36
/100

SOC 11-9199

Managers, All Other

ModerateFrey/Osborne: 25.0%

Risk Score

โš ๏ธ

36/100

Moderate

US Employment

๐Ÿ‘ฅ

630,980

Total workers

Median Wage

๐Ÿ’ฐ

$137K

$69K โ€“ $228K

Projected Growth

๐Ÿ“ˆ

+4.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

69/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Managers, All Other face a risk score of 36/100 โ€” 8 points below the national average of 44. With 69/100 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 $137K ($90K 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 36/100, Managers, All Other faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 630,980 workers in this occupation should focus on strengthening skills in building organizational culture and employee engagement and navigating complex interpersonal and political dynamics to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Managers, All Other?

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 coding assistants reducing developer demand

3

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building organizational culture and employee engagement

โœ“

Navigating complex interpersonal and political dynamics

โœ“

Inspiring and leading teams through organizational change

โœ“

Strategic vision-setting in uncertain markets

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

Develop regulatory strategies and implementation plans for the preparation and submission of new products.

โ€ข

Review all regulatory agency submission materials to ensure timeliness, accuracy, comprehensiveness, or compliance with regulatory standards.

โ€ข

Direct the preparation and submission of regulatory agency applications, reports, or correspondence.

โ€ข

Investigate product complaints and prepare documentation and submissions to appropriate regulatory agencies as necessary.

โ€ข

Provide responses to regulatory agencies regarding product information or issues.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Analytical or scientific software

โ€ข

Compliance software

โ€ข

Data base user interface and query software

โ€ข

Information retrieval or search software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Law and Government

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$137K
+$90K

National avg: $46K

Risk Score36/100
-8

National avg: 44/100

GenAI Exposure69/100
+31

National avg: 38/100

Projected Growth4.5%
+0.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K70%
Architectural and Engineering Managers23$168K71%
Public Relations Managers26$139K80%