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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Stockers and Order Fillers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Stockers and order fillers are "Somewhat Resilient" because while the job isn't disappearing, it *is* changing in real and significant ways — especially at major companies like Amazon, which has already deployed over a million warehouse robots and has plans to automate hundreds of thousands of positions over the next decade. The good news is that e-commerce keeps creating new picking and fulfillment work faster than robots can fully take over, and the BLS actually projects the field to *grow* by 8% through 2034.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Stockers and order fillers are "Somewhat Resilient" because while the job isn't disappearing, it *is* changing in real and significant ways — especially at major companies like Amazon, which has already deployed over a million warehouse robots and has plans to automate hundreds of thousands of positions over the next decade. The good news is that e-commerce keeps creating new picking and fulfillment work faster than robots can fully take over, and the BLS actually projects the field to *grow* by 8% through 2034.
Read full analysisAnalysis of Current AI Resilience
Stockers & Order Fillers
Updated Quarterly • Last Update: 5/14/2026

If you've ever wondered whether the people who stock shelves and pack online orders are being replaced by robots, the honest answer is: some of the work is changing, but humans are still very much needed. Walmart's incoming CEO John Furner said at the National Retail Federation's 2026 Big Show that automation is shifting jobs so that workers "were doing really physical jobs, and now they're bot techs," helping people "work with their head more than their back." At the same conference, executives stressed that they're "looking at AI really as a productivity tool more than a replacement of personnel." Inside Amazon, though, the change is more dramatic — the company has deployed over a million warehouse robots like Sequoia, Sparrow, and Proteus [1] that handle stowing, picking, and transporting goods, with leaked internal plans aiming to replace as many as 600,000 jobs by 2033. The U.S. Bureau of Labor Statistics still projects stockers and order fillers will grow by 8% (about 235,000 jobs) from 2024 to 2034 [2], because buy-online-pickup-in-store keeps creating new picking work even as self-checkout reduces cashier tasks.

Adoption is accelerating fast because the tech is suddenly affordable. A 2025 MHI study found 48% of organizations were using robots in plants or warehouses in 2025, up from 23% three years earlier, helped by subscription-based "robotics-as-a-service" plans that let smaller companies skip huge upfront costs. The NRF reports that Gartner projects 40% of enterprise applications will include task-specific AI agents by the end of 2026, with retailers pouring money into inventory and supply-chain automation.
Still, the World Economic Forum estimates AI may eliminate 92 million jobs by 2030 while creating 170 million new ones [3] — a net gain that depends on workers learning new skills. Human strengths like judgment, customer service, troubleshooting broken robots, and handling unusual items are exactly the abilities employers still pay for, so leaning into those skills is a smart move.

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They organize and restock items on shelves and pick products to fill customer orders, ensuring the store or warehouse runs smoothly.
Median Wage
$37,090
Jobs (2024)
2,764,800
Growth (2024-34)
+8.5%
Annual Openings
472,300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued.
Keep records of out-going orders.
Stamp, attach, or change price tags on merchandise, referring to price list.
Requisition merchandise from supplier based on available space, merchandise on hand, customer demand, or advertised specials.
Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
Transport packages to customers' vehicles.
Mark stock items using identification tags, stamps, electric marking tools, or other labeling equipment.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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