Reinforcing Iron and Rebar Workers
47-2171.00Median wage $58,970/yr13,800 employed (US)Rank #866 of 923 scored · top 94% by substitution
Position and secure steel bars or mesh in concrete forms in order to reinforce concrete. Use a variety of fasteners, rod-bending machines, blowtorches, and hand tools. Includes rod busters.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution11
Exposure4
Augmentation19
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
7 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
0%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%4
panel mean rating 1.2/5 → substitution pressure 4/100
Technical feasibility todayw 20%4
panel mean rating 1.2/5 → substitution pressure 4/100
Cost vs. human wagew 15%4
panel mean rating 1.2/5 → substitution pressure 4/100
Adoption barriersw 20%inverted — strong barriers lower the score40
panel mean rating 3.4/5 (barrier strength) → substitution pressure 40/100
Sector adoption velocityw 10%2
panel mean rating 1.1/5 → substitution pressure 2/100
Task breakdown (7 tasks)
Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.
Determine quantities, sizes, shapes, and locations of reinforcing rods from blueprints, sketches, or oral instructions.
26CI 23–30 · exposure 25 · augmentation 50 · importance 4.4/5 · click for rater detail
Determine quantities, sizes, shapes, and locations of reinforcing rods from blueprints, sketches, or oral instructions.
26| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction and skilled trades remain among the slowest-adopting sectors for AI automation, with limited digitization of blueprints, heavy reliance on on-site human judgment, and regulatory inertia. Measured AI-driven displacement in rebar preparation is minimal. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Construction is a traditionally slow-digitizing sector; BIM adoption is growing but on-site interpretation of instructions and field conditions still relies heavily on human workers. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-assisted blueprint reading and quantity extraction tools could help workers organize and cross-check rod specifications, reducing manual transcription and some dimensional errors. However, augmentation is limited to data organization rather than transformative productivity gain, as the core task of spatial interpretation remains human-led. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-enabled takeoff and BIM tools can speed up quantity calculations and cross-referencing from digital blueprints, meaningfully aiding workers who still verify and adapt to field conditions. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can read blueprints and extract dimensional data from images, determining reinforcing rod quantities, sizes, shapes, and locations requires spatial reasoning, code compliance interpretation, and coordination with site conditions that current systems handle only partially. Manual verification and adjustment remain necessary for structural safety. |
| Task automatability | claude-sonnet-5 | 2/5 | Interpreting blueprints and translating them into rebar quantities, sizes, and placement involves visual-spatial reasoning and construction judgment that current AI can partially support but not fully replace end-to-end.dynamically. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Structural safety codes and building regulations often require licensed professionals to certify rebar placement and quantities. Liability for incorrect placement rests on the contractor or engineer, creating strong legal and insurance barriers to full automation without explicit professional sign-off. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement specifically for this task, but liability for structural errors, reliance on oral instructions, and variable drawing quality create moderate organizational and safety-driven friction against full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Setting up AI systems to parse blueprints, integrate site context, and produce verified rebar schedules involves significant infrastructure, training, and human oversight costs. The loaded labor cost for a rebar worker's time on this task remains lower than the full-lifecycle AI system cost at current maturity. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Specialized takeoff software has licensing and integration costs comparable to or exceeding a skilled estimator's time for smaller or non-standardized jobs, though large-scale digital projects may see savings. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably interprets construction blueprints end-to-end to determine rebar specifications in production at scale. Research systems can extract some geometric data, but the requirement to handle varied blueprints, sketches, and oral instructions across different projects and compliance contexts exceeds current product reliability. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some BIM/takeoff software can extract rebar schedules from digital drawings, but handling sketches, oral instructions, and field ambiguity remains largely manual and unreliable for full automation. |
Place blocks under rebar to hold the bars off the deck when reinforcing floors.
13CI 10–15 · exposure 0 · augmentation 0 · importance 4.0/5 · click for rater detail
Place blocks under rebar to hold the bars off the deck when reinforcing floors.
13| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction remains a laggard sector for automation due to site variability, physical complexity, and the cost-effectiveness of manual labor. Rebar work specifically sees minimal automation adoption in current practice. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction is a low-digitization, physically intensive sector with minimal AI/robotic adoption for granular manual tasks like this. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | Current AI systems offer no meaningful assistance for the physical task of placing spacer blocks under rebar, as the task is primarily manual manipulation without algorithmic or cognitive components to augment. |
| Augmentation potential | claude-sonnet-5 | 1/5 | AI offers essentially no assistance for this specific physical placement task; it is a manual dexterity job with no digital or cognitive component to augment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Placing blocks under rebar is a physical manipulation task requiring precise spatial positioning in a construction environment. Current AI systems lack embodied robotics capabilities to reliably perform this manipulation at construction site scale and speed. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical manipulation task requiring placement of concrete/plastic blocks under rebar on a construction deck; no AI system can perform this physical action today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Construction sites have standard work practices and supervisor oversight, but no licensing requirement or legal mandate that a human must place blocks. Adoption could face organizational friction around integrating unfamiliar automation into established workflows. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement specifically for this sub-task, but construction site safety standards and structural inspection requirements create some procedural oversight. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Robotics systems capable of performing rebar placement would require significant capital investment, infrastructure, and ongoing maintenance, far exceeding the cost of a rebar worker's wage for this straightforward task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic substitute, so any hypothetical automation would require expensive custom robotics far exceeding human labor cost for this simple task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial product performs this physical rebar-blocking task. The task requires mobile manipulation in unstructured construction environments, which remains at research stage without reliable production solutions. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed robotic or AI product performs rebar chair placement in production; this remains manual construction work. |
Space and fasten together rods in forms according to blueprints, using wire and pliers.
7CI 5–10 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail
Space and fasten together rods in forms according to blueprints, using wire and pliers.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption of autonomous rebar automation remains negligible in field construction; the sector has low digital maturity, strong labor unionization, and site-specific variability all suppress velocity of AI/robotic deployment. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction is among the least digitized, lowest-AI-adoption sectors, with physical fieldwork tasks like rebar tying seeing negligible robotic or AI deployment. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Digital tools (e.g., augmented reality for blueprint visualization, wire calculators) offer modest assistance in planning, but the core task of physical spacing and fastening offers limited augmentation potential because the human is performing real-time sensorimotor work that AI cannot yet meaningfully assist without controlling the tool itself. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-based tools like blueprint interpretation software or layout-planning apps can assist in the planning phase, but the physical spacing and fastening work itself receives little direct AI augmentation. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation in three-dimensional space, handling heavy materials, and real-time adaptation to actual forms—capabilities that current mobile robotics cannot reliably perform end-to-end on construction sites with the speed and cost-effectiveness of human workers. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, manual construction task requiring precise placement and tying of rebar in three-dimensional forms; no current AI/robotic system can perform this end-to-end at production speed and quality. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Construction unions have contractual authority over rebar work, OSHA and building codes specify worker certification and on-site safety oversight, and the inherent variability of forms and site conditions creates practical and legal friction against full automation without human sign-off. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing barrier specifically prevents automation, but safety regulations, site variability, liability for structural errors, and physical unpredictability of construction sites create substantial practical friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized rebar-tying robots, where they exist, cost significantly more than the loaded hourly wage of reinforcing workers and require extensive setup, integration, and oversight per task, making them economically unviable for most projects. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Any robotic solution capable of this task would require expensive specialized hardware, setup, and maintenance far exceeding the cost of a skilled rebar worker with hand tools. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial system can autonomously space, fasten, and wire rebar in forms at construction site scale; robotic rebar systems remain experimental or extremely narrow-use (e.g., prefabrication plants), not production-ready for general field work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | There are no deployed products performing rebar tying autonomously in real construction settings at scale; existing rebar-tying robots (e.g., experimental prototypes) remain research or niche pilot stage. |
Position and secure steel bars, rods, cables, or mesh in concrete forms, using fasteners, rod-bending machines, blowtorches, or hand tools.
7CI 5–10 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail
Position and secure steel bars, rods, cables, or mesh in concrete forms, using fasteners, rod-bending machines, blowtorches, or hand tools.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction remains a low-automation, physically intensive sector with fragmented operations. Adoption of autonomous rebar placement is minimal; the industry continues to rely on manual skilled labor due to site variability and structural complexity. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction is a notoriously slow-adopting, low-digitization sector with minimal robotic/AI deployment on active job sites. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with design visualization or rebar layout planning, but offers minimal augmentation to the core physical task of positioning and securing materials, which remains heavily manual and tool-dependent. |
| Augmentation potential | claude-sonnet-5 | 2/5 | Some rebar-tying tools and layout software aid planning and fastening speed, but AI itself offers limited direct assistance to the physical positioning and securing work. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical positioning and securing of materials in three-dimensional concrete forms using specialized tools and machines. Current AI systems cannot manipulate physical objects, operate blowtorches, or assess form geometry in real-time to meet structural specifications. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical construction task requiring manual manipulation of heavy steel materials in variable site conditions; no off-the-shelf AI system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Strong occupational licensing and union protections cover rebar work in many jurisdictions; structural integrity requirements and liability for improper placement create high error-cost asymmetry; and OSHA regulations require trained, certified workers on jobsites for safety-critical tasks. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement specifically bars automation, but safety regulations, jobsite liability, and physical unpredictability of construction sites create substantial practical friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotic systems capable of rebar work would be extremely expensive to acquire, deploy, and maintain, far exceeding the loaded wage of skilled rebar workers performing this task efficiently. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Any robotic solution would require expensive specialized hardware and setup, far exceeding the cost of skilled trade labor for this task today. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can perform end-to-end physical placement and fastening of rebar in concrete forms. The task demands embodied robotics with dexterity, safety awareness, and real-time environmental feedback that does not exist in production construction settings. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs rebar placement and securing in production; robotic rebar-tying exists only in narrow research/prototype pilots. |
Cut rods to required lengths, using metal shears, hacksaws, bar cutters, or acetylene torches.
7CI 5–10 · exposure 0 · augmentation 0 · importance 4.0/5 · click for rater detail
Cut rods to required lengths, using metal shears, hacksaws, bar cutters, or acetylene torches.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction and reinforcing trades remain among the most labor-intensive and slowest to digitize sectors; on-site rebar cutting is typically performed by skilled workers with minimal automation adoption to date. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the slowest sectors to adopt AI/robotics for physical fabrication tasks, with minimal production deployment. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers no meaningful assistive capability for the core task of physically cutting metal rods to length; the task is primarily manual execution with minimal decision support needed. |
| Augmentation potential | claude-sonnet-5 | 1/5 | AI offers essentially no assistance to the physical act of measuring and cutting rebar with hand or powered tools on site. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation of heavy metal rods and operation of specialized cutting equipment in a construction or manufacturing environment. Current AI systems have no robotic embodiment deployed at scale to perform this work end-to-end with time savings. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical cutting task requiring manual tool operation, transport, and positioning at construction sites; no current AI system can perform this end-to-end.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Construction sites have stringent OSHA and safety regulations; workers must be trained and certified. The task involves hazardous equipment and liability for improper cuts affecting structural integrity, creating strong regulatory and liability barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing barrier specifically, but physical site conditions, safety requirements around torches/tools, and variable material handling create practical friction against automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized industrial robots capable of cutting and handling rebar are capital-intensive and require significant setup; their per-unit cost far exceeds the loaded wage of a skilled rebar worker for the actual cutting task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI or robotic system replacing this task at any comparable cost; human labor with hand tools remains the only practical option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI products perform metal rod cutting in production. While robotic arms exist, integrating vision, safety, and cutting quality for variable rebar dimensions remains a research/experimental domain rather than a reliably deployed solution. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously cuts rebar to length on job sites; this remains purely a research/robotics-lab concept if attempted at all. |
Cut and fit wire mesh or fabric, using hooked rods, and position fabric or mesh in concrete to reinforce concrete.
7CI 5–10 · exposure 0 · augmentation 25 · importance 3.9/5 · click for rater detail
Cut and fit wire mesh or fabric, using hooked rods, and position fabric or mesh in concrete to reinforce concrete.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction remains a low-digitization, site-dependent sector with heavy reliance on skilled trades. Adoption of automation in rebar work is minimal; the sector continues to employ manual labor due to physical-site constraints and regulatory requirements. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction is a notoriously slow-adopting, low-digitization sector for physical manual labor tasks, with minimal robotic deployment for rebar placement in the field. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with design optimization or layout planning before on-site work, but current systems offer minimal real-time assistance to workers actually cutting and positioning mesh. The task is primarily manual and spatial, limiting augmentation scope. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with planning, layout diagrams, and material estimation, but offers little direct assistance to the physical cutting, fitting, and positioning work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation in three-dimensional construction environments—cutting, fitting, and positioning wire mesh in concrete forms. Current robotics and AI cannot reliably perform these skilled, context-dependent physical operations at construction sites with the dexterity and adaptability required. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical construction task requiring manual manipulation of heavy, rigid materials in unstructured job-site environments; no off-the-shelf AI or robotic system performs this end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Construction sites require licensed, trained operators who bear liability for structural integrity and safety. Building codes, union agreements, and OSHA regulations mandate human inspection and sign-off on reinforcement work, creating legal and contractual barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While not licensed in the same way as some trades, this work is governed by construction codes and structural safety standards requiring correct placement, and physical site conditions and liability create real friction against automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The combination of specialized robotics hardware, site integration, and ongoing maintenance would far exceed the loaded wage of reinforcing iron workers, whose labor is relatively inexpensive compared to advanced automation infrastructure. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | No viable AI/robotic substitute exists for this task, so any hypothetical automation cost would exceed the cost of a skilled human worker performing it directly. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI systems today can autonomously cut, fit, and position wire mesh in concrete work at production scale. This remains a skilled trade task performed by humans; no commercial products demonstrate reliable end-to-end performance. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | There are no deployed products that cut, fit, and position rebar mesh in concrete forms at production scale; this remains a manual trade skill. |
Bend steel rods with hand tools or rod-bending machines and weld them with arc-welding equipment.
5CI 5–5 · exposure 0 · augmentation 0 · importance 3.4/5 · click for rater detail
Bend steel rods with hand tools or rod-bending machines and weld them with arc-welding equipment.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Rebar work occurs predominantly on construction sites with high physical variability and low digitization. Adoption of automation in this trade remains minimal despite decades of robotics research. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction trades remain among the least digitized and slowest to adopt AI/robotics for physical fabrication tasks in the field. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI systems offer no meaningful real-time assistance to workers bending rods or performing arc welds; the task is fundamentally manual and depends on embodied skill rather than information processing or judgment that AI could augment. |
| Augmentation potential | claude-sonnet-5 | 1/5 | Current AI tools offer essentially no direct assistance to a worker physically bending and welding rebar on-site. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation of heavy steel rods and precise bending/welding in three-dimensional space with tactile feedback. Current AI systems have no meaningful autonomous capability to operate hand tools, rod-bending machines, or arc-welding equipment in real job sites. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical construction task requiring manual manipulation of heavy steel rods, precise machine operation, and welding skill on-site; no current AI system can perform this physical work end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | This work involves safety-critical arc welding that affects structural integrity, creating liability exposure. Construction sites require hands-on physical presence, and building codes often mandate human inspection and certification of welds. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Welding on structural rebar typically requires certified welders per building codes and inspection sign-off, creating real licensing and liability barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotic systems capable of welding cost hundreds of thousands of dollars and require significant infrastructure, programming, and maintenance—far exceeding the loaded cost of a skilled rebar worker. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Robotic welding/bending rigs capable of this variable, site-specific work would be far more expensive to acquire and maintain than a skilled worker's wage for equivalent output. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product performs autonomous steel rod bending and arc welding at production quality. Robotic systems exist in controlled factory settings but require extensive custom integration and cannot handle the variability of construction site work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs freeform rebar bending and welding on construction sites; robotic rebar fabrication exists only in narrow factory contexts, not field conditions. |
Related occupations — Construction & Extraction
How to read this
A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.
What would change this score
New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.