Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Stockers & Order Fillers:
46.2%
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
AI Resilience Report forStockers and Order Fillers
$37,090 median salary•472,300 annual openings•SOC Code: 53-7065.00
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 labeled "Somewhat Resilient" because automation is genuinely reshaping a big chunk of this work, but it has not eliminated the need for humans yet. Companies like Amazon are deploying robots to handle repetitive tasks like stowing and transporting goods, and internal plans suggest hundreds of thousands of jobs could shift over the next decade.
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Stockers and order fillers are labeled "Somewhat Resilient" because automation is genuinely reshaping a big chunk of this work, but it has not eliminated the need for humans yet. Companies like Amazon are deploying robots to handle repetitive tasks like stowing and transporting goods, and internal plans suggest hundreds of thousands of jobs could shift over the next decade.
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Stockers & Order Fillers
Updated Quarterly
How is AI changing Stockers & Order Fillers jobs?
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.
Sources
How fast is AI adoption growing for Stockers & Order Fillers?
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.
Sources
Will AI replace Stockers & Order Fillers?
Not entirely. We think AI will take over some tasks, but not the whole job.
Warehouse robots are already handling a lot of the repetitive lifting and moving. Amazon alone has deployed over a million robots to stow, pick, and transport goods [1], and nearly half of warehouses and plants were using robotics as of 2025. That kind of automation is real, and it is reshaping what a stocker or order filler actually does day to day.
But reshaping is not the same as replacing. The U.S. Bureau of Labor Statistics projects this occupation will grow by 8% through 2034, adding around 235,000 jobs [2], largely because buy-online-pickup-in-store keeps creating new picking work. The tasks that stay human are the ones that matter most: troubleshooting equipment, handling unusual items, using judgment in messy real-world situations, and helping customers. Retail executives have framed AI as a productivity tool more than a headcount cutter, with workers moving toward roles like bot technicians rather than being shown the door.
Our 46.2% AI Resilience Score reflects a career that faces genuine pressure, especially on wages and long-term earning flexibility. The World Economic Forum expects AI to create more jobs than it eliminates globally [3], but workers who build tech-adjacent skills will be far better positioned than those who wait and see.
Sources
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Latest AI news for Stockers & Order Fillers
These articles highlight the evolving landscape for Stockers and Order Fillers in the age of AI. While some reports indicate potential job losses, such as the one noting that around 200,000 Texas jobs could be affected, others suggest that this career path shows resilience. The AI Resilience Report indicates that Stockers and Order Fillers may be more adaptable to AI changes than many other occupations. Understanding these dynamics allows students to prepare for potential shifts, emphasizing the importance of ongoing training and adaptability in their future careers.
How Retrainable are AI-Exposed Workers?
www.benhyman.com • 6/20/2026
by B Hyman · 2026 · Cited by 8 — We find that workers in AI-exposed occupations are surprisingly resilient in adjusting to AI pressures through job training. ... Stockers and ... Read more
Incorporating AI impacts in BLS employment projections
www.bls.gov • 6/20/2026
by C Machovec · Cited by 17 — The 2023–33 BLS employment projections incorporate AI-related impacts for several occupations for which high exposure to automation is deemed likely.
Stockers and Order Fillers & AI in 2026 | AI Resilience Report
www.airesilience.org • 6/20/2026
Stockers and Order Fillers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Here's how many Texas jobs are at risk of being replaced by AI — according to AI
houston.innovationmap.com • 2/24/2023
ChatGPT seems to have its eyes set on at least 200,000 Texas jobs, according to a new study. The report by UK-based affiliate marketing site...
Growth trends for selected occupations considered at risk from automation
www.bls.gov • 7/13/2022
Breakthroughs in artificial intelligence (AI) and robotics have led to substantial concern that large-scale job losses are imminent.
More Career Info
Career: Stockers and Order Fillers
They organize and restock items on shelves and pick products to fill customer orders, ensuring the store or warehouse runs smoothly.
Parent Careers
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Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued.
2
Keep records of out-going orders.
3
Stamp, attach, or change price tags on merchandise, referring to price list.
4
Requisition merchandise from supplier based on available space, merchandise on hand, customer demand, or advertised specials.
5
Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.
6
Transport packages to customers' vehicles.
7
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.
