Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

69.2%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Contributing sources

AI Resilience Report forStructural Iron and Steel Workers

Structural Iron and Steel Workers are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

This career is labeled as "Resilient" because most of the work done by structural iron and steel workers involves unique human skills like judgment, teamwork, and hands-on problem-solving that are difficult for AI to replicate. While new technologies and AI tools may assist workers by handling heavy or repetitive tasks and improving safety, they won't replace the human role.

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This role is resilient

This career is labeled as "Resilient" because most of the work done by structural iron and steel workers involves unique human skills like judgment, teamwork, and hands-on problem-solving that are difficult for AI to replicate. While new technologies and AI tools may assist workers by handling heavy or repetitive tasks and improving safety, they won't replace the human role.

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Analysis of Current AI Resilience

Structural Iron/Steel Wkr

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Structural Iron/Steel Wkr jobs?

In steel construction today, most core tasks are still done by people. For example, workers read blueprints and guide cranes by hand. Computers and tools are helping more with planning: companies use 3D design software (BIM) to model structures before building [1].

Some new technologies are being tried on jobsites. One university project used augmented-reality glasses to overlay shop drawings on steel, showing fabricators exactly where to cut or bolt pieces [2]. 3D laser scanners can also capture a steel frame as it’s built, and software compares it against the digital design to find misalignments [3]. In research labs, engineers have built mobile welding robots that use cameras and AI to find and weld steel joints automatically [4].

Others are developing wearable exoskeleton suits that give workers extra lift, letting them carry heavy beams more easily [4]. However, these tools are mostly in testing or factory settings. Daily on-site work – hoisting beams, bolting connections, checking levels – is still done by ironworkers.

As one industry review notes, every construction site is unique and constantly changing, so on-site automation is still rare [1]. In summary, technology like computer models, lasers, and even smart tools is starting to help, but the tricky physical work of fitting and finishing steel is still done largely by people.

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AI Adoption

How fast is AI adoption growing for Structural Iron/Steel Wkr?

Ironworkers face strong demand and hard labor. About 85,000 ironworkers (structural and reinforcing) worked in the U.S., with job growth around 4% [5]. The work is dangerous and demanding (working at heights, heavy lifting), so there is interest in tech that can help.

For instance, robots can do repetitive or heavy tasks faster and with less injury risk [6]. A shortage of welders (over 330,000 more welders expected to be needed by 2028 [4]) motivates research on welding automation. But bringing AI onto the jobsite is costly and complex.

Robots and sensors are expensive investments, and a skilled crew can be cheaper for many jobs. For example, the average ironworker earns about \$32.80 per hour [5], so a new machine must really save on time or mistakes to pay off. Construction sites also change every day – weather, layouts, and people keep moving – which makes running robots safely very hard [1] [6].

Because of rules and safety concerns, companies adopt new tech slowly. Some contractors use drones or scanners to inspect and plan, but most fitting and bolting is done by seasoned workers. Experts advise that future robots will more likely assist ironworkers rather than replace them [1].

In the end, human skills remain vital. Ironworkers need good judgment, teamwork, and hands-on problem-solving. Young people entering this field can be hopeful: new AI tools and machines may handle the heavy, repetitive tasks or improve safety [6] [4], but people will still be needed to make and guide decisions.

The career will likely evolve into one where humans and smart tools work side by side on the construction site.

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More Career Info

Career: Structural Iron and Steel Workers

They build and install metal frameworks for buildings and bridges, making sure structures are strong and safe.

Employment & Wage Data

Median Wage

$62,700

Jobs (2024)

65,700

Growth (2024-34)

+4.4%

Annual Openings

5,500

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

95% ResilienceSupplemental

Insert sealing strips, wiring, insulating material, ladders, flanges, gauges, or valves, depending on types of structures being assembled.

2

94% ResilienceCore Task

Erect metal or precast concrete components for structures, such as buildings, bridges, dams, towers, storage tanks, fences, or highway guard rails.

3

94% ResilienceSupplemental

Hold rivets while riveters use air hammers to form heads on rivets.

4

93% ResilienceSupplemental

Place blocks under reinforcing bars used to reinforce floors.

5

92% ResilienceCore Task

Pull, push, or pry structural steel members into approximate positions for bolting into place.

6

92% ResilienceCore Task

Cut, bend, or weld steel pieces, using metal shears, torches, or welding equipment.

7

92% ResilienceCore Task

Dismantle structures or equipment.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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