39
/100

SOC 43-5000

Material Recording, Scheduling, Dispatching, and Distributing Workers

ModerateFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

39/100

Moderate

US Employment

๐Ÿ‘ฅ

2,319,860

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$35K โ€“ $75K

Projected Growth

๐Ÿ“ˆ

-2.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

35/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Material Recording, Scheduling, Dispatching, and Distributing Workers face a risk score of 39/100 โ€” 5 points below the national average of 44. With only 35/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($2K above the national median). 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 39/100, Material Recording, Scheduling, Dispatching, and Distributing Workers faces moderate automation pressure. While tasks like robotic process automation of data entry workflows are increasingly handled by AI, the role retains significant human elements. The 2,319,860 workers in this occupation should focus on strengthening skills in coordinating complex multi-party events and logistics and exercising discretion in ambiguous administrative decisions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Material Recording, Scheduling, Dispatching, and Distributing Workers?

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

โš ๏ธ Top Risk Factors

1

Robotic process automation of data entry workflows

2

AI-powered email triage and response drafting

3

Smart form extraction replacing manual data processing

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating complex multi-party events and logistics

โœ“

Exercising discretion in ambiguous administrative decisions

โœ“

Managing sensitive interpersonal workplace situations

โœ“

Building trust-based relationships with executives

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“Š vs National Average

Median Wage$48K
+$2K

National avg: $46K

Risk Score39/100
-5

National avg: 44/100

GenAI Exposure35/100
-3

National avg: 38/100

Projected Growth-2.8%
-6.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K77%
Lawyers, Judges, and Related Workers17$144K69%
Education Administrators, All Other21$89K61%