80
/100

SOC 43-4011

Brokerage Clerks

High RiskFrey/Osborne: 98.0%

Risk Score

โš ๏ธ

80/100

High Risk

US Employment

๐Ÿ‘ฅ

40,090

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$48K โ€“ $92K

Projected Growth

๐Ÿ“ˆ

-9.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

84/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Brokerage Clerks face a risk score of 80/100 โ€” 36 points above the national average of 44. With 84/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($17K 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 80/100, Brokerage Clerks faces significant automation pressure. Key threats include large language model automation of analysis tasks and ai-generated written content replacing manual drafting. The 40,090 Americans in this role should actively develop skills in handling confidential and politically sensitive information and building trust-based relationships with executives to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Brokerage Clerks?

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

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI-generated written content replacing manual drafting

3

Smart form extraction replacing manual data processing

4

Chatbot displacement of customer-facing interactions

5

AI-powered email triage and response drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling confidential and politically sensitive information

โœ“

Building trust-based relationships with executives

โœ“

Exercising discretion in ambiguous administrative decisions

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

Correspond with customers and confer with coworkers to answer inquiries, discuss market fluctuations, or resolve account problems.

โ€ข

Document security transactions, such as purchases, sales, conversions, redemptions, or payments, using computers, accounting ledgers, or certificate records.

โ€ข

File, type, or operate standard office machines.

โ€ข

Perform clerical tasks, such as answering phones or distributing mail.

โ€ข

Prepare forms, such as receipts, withdrawal orders, transmittal papers, or transfer confirmations, based on transaction requests from stockholders.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Document management software

โ€ข

Graphics or photo imaging software

โ€ข

Web page creation and editing software

โ€ข

Desktop publishing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Mathematics

โ€ข

Computers and Electronics

โ€ข

Economics and Accounting

๐Ÿ“Š vs National Average

Median Wage$63K
+$17K

National avg: $46K

Risk Score80/100
+36

National avg: 44/100

GenAI Exposure84/100
+46

National avg: 38/100

Projected Growth-9.5%
-13.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K84%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K53%
Lawyers, Judges, and Related Workers17$144K51%