60
/100

SOC 53-7065

Stockers and Order Fillers

ElevatedFrey/Osborne: 85.0%

Risk Score

โš ๏ธ

60/100

Elevated

US Employment

๐Ÿ‘ฅ

2,779,530

Total workers

Median Wage

๐Ÿ’ฐ

$37K

$30K โ€“ $49K

Projected Growth

๐Ÿ“ˆ

+8.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

49/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Stockers and Order Fillers face a risk score of 60/100 โ€” 16 points above the national average of 44. With only 49/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $37K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 60/100, Stockers and Order Fillers faces moderate automation pressure. While tasks like autonomous vehicle and self-driving truck technology are increasingly handled by AI, the role retains significant human elements. The 2,779,530 workers in this occupation should focus on strengthening skills in emergency situation response and quick decision-making and manual loading of irregular and fragile cargo to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Stockers and Order Fillers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Autonomous vehicle and self-driving truck technology

2

AI route optimization reducing dispatcher roles

3

AI traffic management and fleet coordination

4

Drone delivery displacing last-mile logistics workers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Emergency situation response and quick decision-making

โœ“

Manual loading of irregular and fragile cargo

โœ“

Customer interaction and conflict resolution during delivery

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Complete order receipts.

โ€ข

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

โ€ข

Issue or distribute materials, products, parts, and supplies to customers or coworkers, based on information from incoming requisitions.

โ€ข

Keep records of out-going orders.

โ€ข

Stock shelves, racks, cases, bins, and tables with new or transferred merchandise.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Desktop communications software

โ€ข

Electronic mail software

โ€ข

Word processing software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Transportation

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$37K
$-9K

National avg: $46K

Risk Score60/100
+16

National avg: 44/100

GenAI Exposure49/100
+11

National avg: 38/100

Projected Growth8.5%
+4.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K70%
Aircraft Cargo Handling Supervisors29$64K77%
Air Transportation Workers31$107K73%