59
/100

SOC 53-7021

Crane and Tower Operators

ElevatedFrey/Osborne: 90.0%

Risk Score

โš ๏ธ

59/100

Elevated

US Employment

๐Ÿ‘ฅ

42,000

Total workers

Median Wage

๐Ÿ’ฐ

$66K

$42K โ€“ $102K

Projected Growth

๐Ÿ“ˆ

+3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

38/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Crane and Tower Operators face a risk score of 59/100 โ€” 15 points above the national average of 44. With only 38/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $66K ($20K 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 59/100, Crane and Tower Operators faces moderate automation pressure. While tasks like autonomous vehicle and self-driving truck technology are increasingly handled by AI, the role retains significant human elements. The 42,000 workers in this occupation should focus on strengthening skills in emergency situation response and quick decision-making and manual loading of irregular and fragile cargo to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Crane and Tower Operators?

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

โš ๏ธ Top Risk Factors

1

Autonomous vehicle and self-driving truck technology

2

AI traffic management and fleet coordination

3

Drone delivery displacing last-mile logistics workers

4

Automated warehouse sorting and loading systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Emergency situation response and quick decision-making

โœ“

Manual loading of irregular and fragile cargo

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Navigating unpredictable road and weather conditions

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

Determine load weights and check them against lifting capacities to prevent overload.

โ€ข

Move levers, depress foot pedals, or turn dials to operate cranes, cherry pickers, electromagnets, or other moving equipment for lifting, moving, or placing loads.

โ€ข

Inspect and adjust crane mechanisms or lifting accessories to prevent malfunctions or damage.

โ€ข

Inspect cables or grappling devices for wear and install or replace cables, as needed.

โ€ข

Direct helpers engaged in placing blocking or outrigging under cranes.

๐Ÿ’ป Technology Skills

โ€ข

Industrial control software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Transportation

โ€ข

English Language

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$66K
+$20K

National avg: $46K

Risk Score59/100
+15

National avg: 44/100

GenAI Exposure38/100
0

National avg: 38/100

Projected Growth3.0%
-0.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K73%
Air Transportation Workers31$107K71%
Ship Engineers33$101K82%