Last Update: 2/18/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They organize and restock items on shelves and pick products to fill customer orders, ensuring the store or warehouse runs smoothly.
This role is evolving
This career is labeled as "Evolving" because while AI and robots are starting to handle some routine tasks like moving boxes or scanning inventory, human skills are still crucial for many important parts of the job. Tasks that require judgment, like helping customers or dealing with unexpected situations, are things AI can't easily do.
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 evolving
This career is labeled as "Evolving" because while AI and robots are starting to handle some routine tasks like moving boxes or scanning inventory, human skills are still crucial for many important parts of the job. Tasks that require judgment, like helping customers or dealing with unexpected situations, are things AI can't easily do.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Stockers & Order Fillers
Updated Quarterly • Last Update: 2/18/2026

What's changing and what's not
Some stores and warehouses have begun using robots for basic stocking tasks, but most work is still done by people. For example, Walmart once rolled out tall shelf-scanning robots to check inventory in 500 stores [1]. These bots use sensors to count items and find missing price tags, but humans still do the actual stocking.
In grocery stores, researchers have created AI-driven bagging robots – MIT’s RoboGrocery can pick up and pack common items in bags [2] – though this is still a lab prototype, not a store fixture. In larger distribution centers, robots like Boston Dynamics’ “Stretch” autonomously unload boxes from trucks to speed up receiving goods [3]. This frees workers from heavy lifting in warehouses.
Other tasks in this role are even harder for AI. Tasks like helping co-workers, throwing out damaged goods, or talking to customers require judgment and flexibility. Right now there aren’t AI systems that do those jobs well, so people handle them.
In fact, most customer questions and merchandise advice are still answered by store staff rather than by machines. In short, robots and AI tools can handle some repetitive parts of stocking and packing, but day-to-day decisions and customer help remain human tasks [1] [2].

AI in the real world
Retail chains will adopt AI and robots only if it makes economic sense. Self-checkout machines and inventory scanners already reduce some work – for example, people now scan and bag groceries themselves at many stores [2]. But full robots are still expensive.
In one case, Walmart tried automated shelf robots but later returned to humans because the savings weren’t clear [1]. Experts note that “at scale” and over time the math favors automation [1], so big companies are investing billions. In warehouses with massive shipment volumes, automation is attractive (bots like Stretch handle different package types [3]).
However, small stores have tighter budgets and unpredictable aisles, so changes happen more slowly.
Overall, this field mixes human and machine work. Young workers should know that while robots can do some heavy or routine parts (like moving boxes or packing bags), people bring important skills too. Finding the right item on a crowded shelf, advising a confused customer, or fixing a messy spill are things AI can’t do easily.
In the future, stockers and order fillers may use helpers like inventory apps or smart shelves, but the human touch – careful judgment and friendly service – will still be needed [1] [2]. This means the job won’t disappear overnight. Instead, workers who learn to work with new tools (for example, using a tablet to locate products or helping manage robots) will stay valuable, even as AI makes some tasks easier.

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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
Answer customers' questions about merchandise and advise customers on merchandise selection.
Dispose of damaged or defective items, or return them to vendors.
Purchase new or additional stock, or prepare documents that provide for such purchases.
Advise retail customers or internal users on the appropriateness of parts, supplies, or materials requested.
Provide assistance or direction to other stockroom, warehouse, or storage yard workers.
Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued.
Keep records of production, returned goods, and related transactions.
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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