51
/100

SOC 53-7064

Packers and Packagers, Hand

ElevatedFrey/Osborne: 38.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

601,440

Total workers

Median Wage

๐Ÿ’ฐ

$36K

$27K โ€“ $46K

Projected Growth

๐Ÿ“ˆ

-5.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Packers and Packagers, Hand face a risk score of 51/100 โ€” 7 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $36K. 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 51/100, Packers and Packagers, Hand faces moderate automation pressure. While tasks like ai route optimization reducing dispatcher roles are increasingly handled by AI, the role retains significant human elements. The 601,440 workers in this occupation should focus on strengthening skills in navigating unpredictable road and weather conditions and customer interaction and conflict resolution during delivery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Packers and Packagers, Hand?

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

โš ๏ธ Top Risk Factors

1

AI route optimization reducing dispatcher roles

2

Autonomous vehicle and self-driving truck technology

3

Predictive maintenance reducing manual inspection needs

4

Drone delivery displacing last-mile logistics workers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable road and weather conditions

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Manual loading of irregular and fragile cargo

โœ“

Navigating complex urban environments with obstacles

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

Examine and inspect containers, materials, or products to ensure that product quality and packing specifications are met.

โ€ข

Measure, weigh, and count products and materials.

โ€ข

Record product, packaging, and order information on specified forms and records.

โ€ข

Seal containers or materials, using glues, fasteners, nails, and hand tools.

โ€ข

Assemble, line, and pad cartons, crates, and containers, using hand tools.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Administrative

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$36K
$-11K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth-5.4%
-9.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K82%
Aircraft Cargo Handling Supervisors29$64K74%
Air Transportation Workers31$107K70%