI-based systems. Interestingly, warehouse leaders in the SCMR study say AI adoption is correlated with more hiring and higher worker satisfaction because workers spend less time on repetitive tasks and more time on oversight, troubleshooting, analytics, and exception management. Adoption isn't frictionless, though — barriers include a lack of technical expertise, poor data quality, integration challenges with legacy WMS and ERP systems, high upfront costs, and issues scaling pilots to multiple sites.

The bottom line for young people considering this field: the paperwork and counting tasks are being automated quickly, but human skills like problem-solving, teamwork, coordinating with coworkers, and handling unexpected situations are becoming more valuable, not less.