Will AI replace structural iron and steel workers?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 36m (95%) stays with people. Separately, BLS expects about 3.1% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 19 tasks, about 24m of a typical shift. The biggest ones:

• Read specifications or blueprints to determine the locations, quantities, or sizes of materials required. (24m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 17 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

7h 36m of a typical shift, or 95%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Connect columns, beams, and girders with bolts, following blueprints and instructions from supervisors. (1h a shift)
• Hoist steel beams, girders, or columns into place, using cranes or signaling hoisting equipment operators to lift and position structural steel members. (48m a shift)
• Cut, bend, or weld steel pieces, using metal shears, torches, or welding equipment. (48m a shift)
• Erect metal or precast concrete components for structures, such as buildings, bridges, dams, towers, storage tanks, fences, or highway guard rails. (48m a shift)
• Bolt aligned structural steel members in position for permanent riveting, bolting, or welding into place. (36m a shift)

Part of the answer is the setting, not just the tasks. Work that is in person, hands on or high stakes is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 99% use their hands on tools, objects or controls more than half the time
• 98% spend more than half the day on their feet
• 93% work at arm's length or closer to other people

On Indeed, job postings in the Construction sector are at 129% of their February 2020 level (all U.S. postings: 104%), up 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 5,900 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $62,780 a year ($30.18 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $44,580 and $108,260 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.1% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 70,000 jobs in 2035. It expects about 5,900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 68,000 people in the U.S., roughly 0.04% of all workers (BLS, May 2025). That makes it the 333rd largest of the 796 jobs on this site. BLS expects about 70,000 in 2035.

The most common requirement is a high school diploma: about 42% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operation and Control, Operations Monitoring, Coordination, Quality Control Analysis
• Get strong at the parts of the job that stay with people (listed above), which take 7h 36m of a typical shift
• Tools employers list: Microsoft Outlook
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Helpers for Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters (2h 46m touched, $48k median pay)
• Reinforcing Iron and Rebar Workers (0m touched, $59k median pay)
• Carpet Installers (26m touched, $50k median pay)
• Glaziers (37m touched, $57k median pay)
• Tile and Stone Setters (58m touched, $56k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 18 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.