58
/100

SOC 47-5013

Service Unit Operators, Oil and Gas

ElevatedFrey/Osborne: 93.0%

Risk Score

โš ๏ธ

58/100

Elevated

US Employment

๐Ÿ‘ฅ

44,120

Total workers

Median Wage

๐Ÿ’ฐ

$58K

$40K โ€“ $94K

Projected Growth

๐Ÿ“ˆ

+0.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Service Unit Operators, Oil and Gas face a risk score of 58/100 โ€” 14 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $58K ($12K 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 58/100, Service Unit Operators, Oil and Gas faces moderate automation pressure. While tasks like 3d printing of building components are increasingly handled by AI, the role retains significant human elements. The 44,120 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and real-time safety judgment in hazardous conditions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Service Unit Operators, Oil and Gas?

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

โš ๏ธ Top Risk Factors

1

3D printing of building components

2

Autonomous heavy equipment operation

3

BIM-integrated automated progress tracking

4

AI project scheduling and resource optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Physical work in confined or elevated spaces

โœ“

Client-facing consultation on custom project needs

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

Maintain and perform safety inspections on equipment and tools.

โ€ข

Operate controls that raise derricks or level rigs.

โ€ข

Listen to engines, rotary chains, or other equipment to detect faulty operations or unusual well conditions.

โ€ข

Prepare reports of services rendered, tools used, or time required, for billing purposes.

โ€ข

Install pressure-control devices onto wellheads.

๐Ÿ’ป Technology Skills

โ€ข

Facilities management software

โ€ข

Analytical or scientific software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Customer and Personal Service

โ€ข

Engineering and Technology

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$58K
+$12K

National avg: $46K

Risk Score58/100
+14

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth0.4%
-3.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
Electricians32$62K82%
Supervisors of Construction and Extraction Workers33$79K80%