Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They strengthen buildings and structures by installing and securing steel bars or mesh in concrete to make sure they can handle weight and pressure.
Summary
Reinforcing Iron and Rebar Workers have a "Stable" career because, while robots are starting to help with repetitive and heavy tasks, people are still essential for planning, cutting, and fitting the rebar. The machines are seen as tools that make the hard parts easier and safer, but the workers' skills in reading blueprints and solving problems are still crucial.
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Learn more about how you can thrive in this position
Summary
Reinforcing Iron and Rebar Workers have a "Stable" career because, while robots are starting to help with repetitive and heavy tasks, people are still essential for planning, cutting, and fitting the rebar. The machines are seen as tools that make the hard parts easier and safer, but the workers' skills in reading blueprints and solving problems are still crucial.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Iron and Rebar Workers
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
In some parts of their job, rebar workers are already getting robotic help. For example, TyBOT is a machine that moves along road or bridge forms and ties steel bars to each other – it can tie over 1,200 connections per hour, far faster than a person [1]. Researchers at Hong Kong University also built a robot that “swiftly” travels along steel rods and automatically ties them at each intersection [2].
Another company (ACR) has made an “IronBOT” that places and positions rebar on bridge decks for workers [3]. These machines use cameras or sensors and make repetitive tying or placing tasks much faster and safer.
Most other tasks are still done by people. Workers today measure, cut, bend, and weld rods by hand (using tools and bending machines), and they read blueprints to decide where each rod goes. AI and robots haven’t replaced that on-the-spot judgment work.
In fact, builders train ironworkers to use the new machines. ACR’s CEO says ironworkers call these robots “tools of the trade” – they take courses to operate TyBOT or IronBOT so the workers can get more work done safely [3]. In short, machines are starting to do the hurting, tedious part (tying and moving steel), while people still handle the planning, cutting, welding, and final fit.

AI Adoption
Whether companies use these robots quickly or slowly depends on several things. One big factor is cost. A TyBOT robot costs on the order of $425,000 (including training) for a wide system [3], which is like many years of one worker’s salary.
That high price makes firms careful. But the payoff can be large: in practice, contractors report TyBOT cuts rebar labor by about 25% [3]. To manage costs, some firms rent the robot as a service instead of buying it outright [3].
Industry studies note that high upfront costs and the chaotic nature of construction sites are major hurdles for automation [4] [4].
Another factor is labor conditions. Some people believe there really isn’t a worker shortage but rather not enough steady jobs [5]. If lots of trained ironworkers are available, a builder might not rush to invest in robots.
On the other hand, when jobs are risky or hard to fill, companies are more eager for automation. Social acceptance also matters: here, unions see robots as helpers. ACR works with the Ironworkers union to train members on the bots [3].
By learning to use new tools, workers keep their jobs and stay safe under heavy rebar cages. In the end, AI and robots are likely to be tools that skilled ironworkers use to speed up tough tasks and reduce injury, rather than replacing people. This way, human skill – in reading plans, solving problems, and fine work – will still be very valuable on the job.

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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
Cut and fit wire mesh or fabric, using hooked rods, and position fabric or mesh in concrete to reinforce concrete.
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.
Space and fasten together rods in forms according to blueprints, using wire and pliers.
Determine quantities, sizes, shapes, and locations of reinforcing rods from blueprints, sketches, or oral instructions.
Cut rods to required lengths, using metal shears, hacksaws, bar cutters, or acetylene torches.
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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