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# Will warehouse workers be replaced by AI?

Updated October 2026

Warehouse workers score 17 of 100 for AI exposure. 80% of their task time still needs a person. AI speeds up the other 20%.

-   **20%** AI helps
-   **80%** Needs a person

Low exposure

Lower than 85% of the 923 occupations we scored.

## Task by task

We graded 13 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 2 and leaves 11 to people.

| Task | AI exposure |
| --- | --- |
| Record numbers of units handled or moved, using daily production sheets or work tickets. Counts are physical, but logging them can be digitized. | 55% AI helps |
| Read work orders or receive oral instructions to determine work assignments or material or equipment needs. AI reads written orders; oral instructions still need a person. | 40% AI helps |
| Attach identifying tags to containers or mark them with identifying information. Attaching tags physically; AI can only draft label text. | 20% Needs a person |
| Maintain equipment storage areas to ensure that inventory is protected. Physical upkeep and inspection of storage areas on site. | 15% Needs a person |
| Sort cargo before loading and unloading. Physical sorting of cargo; vision aids help only slightly. | 12% Needs a person |

## How warehouse workers compare

All occupations (923)

Transportation and material moving (52)

**Warehouse workers score 17**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 25 for transportation and material moving.

## Pay and outlook in the US

Median pay

$40,240 a year, May 2025

People employed

3.0 million in the US, May 2025

Projected change in jobs

+1.8% from 2024 to 2034

## Skills to build

-   Hold an OSHA forklift operator certification
-   Rig and sling loads to safety standards
-   Strap and brace loads manually
-   Log moves accurately in the Warehouse management system WMS
-   Check counts against work tickets in Microsoft Excel
-   Inspect and maintain storage areas on site

## Safer roles nearby

5 related occupations with lower scores.

-   [Forklift operators10 out of 100](https://www.aigentcy.com/ai-exposure/forklift-operators/)
-   [Hoist operators13 out of 100](https://www.aigentcy.com/ai-exposure/hoist-operators/)
-   [Recycling workers12 out of 100](https://www.aigentcy.com/ai-exposure/recycling-workers/)
-   [Laundry workers13 out of 100](https://www.aigentcy.com/ai-exposure/laundry-workers/)
-   [Mining helpers11 out of 100](https://www.aigentcy.com/ai-exposure/mining-helpers/)

## Questions about warehouse workers and AI

Will AI replace warehouse workers?

Partly. About 2 in 10 working hours go to tasks AI can already do, mostly logging units moved on production sheets and reading written work orders. The physical work of lifting, sorting, and moving freight stays with people.

Which warehouse tasks is AI taking over?

Logging units moved is the most exposed task, with an exposure score of 55. The counts are physical, but the entries on daily production sheets and work tickets can be digitized. Reading written work orders to set assignments scores 40, since AI reads written text well.

Which warehouse tasks stay human?

Lifting, moving, and rigging stay with people. Moving freight to and from docks, trucks, and storage scores 8 on exposure, and attaching slings and hooks to lift cargo scores 5. Installing bracing and strapping to stop loads shifting also scores 5, because each step is done manually on site.

How can warehouse workers stay valuable?

Work in the Warehouse management system WMS so you catch count errors before they reach daily production sheets. Use Microsoft Excel to check totals against work tickets. Then train for rigging and crane signalling, such as a forklift or sling certification, since guiding loads manually stays with people.

## Related jobs

-   [Packers19 out of 100](https://www.aigentcy.com/ai-exposure/packers/)
-   [Packaging machine operators19 out of 100](https://www.aigentcy.com/ai-exposure/packaging-machine-operators/)
-   [Production helpers19 out of 100](https://www.aigentcy.com/ai-exposure/production-helpers/)
-   [Maintenance mechanics20 out of 100](https://www.aigentcy.com/ai-exposure/maintenance-mechanics/)

## Next steps for warehouse workers

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
