54
/100

SOC 47-2221

Structural Iron and Steel Workers

ElevatedFrey/Osborne: 83.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

64,720

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$42K โ€“ $108K

Projected Growth

๐Ÿ“ˆ

+4.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

21/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Structural Iron and Steel Workers face a risk score of 54/100 โ€” 10 points above the national average of 44. With only 21/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($16K 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 54/100, Structural Iron and Steel Workers faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 64,720 workers in this occupation should focus on strengthening skills in real-time safety judgment in hazardous conditions and client-facing consultation on custom project needs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Structural Iron and Steel Workers?

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

โš ๏ธ Top Risk Factors

1

Autonomous heavy equipment operation

2

3D printing of building components

3

BIM-integrated automated progress tracking

4

AI project scheduling and resource optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Client-facing consultation on custom project needs

โœ“

Fine motor craftsmanship in custom installations

โœ“

Physical work in confined or elevated spaces

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

Read specifications or blueprints to determine the locations, quantities, or sizes of materials required.

โ€ข

Connect columns, beams, and girders with bolts, following blueprints and instructions from supervisors.

โ€ข

Bolt aligned structural steel members in position for permanent riveting, bolting, or welding into place.

โ€ข

Fasten structural steel members to hoist cables, using chains, cables, or rope.

โ€ข

Hoist steel beams, girders, or columns into place, using cranes or signaling hoisting equipment operators to lift and position structural steel members.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Project management software

โ€ข

Inventory management software

โ€ข

Electronic mail software

โ€ข

Accounting software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Public Safety and Security

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$63K
+$16K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure21/100
-17

National avg: 38/100

Projected Growth4.4%
+0.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
Supervisors of Construction and Extraction Workers33$79K72%
Extraction Workers29$56K70%