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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Reinforcing Iron and Rebar Workers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Mostly Resilient" because the key tasks of lifting, bending, and positioning rebar still require human skill and physical dexterity that machines struggle to replicate. While AI and robots can assist with repetitive tasks like tying rebar and checking for errors using augmented reality, they primarily help workers rather than replace them.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
This career is labeled as "Mostly Resilient" because the key tasks of lifting, bending, and positioning rebar still require human skill and physical dexterity that machines struggle to replicate. While AI and robots can assist with repetitive tasks like tying rebar and checking for errors using augmented reality, they primarily help workers rather than replace them.
Read full analysisAnalysis of Current AI Resilience
Iron and Rebar Workers
Updated Quarterly • Last Update: 2/17/2026

Rebar work remains mostly manual today. Workers still must read blueprints and place steel by hand, since O*NET notes the job relies heavily on “using hands and arms in handling, installing, positioning, and moving materials” [1]. Some specialized machines help with routine steps.
For example, robotic tying tools (like the TyBot) can wrap wire around rebar intersections faster than a person – one report showed a robot tying thousands of rebar connections on a bridge deck [2]. Computers and CNC machines can cut or bend steel rods to exact shapes, reducing waste and effort. Newer technologies use augmented reality and sensors on site: one study demonstrated an AR system that scans a concrete form and highlights any misplaced bars, guiding workers to fix errors [3].
In these ways, “intelligent” tools can check plan compliance and do repetitive jobs, but they generally assist the crew rather than replace it. Experts emphasize that construction automation boosts productivity without eliminating jobs [2] [2]. In short, some rebar-tying and inspection tasks are already partly automated (with robots or AR tools), but most of the hands-on work – lifting, bending and positioning rods – still needs human skill.

Even as robot helpers emerge, adoption in rebar work is cautious. High costs and complex worksites make widespread rollout slow. A construction consultancy notes that robots tested for single tasks (like tying or placing bars) “have not yet achieved large-scale deployment” [2].
Steelworkers often work in messy, changing environments, so machines must be very adaptable. At present these robot-tiers and cutting machines mostly appear on large projects where productivity gains justify their cost. Wage levels and a mild labor shortage in construction could push the field toward automation over time, but initial investment is high.
Socially and legally, contractors are still learning to ensure safety when humans and machines share sites [2]. In general, experts expect AI and robots in construction to augment workers: freed from the most dangerous heavy lifting, skilled rebar workers can focus on complex tasks and quality control [2] [2]. This means young people in the trade may need new tech skills (like operating AR tools or overseeing robots), but the core skill of building safe concrete structures remains in human hands [2] [2].

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They strengthen buildings and structures by installing and securing steel bars or mesh in concrete to make sure they can handle weight and pressure.
Median Wage
$59,280
Jobs (2024)
19,400
Growth (2024-34)
+4.6%
Annual Openings
1,500
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Space and fasten together rods in forms according to blueprints, using wire and pliers.
Position and secure steel bars, rods, cables, or mesh in concrete forms, using fasteners, rod-bending machines, blowtorches, or hand tools.
Place blocks under rebar to hold the bars off the deck when reinforcing floors.
Bend steel rods with hand tools or rodbending machines and weld them with arc-welding equipment.
Cut and fit wire mesh or fabric, using hooked rods, and position fabric or mesh in concrete to reinforce concrete.
Cut rods to required lengths, using metal shears, hacksaws, bar cutters, or acetylene torches.
Determine quantities, sizes, shapes, and locations of reinforcing rods from blueprints, sketches, or oral instructions.
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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