67
/100

SOC 43-9111

Statistical Assistants

High RiskFrey/Osborne: 66.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

5,900

Total workers

Median Wage

๐Ÿ’ฐ

$51K

$38K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

-2.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Statistical Assistants face a risk score of 67/100 โ€” 23 points above the national average of 44. With 95/100 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 $51K ($5K 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 67/100, Statistical Assistants faces moderate automation pressure. While tasks like intelligent document processing and ocr automation are increasingly handled by AI, the role retains significant human elements. The 5,900 workers in this occupation should focus on strengthening skills in coordinating complex multi-party events and logistics and building trust-based relationships with executives to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Statistical Assistants?

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

โš ๏ธ Top Risk Factors

1

Intelligent document processing and OCR automation

2

AI coding assistants reducing developer demand

3

Large language model automation of analysis tasks

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Coordinating complex multi-party events and logistics

โœ“

Building trust-based relationships with executives

โœ“

Managing sensitive interpersonal workplace situations

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

Compute and analyze data, using statistical formulas and computers or calculators.

โ€ข

Check source data to verify completeness and accuracy.

โ€ข

Enter data into computers for use in analyses or reports.

โ€ข

Compile reports, charts, or graphs that describe and interpret findings of analyses.

โ€ข

Participate in the publication of data or information.

๐Ÿ’ป Technology Skills

โ€ข

Development environment software

โ€ข

Customer relationship management CRM software

โ€ข

Analytical or scientific software

โ€ข

Computer aided design CAD software

โ€ข

Object or component oriented development software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$51K
+$5K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-2.5%
-6.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K73%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K67%
Lawyers, Judges, and Related Workers17$144K65%