Evolving

Last Update: 2/18/2026

Your role’s AI Resilience Score is

64.5%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

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.

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

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 analysis

Contributing 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

Learn about this score
Stable iconStable

78.1%

78.1%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

60.6%

60.6%

Anthropic's Economic Index

Evolving iconEvolving

50.5%

50.5%

Will Robots Take My Job

Automation Resilience

Learn about this score
Changing fast iconChanging fast

18.5%

18.5%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

8.5%

Growth Percentile:

89.4%

Annual Openings:

472,300

Annual Openings Pct:

97.5%

Analysis of Current AI Resilience

Stockers & Order Fillers

Updated Quarterly • Last Update: 2/18/2026

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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More Career Info

Career: Stockers and Order Fillers

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

85% ResilienceCore Task

Answer customers' questions about merchandise and advise customers on merchandise selection.

2

70% ResilienceCore Task

Dispose of damaged or defective items, or return them to vendors.

3

70% ResilienceSupplemental

Purchase new or additional stock, or prepare documents that provide for such purchases.

4

65% ResilienceSupplemental

Advise retail customers or internal users on the appropriateness of parts, supplies, or materials requested.

5

60% ResilienceCore Task

Provide assistance or direction to other stockroom, warehouse, or storage yard workers.

6

60% ResilienceSupplemental

Prepare and maintain records and reports of inventories, price lists, shortages, shipments, expenditures, and goods used or issued.

7

60% ResilienceSupplemental

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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