61
/100

SOC 33-9099

Protective Service Workers, All Other

High RiskFrey/Osborne: 67.0%

Risk Score

โš ๏ธ

61/100

High Risk

US Employment

๐Ÿ‘ฅ

83,110

Total workers

Median Wage

๐Ÿ’ฐ

$42K

$31K โ€“ $73K

Projected Growth

๐Ÿ“ˆ

+2.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

74/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Protective Service Workers, All Other face a risk score of 61/100 โ€” 17 points above the national average of 44. With 74/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $42K. 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 61/100, Protective Service Workers, All Other faces moderate automation pressure. While tasks like automated access control and identity verification are increasingly handled by AI, the role retains significant human elements. The 83,110 workers in this occupation should focus on strengthening skills in physical apprehension and emergency response and community relationship-building and trust development to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Protective Service Workers, All Other?

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

โš ๏ธ Top Risk Factors

1

Automated access control and identity verification

2

Chatbot displacement of customer-facing interactions

3

Large language model automation of analysis tasks

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Physical apprehension and emergency response

โœ“

Community relationship-building and trust development

โœ“

De-escalation of volatile interpersonal confrontations

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

Investigate known or suspected internal theft, external theft, or vendor fraud.

โ€ข

Implement or monitor processes to reduce property or financial losses.

โ€ข

Identify and report merchandise or stock shortages.

โ€ข

Maintain documentation or reports on security-related incidents or investigations.

โ€ข

Apprehend shoplifters in accordance with guidelines.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

โ€ข

Enterprise application integration software

โ€ข

Transaction security and virus protection software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Law and Government

โ€ข

Customer and Personal Service

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$42K
$-5K

National avg: $46K

Risk Score61/100
+17

National avg: 44/100

GenAI Exposure74/100
+36

National avg: 38/100

Projected Growth2.5%
-1.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Education Administrators, All Other21$89K65%
Social Workers, All Other22$69K63%
Substance Abuse, Behavioral Disorder, and Mental Health Counselors23$59K61%