Elevator and Escalator Installers and Repairers
47-4021.00Median wage $109,910/yr23,790 employed (US)Rank #899 of 923 scored · top 97% by substitution
Assemble, install, repair, or maintain electric or hydraulic freight or passenger elevators, escalators, or dumbwaiters.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution8
Exposure8
Augmentation32
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
20 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%8
panel mean rating 1.3/5 → substitution pressure 8/100
Technical feasibility todayw 20%6
panel mean rating 1.3/5 → substitution pressure 6/100
Cost vs. human wagew 15%6
panel mean rating 1.3/5 → substitution pressure 6/100
Adoption barriersw 20%inverted — strong barriers lower the score14
panel mean rating 4.4/5 (barrier strength) → substitution pressure 14/100
Sector adoption velocityw 10%3
panel mean rating 1.1/5 → substitution pressure 3/100
Task breakdown (20 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.
Maintain log books that detail all repairs and checks performed.
47CI 34–60 · exposure 50 · augmentation 63 · importance 4.4/5 · click for rater detail
Maintain log books that detail all repairs and checks performed.
47| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Elevator maintenance is a traditionally conservative, regulation-driven field with small firms and on-site physical work. Adoption of AI-assisted documentation is slow; most firms still use paper or basic manual digital entry despite digitalization opportunities elsewhere. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Elevator/escalator maintenance is a physical trades sector with historically slow digitization and cautious adoption of new software tools relative to fast-moving digital sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-powered transcription and form-filling assist technicians by auto-populating logbook fields from voice notes or photo uploads, reducing manual entry time and standardizing format. However, the technician must still verify technical accuracy and regulatory compliance, so augmentation is moderate rather than transformative. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-assisted dictation, templated forms, and auto-population from sensor/service data can meaningfully speed up and standardize log book entry while the technician remains responsible for accuracy. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Logbook maintenance is inherently a documentation task that AI could theoretically automate, but only after a technician has manually performed and documented the repairs. AI cannot perform the actual repairs or inspections, and would require human input to convert field observations into structured records, limiting time savings to perhaps 20–30%. |
| Task automatability | claude-sonnet-5 | 4/5 | Logging repairs and checks is largely structured documentation (dates, actions, parts, results) that dictation, mobile forms, and AI-assisted note-to-log conversion can handle with significant time savings, though field data entry and verification still require human input. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Elevator maintenance is heavily regulated (ASME A17 codes, local safety authorities); logbooks are often legal compliance documents that may require a licensed technician's signature or certification. Regulatory requirement for a human sign-off on documented work creates a hard barrier to full automation. |
| Adoption barriers | claude-sonnet-5 | 3/5 | Some jurisdictions require certified technicians to sign off on maintenance records for liability and code-compliance purposes, creating moderate barriers even if drafting is automated. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 3/5 | Automated data entry via transcription or form-filling costs roughly $0.10–1 per logbook entry (API calls, oversight), while a technician's loaded wage for 10–15 minutes of manual entry is ~$5–8. The costs are comparable when accounting for error-checking overhead. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Voice transcription and digital form-filling tools are cheap relative to technician time spent handwriting or typing logs, offering substantial savings despite integration and review costs. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | AI can extract and organize structured data from forms or voice recordings (transcription + OCR + data entry tools exist in production), but logbook creation requires accurate technical detail about elevator systems and compliance codes that current general-purpose AI struggles with reliably. Some products handle simple documentation but may miss critical details. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | CMMS and field service software with voice-to-text and templated entry are widely deployed, but full automation of accurate, technician-verified log entries in production remains limited and often still manually typed or checked. |
Read and interpret blueprints to determine the layout of system components, frameworks, and foundations, and to select installation equipment.
24CI 23–25 · exposure 25 · augmentation 50 · importance 4.4/5 · click for rater detail
Read and interpret blueprints to determine the layout of system components, frameworks, and foundations, and to select installation equipment.
24| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator and escalator installation is a traditionally manual, site-specific craft industry with slow digitization, small firms, and strong regulatory barriers. AI adoption in this sector remains minimal. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Construction and skilled trades are historically slow AI adopters; blueprint-reading AI is in early pilot stages in this sector, not widespread production use. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-assisted blueprint annotation, highlighting of key dimensions, and automated searches of equipment databases could meaningfully assist an installer or engineer in their review process, speeding up initial layout assessment without removing human judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help summarize blueprint details, flag component specs, or generate checklists, providing useful assistance while the technician retains interpretive and decision-making responsibility. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Reading blueprints and identifying component layouts can be partially aided by AI vision systems, but selecting appropriate installation equipment requires domain expertise, site-specific constraints, and judgment that current AI systems lack at production scale. Some automated annotation of blueprints is feasible, but end-to-end independent selection of equipment falls short of 50% time savings at equal quality. |
| Task automatability | claude-sonnet-5 | 2/5 | AI vision-language models can extract information from blueprints and summarize layouts, but reliably interpreting complex mechanical/structural drawings to drive physical installation decisions still requires human verification and on-site judgment.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | This task requires licensed elevator installers or engineers to sign off on system designs and equipment selection for safety and code compliance; liability for equipment selection errors is substantial, and regulatory bodies (ASME, local codes) mandate human professional accountability. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator installation is heavily regulated with certification/licensing requirements and safety codes, meaning a qualified professional must ultimately interpret and sign off on installation plans. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | The overhead of training domain-specific computer vision models, integrating them into workflows, and managing high error-correction costs currently exceeds the loaded wage of an experienced installer or engineer reviewing blueprints, especially given the cost of mistakes. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools could cheaply pre-process drawings, but the residual need for skilled technician review and liability for errors keeps overall automated cost comparable to or only modestly below human cost for this specialized task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can detect and classify architectural features in images, no deployed commercial system reliably interprets complex elevator/escalator blueprints and makes correct equipment selection decisions autonomously. Products exist for general blueprint OCR and annotation, but none demonstrate production-grade accuracy for this specialized mechanical engineering task. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some construction-tech products offer blueprint analysis and takeoff assistance, but no deployed system reliably performs full elevator-specific blueprint interpretation and equipment selection in production. |
Adjust safety controls, counterweights, door mechanisms, and components such as valves, ratchets, seals, and brake linings.
22CI 0–44 · exposure 36 · augmentation 38 · importance 4.4/5 · click for rater detail
Adjust safety controls, counterweights, door mechanisms, and components such as valves, ratchets, seals, and brake linings.
22| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator service is a specialized, fragmented industry with strong licensing and regulatory requirements; adoption of autonomous adjustment systems remains minimal and confined to a handful of forward-looking firms, with most work still performed by human technicians. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades like elevator repair have very low AI/robotics adoption; the physical, safety-critical, and regulated nature of the work keeps automation adoption minimal. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-powered diagnostic systems and measurement assistants (e.g., sensor integration, predictive alerting for component wear) could meaningfully assist technicians in identifying which adjustments are needed, though the physical adjustment and human certification remain essential. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with diagnostics, documentation, or referencing manuals/schematics, but it offers little direct help with the physical adjustment work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | This task involves adjusting mechanical components to precise specifications using measurements and diagnostics—processes that current industrial robots and vision-guided systems can perform with high accuracy and repeatability, potentially saving >50% of manual adjustment time while maintaining or improving quality. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on mechanical adjustment task requiring physical manipulation of hardware, torque application, and tactile feedback; no current AI system can perform physical adjustments. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevators and escalators are governed by strict safety codes (ASME A17.1, EN 81) that typically require a licensed, qualified human technician to perform and certify safety-critical adjustments; legal liability and mandatory human sign-off create hard regulatory barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Elevator and escalator work is heavily regulated, requires licensed/certified technicians, and involves major safety and liability implications, making automation legally and practically barred without human sign-off. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Specialized robotic systems, custom tooling, integration, and required on-site setup would be significantly more expensive than the loaded wage of a skilled technician performing these adjustments manually in the field. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical labor, so AI cost is not comparable—human labor remains the only option, making AI effectively infinitely costlier or inapplicable. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While robotic arms and CNC systems exist for similar precision mechanical tasks in manufacturing, no deployed commercial product demonstrably performs end-to-end elevator component adjustment in the field at scale; most automation remains laboratory or controlled-environment demonstrations. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical mechanical adjustment of elevator safety components; this remains purely a human physical/manual task with no robotics substitute in production. |
Cut prefabricated sections of framework, rails, and other components to specified dimensions.
18CI 5–30 · exposure 13 · augmentation 38 · importance 3.8/5 · click for rater detail
Cut prefabricated sections of framework, rails, and other components to specified dimensions.
18| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Elevator installation is a traditional, specialized field with limited digital adoption; while some shops use CNC, widespread AI-driven autonomous cutting without human verification has not penetrated this sector. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and building trades are among the slowest sectors to adopt AI/robotics, with elevator installation remaining a highly manual, site-specific craft. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-powered measurement tools and CNC programming can assist technicians by generating cutting specifications and previewing cuts, reducing manual layout time and rework, though human judgment remains central to final acceptance. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with measurement calculations or cut-list optimization via software, but offers minimal help with the physical cutting process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Cutting prefabricated sections to specified dimensions has some automatable elements (measurement, CNC cutting), but elevator/escalator components often require precise contextual fitting and quality verification that current AI systems cannot reliably perform end-to-end without human oversight and adjustment. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical cutting of metal components using power tools on-site, which current AI systems cannot perform end-to-end; robotics for this specific unstructured trade task is not viable today.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Safety certifications, building codes, and liability requirements for elevator systems create strong barriers: cuts must meet precise specifications and be traceable to code compliance, effectively requiring human sign-off on critical dimensions. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While not formally licensed for this specific cutting task, elevator work often requires certified mechanics, safety compliance, and precision fitting that create organizational and liability friction against automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | CNC cutting equipment and integration costs, combined with required human oversight and rework, make the all-in cost comparable to or higher than a skilled technician's loaded wage for small-batch, precision cutting. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic alternative for this physical fabrication task, so any hypothetical automation would require costly custom robotics far exceeding human labor costs. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While CNC cutting machines exist and can follow programs, no deployed AI system reliably handles the full task of measuring, adjusting, and quality-checking custom cuts for elevator components in real installation contexts without significant human intervention. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs on-site cutting of elevator/escalator framework and rails; this remains a manual skilled-trade activity with no robotic substitution in production. |
Check that safety regulations and building codes are met, and complete service reports verifying conformance to standards.
13CI 9–18 · exposure 20 · augmentation 50 · importance 4.5/5 · click for rater detail
Check that safety regulations and building codes are met, and complete service reports verifying conformance to standards.
13| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator/escalator service remains a traditional, highly regulated, on-site manual field with minimal digitization; adoption of AI automation is extremely limited due to licensing requirements and the critical safety nature of the work. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Elevator/escalator maintenance is a physical trades sector with low digitization and slow AI adoption for hands-on inspection work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could assist by cross-referencing building codes, drafting compliance checklists, or flagging common violations in service reports, speeding up documentation—but the core inspection and sign-off remain the technician's responsibility. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with generating and formatting service reports, cross-referencing code requirements, and flagging anomalies from sensor data, but the physical inspection itself still requires the human technician. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI could assist in reviewing building codes and generating initial compliance checklists, the task requires physical inspection of equipment, professional judgment about code conformance, and certification signature—activities that cannot be fully automated today without eliminating the human expert requirement entirely. |
| Task automatability | claude-sonnet-5 | 2/5 | The physical inspection of elevator components requires human presence and manual verification, though report writing itself could be partially automated; overall task remains largely hands-on and judgment-based. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator and escalator safety is heavily regulated; service reports must be signed off by licensed technicians, and many jurisdictions require in-person inspection and legal accountability for code compliance, creating hard licensing and liability barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Building codes and safety regulations typically require licensed, certified technicians to physically inspect and sign off on elevator/escalator conformance, creating a hard legal barrier to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | An AI compliance-checking tool would still require a licensed elevator technician on-site and to review/sign reports; the human cost dominates, making AI augmentation unlikely to achieve cost parity, let alone significant savings. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot yet substitute for the licensed technician's physical inspection, so there is no viable AI-only cost basis to compare against human labor for this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed AI system reliably performs end-to-end safety regulation checking and service report generation for elevators/escalators; this remains a domain requiring licensed technician expertise, on-site inspection, and legal accountability for code compliance. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical safety inspections of elevators/escalators; this remains a research-stage aspiration for robotics/sensors, not a production capability. |
Inspect wiring connections, control panel hookups, door installations, and alignments and clearances of cars and hoistways to ensure that equipment will operate properly.
5CI 0–10 · exposure 5 · augmentation 25 · importance 4.8/5 · click for rater detail
Inspect wiring connections, control panel hookups, door installations, and alignments and clearances of cars and hoistways to ensure that equipment will operate properly.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator service remains a traditional, licensed trade with strong union presence and regulatory oversight. Digital transformation in this sector is slow; companies rely on certified human technicians. There is minimal evidence of AI agent adoption in production for inspection work. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Elevator/escalator installation and repair is a physical trade with low digitization and no meaningful AI/robotic deployment trend in this sector. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could modestly assist by flagging suspicious wiring patterns or door alignment anomalies from uploaded images, helping technicians prioritize inspection areas. However, the core task (hands-on verification of safety-critical systems) leaves limited room for AI assistance without human presence. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-based diagnostic tools or checklists could assist in documenting or flagging anomalies from sensor data, but the core physical inspection and clearance verification still relies on human presence and judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical inspection of mechanical and electrical systems in three-dimensional spaces (hoistways, door alignments, clearances), hands-on testing, and judgment calls about safety margins that current AI cannot perform end-to-end. Vision-only systems cannot reliably assess clearances, detect micro-misalignments, or ensure compliance without physical presence. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical inspection of wiring, panels, doors, and mechanical alignments in real hoistways—current AI cannot physically manipulate or visually inspect these components end-to-end without embodied robotics. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator and escalator safety is heavily regulated (ASME codes, OSHA standards, state licensing). A licensed elevator technician must legally perform and certify inspections; liability for equipment failure falls on the installing/servicing company. Regulatory and legal barriers prevent full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator work is heavily regulated with licensing, code compliance, and safety certification requirements, and installers/repairers often must be licensed with inspections signed off by qualified humans. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task requires physical presence on-site, specialized equipment calibration, and real-time decision-making. Current AI vision systems would still need human technicians to actually be present and act on findings, making the combined cost exceed that of a human doing the work directly. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI system capable of substituting for this physical task, so cost comparison favors the human by default since AI cannot perform the core work. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI vision systems can identify some wiring issues or obvious defects from images/video, no deployed product reliably inspects the full scope (connections, control panels, door installations, clearances) or makes safety-critical sign-off decisions. Prototypes exist but lack the situational reasoning and physical verification required in production. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical elevator inspection and alignment verification; this remains a hands-on trade task requiring physical presence and tactile/visual judgment in the field. |
Operate elevators to determine power demands, and test power consumption to detect overload factors.
5CI 5–5 · exposure 0 · augmentation 25 · importance 4.2/5 · click for rater detail
Operate elevators to determine power demands, and test power consumption to detect overload factors.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator installation and repair remains a skilled trade with limited digitization and no meaningful AI deployment; the sector is characterized by physical on-site work requiring specialized human expertise and certification. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Building trades and physical equipment maintenance sectors show minimal AI agent adoption for hands-on inspection and testing work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist by analyzing historical power data or alerting to anomalies if integrated with IoT sensors, but it cannot replace the technician's hands-on operation and judgment in real-time testing scenarios. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-enabled diagnostic software or sensors could help interpret power consumption data collected by the technician, offering modest analytical assistance, but the core physical operation and testing remains manual. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical operation of elevator controls, real-time assessment of power readings, and troubleshooting of mechanical/electrical systems based on observed behavior. Current AI cannot autonomously operate physical elevator equipment or interpret on-site power diagnostics. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical presence at the elevator, hands-on operation, and use of electrical testing equipment on physical machinery, which current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Building codes and safety regulations typically require licensed elevator technicians to perform power testing and diagnostics to ensure compliance and liability protection. This legal requirement for a qualified human creates a substantial barrier to automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator work is subject to safety codes, licensing requirements for technicians, and liability concerns given the risk to public safety, creating strong barriers to non-human execution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems cannot perform this task at all, so the cost comparison is moot; a human technician must do the work, and AI offers no cost displacement. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical inspection task, so AI cost is effectively infinite relative to a human technician who can actually do it. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can physically operate an elevator to test power consumption or detect overload conditions. This requires embodied action and real-time sensor interpretation in a physical environment that current systems cannot perform. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product operates elevators and physically tests power consumption; this remains a manual, on-site diagnostic task performed by technicians with meters and equipment. |
Participate in additional training to keep skills up to date.
4CI 0–7 · exposure 0 · augmentation 38 · importance 4.3/5 · click for rater detail
Participate in additional training to keep skills up to date.
4| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task occurs in a highly regulated, unionized, physically-grounded sector with low digitization; adoption of AI for training participation is not occurring because regulatory and contractual frameworks require human workers to personally complete training. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Skilled trades like elevator installation are physical, low-digitization sectors with slow AI adoption for the actual craft work, though e-learning platforms are used for training delivery. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could modestly assist with training through tutoring systems or documentation review, but the core task—a worker's active participation in skill development—remains irreducibly human, limiting augmentation value. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-powered e-learning tools, simulations, and adaptive training platforms can help deliver and personalize content, improving training efficiency even though the human must still do the learning. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Training participation is fundamentally a human activity requiring consciousness, engagement, and skill internalization; AI cannot substitute for the learning process itself or participate in training programs designed for human workers. |
| Task automatability | claude-sonnet-5 | 1/5 | The task itself is a human learning activity involving physical skill acquisition, hands-on practice, and certification; AI cannot 'participate in training' on behalf of the worker. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Strong barriers exist: union apprenticeship requirements, licensing regulations, and industry standards mandate that individual workers complete their own certified training to maintain credentials and legal working status. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Licensing and certification requirements for elevator mechanics typically mandate continuing education completed by the licensed individual, creating a structural barrier to any substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of AI systems cannot be compared meaningfully to training participation, since training is a human capital investment rather than a task where AI substitutes for labor output. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this task, so no cost comparison for automation applies; the human must undergo training regardless. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product can participate in vocational training on behalf of a human worker; this requires human presence and cognitive engagement that AI cannot replace. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs the act of skill acquisition or hands-on training for a technician; this is inherently a human developmental activity. |
Assemble, install, repair, and maintain elevators, escalators, moving sidewalks, and dumbwaiters, using hand and power tools, and testing devices such as test lamps, ammeters, and voltmeters.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.6/5 · click for rater detail
Assemble, install, repair, and maintain elevators, escalators, moving sidewalks, and dumbwaiters, using hand and power tools, and testing devices such as test lamps, ammeters, and voltmeters.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This is a physical, hands-on trade in construction and facility management—sectors with low AI automation adoption overall. The work is geographically distributed, requires on-site presence, and involves physical problem-solving that shows no meaningful AI displacement in practice. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades and building maintenance are among the least digitized, lowest AI-adoption sectors, with virtually no production deployment of AI/robotics for this work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with documentation, code lookups, or remote diagnostics via video guidance, but the core task of physical assembly and repair leaves minimal room for AI augmentation. The technician must execute the work directly, limiting AI's role to marginal decision support. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics (e.g., analyzing sensor data, generating repair manuals or troubleshooting guidance) but offers limited help with the core physical installation and repair tasks. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical assembly, installation, and hands-on repair of heavy mechanical and electrical systems in varied on-site environments. Current AI systems cannot perform physical manipulation, climbing into elevator shafts, or real-time troubleshooting of complex electromechanical systems in the field. |
| Task automatability | claude-sonnet-5 | 1/5 | This is physical, hands-on installation and repair work requiring manipulation of heavy mechanical/electrical components in varied real-world conditions; current AI systems cannot perform the physical labor at all.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator installation and repair is heavily regulated and requires licensing (journeyman/master certifications vary by jurisdiction). Building codes, safety standards, and liability for system failures create hard legal and regulatory barriers that mandate human certification and sign-off on all work. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator and escalator work is heavily regulated with licensing, safety codes, and inspection requirements, and liability for malfunction (risk to life) is severe, creating strong barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems cannot perform this work at all, making cost comparison moot. The high loaded wage of skilled elevator technicians reflects the specialized knowledge and physical capability required, which no AI alternative exists to compete with. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical task, so any 'AI cost' comparison is moot—human technicians remain the only cost-effective option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can autonomously assemble elevators, diagnose mechanical failures on-site, or perform the precise physical installation and maintenance work described. This remains firmly in the domain requiring human technicians with specialized training and licensure. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed robotic or AI product installs, repairs, or maintains elevators/escalators in production; this remains far beyond current robotics capability for unstructured field work. |
Disassemble defective units, and repair or replace parts such as locks, gears, cables, and electric wiring.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.5/5 · click for rater detail
Disassemble defective units, and repair or replace parts such as locks, gears, cables, and electric wiring.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator repair is a physical, geographically distributed field with high skill barriers. Adoption of automation in this sector is minimal and remains limited to monitoring systems rather than actual repair work. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades involving physical equipment repair show minimal AI/robotic adoption; this sector is a laggard in automation of hands-on tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with diagnostic decision-support (e.g., recommending parts to replace based on symptoms) or documentation, but the core disassembly and hands-on repair work offers limited augmentation potential without autonomous robotic capability. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics, manuals, or troubleshooting guidance via mobile tools, but it provides limited direct support for the physical disassembly and repair work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical dexterity, spatial reasoning, and real-time problem-solving in constrained mechanical environments. Current AI systems cannot physically disassemble equipment, diagnose defects through hands-on inspection, or perform repairs without human control. |
| Task automatability | claude-sonnet-5 | 1/5 | This is hands-on physical diagnosis and repair of mechanical/electrical components requiring dexterity, physical strength, and situational judgment that current AI systems cannot perform without embodiment in a capable robot, which does not exist for this domain. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator and escalator repair is tightly regulated by building codes and safety standards that typically require licensed, certified technicians to perform or sign off on repairs. Liability exposure for automation is extremely high given safety-critical nature. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator repair is subject to safety codes, licensing, and inspection requirements in most jurisdictions, and liability for malfunctioning safety-critical equipment strongly favors certified human technicians. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The infrastructure cost of deploying specialized repair robots far exceeds the loaded wage of a skilled technician, and current robot systems cannot match the dexterity and speed of trained human repairers. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-driven substitute performing this physical repair work, so any hypothetical robotic system would be far costlier than a human technician today. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs end-to-end disassembly and repair of elevators or escalators autonomously. Robotics for precision mechanical repair in these contexts remain experimental and lack the adaptability needed for diverse defect scenarios. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously disassembles elevator units or replaces mechanical parts like gears and cables; this remains far beyond current robotics/AI capabilities in production. |
Assemble elevator cars, installing each car's platform, walls, and doors.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.5/5 · click for rater detail
Assemble elevator cars, installing each car's platform, walls, and doors.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | The elevator installation industry comprises small, specialized firms with low digitization and heavy reliance on skilled trades. Adoption of advanced automation in this sector is minimal; work remains manual and localized. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades sectors show very low AI/robotic adoption for physical installation tasks, with automation limited to design/planning support rather than hands-on assembly. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with minor tasks such as procedure documentation or safety checklists, but the core assembly work—physical installation of platforms, walls, and doors—offers limited scope for human-in-the-loop augmentation. The task is fundamentally hands-on mechanical work where AI contribution is marginal. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with specifications, diagrams, or scheduling, but offers minimal direct assistance to the physical process of assembling car platforms, walls, and doors. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Elevator car assembly involves physical manipulation of large, heavy components in confined spaces, precision alignment, and contextual problem-solving. Current robotics and AI systems lack the dexterity, mobility, and real-time environmental adaptation needed to handle the spatial reasoning and mechanical tolerances required for this physical assembly task. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical assembly task involving heavy components, precise fitting, and manual installation in confined shafts, which current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator installation and repair are heavily regulated by building codes, safety standards (ASME A17.1), and local jurisdiction requirements. Licensed, qualified technicians must perform or directly oversee this work, creating strong legal and liability barriers to automation or substitution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator installation is subject to strict safety codes, licensing, and inspection requirements, and liability for faulty assembly is high, creating strong regulatory and safety barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The capital investment in specialized robotics, custom fixtures, and integration to handle elevator car assembly would far exceed the cost of trained technicians. The task-specific nature makes generalized automation economically infeasible compared to human labor. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI/robotic substitute performing this physical assembly, so the human installer remains the only viable and thus cheaper option relative to any hypothetical automation. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI or robotic product exists that can autonomously assemble elevator cars end-to-end. This task remains a high-complexity domain requiring skilled human technicians; no production-scale solution is available today. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed robotic or AI product assembles elevator car platforms, walls, and doors in the field; this remains fully manual skilled trade work. |
Locate malfunctions in brakes, motors, switches, and signal and control systems, using test equipment.
3CI 0–5 · exposure 0 · augmentation 38 · importance 4.5/5 · click for rater detail
Locate malfunctions in brakes, motors, switches, and signal and control systems, using test equipment.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator installation and repair remains a heavily unionized, credentialed, and physically-bound trade with strong job security rules and slow digitization. Few firms have deployed AI-assisted diagnostics; adoption remains in the pilot stage at best. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Elevator/escalator maintenance is a low-digitization, physical trade sector with minimal AI-driven displacement or agentic adoption observed to date. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While remote monitoring and sensor data visualization could assist technicians in contextualizing faults before arrival, current AI systems offer minimal augmentation for the core diagnostic reasoning and hands-on test equipment operation required by this task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-powered diagnostic software and predictive maintenance analytics can help interpret sensor data and flag likely fault areas, assisting technicians in narrowing down issues before hands-on testing. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical access to and manipulation of complex electromechanical systems, visual inspection of components, and real-time diagnostic judgment in a safety-critical context. Current AI systems cannot operate test equipment, physically probe machines, or make on-site diagnostic decisions in the field. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical inspection, hands-on testing with meters and diagnostic tools inside mechanical/electrical systems, and manipulation of physical components—far beyond current AI's capabilities without embodiment.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Building and safety codes, ANSI standards, and insurance liability frameworks typically require a licensed elevator technician to perform or certify diagnostic work on life-safety systems. Legal and regulatory liability for a malfunction identified by automation would create hard barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator work is heavily regulated, requires licensed technicians, and carries significant safety liability, creating strong barriers against any automated substitution even if technically feasible. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of an AI system capable of remote diagnostics, combined with sensor infrastructure, data integration, and required human oversight for a safety-critical system, would far exceed the loaded wage of a trained technician performing this diagnostic work on-site. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot perform the physical diagnostic task at all, so there is no viable cost comparison—human technicians remain necessary and cheaper than any hypothetical automation attempt. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product reliably performs field-based electromechanical diagnostics on elevator systems. This requires specialized domain knowledge, access to machinery, and integration with proprietary test equipment that no general-purpose AI system handles in production. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously diagnoses elevator/escalator hardware faults in the field; this remains a physical trade skill performed by technicians. |
Bolt or weld steel rails to the walls of shafts to guide elevators, working from scaffolding or platforms.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.5/5 · click for rater detail
Bolt or weld steel rails to the walls of shafts to guide elevators, working from scaffolding or platforms.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator installation is a specialized, heavily regulated field with limited digital transformation. The physical, on-site nature of the work and strict licensing requirements mean adoption of AI automation remains negligible. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and elevator installation trades show minimal AI/robotics adoption for physical installation tasks, remaining a laggard, low-digitization sector. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI offers minimal assistance for this hands-on physical task. While augmented reality could help with blueprint visualization or measurement guidance, the core bolting and welding require direct human skill and cannot be meaningfully augmented by current AI systems. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with planning, measurements, or layout calculations beforehand, but offers little direct assistance during the physical bolting/welding work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical positioning, bolting/welding in tight spaces within elevator shafts, and real-time safety decisions that current AI robotic systems cannot reliably perform end-to-end. The dexterity, spatial reasoning, and environmental adaptation demands exceed what deployed automation can achieve. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical construction task requiring precise manual installation of heavy steel rails in confined vertical shafts; no current AI or robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has hard regulatory barriers: licensed elevator installers must legally perform or directly supervise safety-critical installation work in elevator shafts. Building codes and elevator safety standards typically mandate human licensure and on-site inspection. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator installation is heavily regulated with safety codes, inspections, and often requires certified/licensed trade personnel, creating strong structural barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Deploying a robotic system capable of this task—including platforms, welding equipment, safety systems, and integration—would cost far more than the loaded wage of a skilled installer performing the work directly. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI or robotic substitute, so any hypothetical automation would require expensive custom robotics far exceeding human labor cost for this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No production system today can autonomously bolt or weld steel rails in elevator shafts. While welding robots exist in controlled factory settings, the unstructured shaft environment, safety constraints, and precision fit requirements remain beyond deployed capabilities. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed products install or align elevator guide rails; this remains entirely manual skilled trade work performed from scaffolding. |
Connect electrical wiring to control panels and electric motors.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.4/5 · click for rater detail
Connect electrical wiring to control panels and electric motors.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator/escalator installation is a traditional, hands-on trade with minimal digitization. Adoption of autonomous systems in this sector is negligible; workers remain embedded in physical, regulated, and safety-critical environments. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | The elevator/escalator installation trade is a physical, low-digitization field with minimal AI or robotic adoption in hands-on wiring tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with wiring diagram interpretation or compliance checking, but the core task—physically connecting wires and testing circuits—offers limited scope for meaningful augmentation while the human remains in direct control. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with wiring diagrams, documentation, or diagnostic troubleshooting guidance, but offers little direct help with the physical act of connecting wiring. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation in constrained spaces, real-time problem-solving with electrical systems, and adherence to safety codes. Current AI and robotics cannot reliably perform end-to-end electrical installation with the dexterity and contextual judgment needed. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical dexterity to manipulate wires, tools, and components in confined mechanical spaces, which is well beyond current AI and robotics capability for general deployment. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work is heavily regulated; jurisdictions require licensed electricians to perform or sign off on installations. Building codes, safety standards, and liability requirements create hard legal barriers to automation of this task. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work on elevators is subject to licensing, electrical codes, and safety inspections, requiring certified professionals to perform and sign off on installations. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The specialized equipment, safety oversight, and liability exposure make autonomous electrical installation prohibitively expensive compared to hiring a trained electrician or elevator technician. Integration and inspection costs far exceed human labor for this safety-critical task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-driven substitute for this physical task, so any AI-based approach would be far more expensive or simply infeasible compared to a human technician. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed products perform electrical wiring and control panel connection autonomously in field conditions. This remains a skilled manual task requiring human expertise, on-site inspection, and compliance verification that production AI systems do not handle. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical electrical wiring connections for elevator/escalator systems; this remains firmly manual skilled trade work. |
Test newly installed equipment to ensure that it meets specifications, such as stopping at floors for set amounts of time.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail
Test newly installed equipment to ensure that it meets specifications, such as stopping at floors for set amounts of time.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator installation and repair remains a small, locally-rooted, physically-intensive sector with limited digitization. Adoption of automation in this trades-based occupation has been negligible; the workforce is not shifting toward AI-augmented or autonomous systems. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Elevator installation and repair is a physical, low-digitization trade with minimal AI/robotics adoption in the field currently. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by logging test data or cross-referencing specifications against standards documents, but the core task—physically testing equipment and making go/no-go judgments—relies on hands-on inspection and professional expertise that AI cannot meaningfully enhance today. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with logging test data, generating compliance reports, or flagging anomalies in sensor readings, but this is a minor part of the overall physical testing process. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical testing of mechanical and electrical systems in three-dimensional space, including verifying timing, sensor function, and safety mechanisms. Current AI lacks the embodied capability to physically interact with equipment or reliably diagnose complex electromechanical systems without human oversight. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical inspection, calibration, and hands-on testing of mechanical/electrical elevator systems that current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Building codes and elevator safety regulations (ASME A17.1) mandate that qualified, licensed technicians conduct and sign off on installation testing and certification. Legal liability for equipment failure creates a hard regulatory barrier requiring human professional sign-off. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator installation and testing is heavily regulated by safety codes and often requires licensed/certified technicians to sign off on compliance, creating strong legal and liability barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task requires specialized technician labor costing $50–70+/hour with equipment access and liability insurance. AI systems cannot replicate this without expensive robotics, specialized sensors, and integration overhead—making total cost far exceed human labor for this safety-critical application. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for the physical testing work, so the human technician remains the only cost-effective option; AI cannot perform the core physical task at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can autonomously perform comprehensive elevator/escalator safety testing and validation. Such testing inherently requires physical presence, manual operation of controls, measurement devices, and judgment calls about specification compliance that depend on hands-on inspection. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical elevator commissioning tests; this remains a manual, on-site technician task requiring physical presence. |
Install electrical wires and controls by attaching conduit along shaft walls from floor to floor and pulling plastic-covered wires through the conduit.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.2/5 · click for rater detail
Install electrical wires and controls by attaching conduit along shaft walls from floor to floor and pulling plastic-covered wires through the conduit.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator installation is a physically embedded, skilled trade sector with low digitization and no meaningful AI adoption to date. The work requires on-site presence in varied building geometries, typical of laggard sectors. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades sectors show very low AI/automation adoption for physical installation tasks, remaining highly manual and low-digitization. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While digital tools might assist in planning conduit routes or documenting installations, AI offers minimal real-time assistance to the human performing the physical installation itself. The core task remains hands-on and relies on tactile feedback. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with wiring diagrams, code lookup, or planning conduit routes, but offers minimal help with the physical labor itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation in three-dimensional confined spaces (elevator shafts), precise spatial coordination, and real-time problem-solving with hardware. Current AI systems cannot perform the end-to-end physical installation and routing of wires through conduit without human intervention. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical installation task requiring manipulation of conduit, fasteners, and wires in confined shaft spaces, far beyond current robotic or AI system capability. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical installation work is regulated by building codes, requires licensed electricians in most jurisdictions, and involves liability for safety-critical infrastructure. Legal requirements and professional licensing create hard barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator work is heavily regulated with licensing, code compliance, and safety inspection requirements, plus significant liability for faulty electrical work in life-safety systems. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems capable of this task (if they existed) would require expensive robotics, custom integration, and extensive safety oversight, making the all-in cost far exceed the wages of a trained installer. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | No viable AI/robotic substitute exists, so any hypothetical automation would be far more costly than a human technician performing this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI products can autonomously install electrical conduit or pull wires through shafts in real building environments. This remains entirely in the domain of skilled manual labor with no meaningful automation in production. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs elevator shaft wiring installation; this remains entirely manual skilled trade work. |
Assemble electrically powered stairs, steel frameworks, and tracks, and install associated motors and electrical wiring.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.1/5 · click for rater detail
Assemble electrically powered stairs, steel frameworks, and tracks, and install associated motors and electrical wiring.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This occupation involves onsite physical construction and repair work in building interiors—a low-digitization, physically-bound sector showing minimal AI or automation adoption to date. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades sectors show minimal AI/robotic adoption for hands-on installation work, remaining a laggard sector for automation. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with documentation, diagnostics via image analysis, or scheduling, but adds minimal value to the core hands-on assembly and installation work that dominates the task. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with technical documentation, wiring diagrams, or troubleshooting guidance, but offers little direct assistance during the physical assembly and installation process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires hands-on physical assembly and installation of heavy machinery, steel structures, and electrical systems in diverse building environments—work that demands dexterity, spatial reasoning, and real-time problem-solving that current AI systems cannot perform end-to-end without human intervention. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical assembly and installation task requiring manual manipulation of heavy steel components, precision alignment, and wiring in varied field conditions—no current AI system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Installation and repair of elevators and escalators is tightly regulated by building codes and safety standards that legally require licensed, trained human technicians to perform and certify the work; liability for failure is substantial and non-delegable. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator/escalator installation is subject to safety codes, licensing, inspection requirements, and liability concerns that mandate qualified human tradespeople for structural and electrical work. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The capital cost of robotic systems capable of this assembly work, combined with integration and safety oversight, far exceeds the loaded wage of a trained elevator installer for the foreseeable future. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical labor, so any AI-based approach would require expensive robotics far exceeding human labor costs for this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can autonomously assemble escalator stairs, install steel frameworks, or wire electrical systems; this remains firmly in the domain of skilled human technicians with specialized tools and physical presence. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed robotic or AI product installs escalator frameworks, motors, and wiring in production; this remains firmly in the domain of skilled trades labor. |
Attach guide shoes and rollers to minimize the lateral motion of cars as they travel through shafts.
3CI 0–5 · exposure 0 · augmentation 25 · importance 3.9/5 · click for rater detail
Attach guide shoes and rollers to minimize the lateral motion of cars as they travel through shafts.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | The elevator installation and repair sector is traditionally low-digitization, small-firm, and physically localized; adoption of AI or automation in this domain is minimal and limited by regulatory constraints and the craft-based nature of the work. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Elevator installation and repair is a physical trade with low digitization and no meaningful AI/robotic adoption trend for this hands-on task. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While digital tools (CAD, measurement apps, diagnostic sensors) can assist technicians in planning and quality-checking, AI offers minimal real-time assistance during the actual physical task of attaching and aligning components by hand. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with diagnostics, documentation, or planning alignment specs, but offers minimal help with the actual physical attachment work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation in three-dimensional space—positioning and securing mechanical components (guide shoes and rollers) to exacting tolerances on elevator cars in shafts. Current AI lacks embodied robotics capable of reliably performing this hands-on mechanical assembly work in varied, confined environments. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on mechanical installation task requiring physical manipulation of hardware in tight shaft spaces; no current AI system can perform this physical work. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Elevator installation and repair is heavily regulated by building codes, safety standards (ASME A17.1, local permitting), and licensing requirements; a certified, licensed elevator mechanic must legally perform or directly supervise this work, creating a hard regulatory and liability barrier. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator work is heavily regulated, requires certified/licensed technicians, and involves significant safety and liability concerns tied to physical installation in shafts. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of robotic systems, specialized fixtures, and integration required to automate this task vastly exceeds the loaded wage of a skilled elevator technician, particularly given the low volume and high variability of installations. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI or robotic substitute performing this physical task, so AI cost is effectively infinite relative to a human technician's wage. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI systems or robots currently perform elevator component installation and alignment as a standalone, end-to-end task in production settings. This remains a specialized skilled trade requiring human workers and human judgment. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical attachment of guide shoes/rollers; this remains purely manual skilled labor with no robotic or AI product in production for this specific task. |
Install outer doors and door frames at elevator entrances on each floor of a structure.
3CI 0–5 · exposure 0 · augmentation 25 · importance 3.8/5 · click for rater detail
Install outer doors and door frames at elevator entrances on each floor of a structure.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction trades remain among the slowest-adopting sectors for AI and automation, with installation work highly dependent on site-specific conditions, manual dexterity, and on-location problem-solving. Deployment of capable robotic systems in this domain is minimal. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and building trades are among the slowest sectors to adopt AI/robotic automation for physical installation work, with minimal displacement occurring. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While AI tools might assist with design planning or measurement documentation, the core installation task—physical assembly and fitting—offers limited scope for meaningful AI augmentation without removing the human from the loop entirely, which is not currently feasible. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with measurement calculations, scheduling, or documentation, but offers minimal direct support for the physical act of installing doors and frames. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation in varying architectural contexts, custom fitting of doors and frames to individual floor layouts, and real-time problem-solving on-site. Current AI systems lack embodied robotics capable of handling the spatial reasoning, tool operation, and quality assurance needed for safe, code-compliant installation at scale. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical installation task requiring precise fitting, alignment, drilling, and structural fastening of heavy doors and frames in varied building conditions—no current AI/robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Building codes, safety regulations, and fire safety requirements mandate that structural modifications and door installations meet specific standards and often require a licensed professional's sign-off. Liability exposure for improper installation is high, and many jurisdictions legally require human inspection and certification. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Elevator installation is heavily regulated (building codes, safety certifications, licensing requirements for elevator mechanics), and improper installation carries serious liability and safety risk. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotics and AI systems for construction tasks remain far more expensive than trained human installers when accounting for hardware, integration, site adaptation, and liability oversight. The human wage cost is substantially lower than the all-in AI cost. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI or robotic alternative for this physical task, so the human technician remains the only cost-effective and functional option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial product can autonomously install doors and frames on elevator entrances. This requires coordinated robotic systems with perception, manipulation, and structural understanding that do not exist in production environments. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product installs elevator door frames; this remains a manual skilled-trade activity performed by human technicians on-site. |
Connect car frames to counterweights, using steel cables.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.4/5 · click for rater detail
Connect car frames to counterweights, using steel cables.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Elevator/escalator installation is a traditional skilled trade in small firms and on-site settings with low automation penetration. There is no evidence of AI or robotic adoption in production for this task. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and building trades are among the slowest sectors to adopt AI/robotics for physical installation work, with virtually no production deployment for this task. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AR visualization or cable-tension guidance tools could offer minor assistance in planning or measurement, but the core task of physically connecting under load requires human judgment and hands-on control that AI augmentation cannot meaningfully enhance today. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI may assist with diagnostics, documentation, or planning schematics, but offers little direct assistance for the physical cable-connection work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation in confined spaces with precise tensioning of steel cables—inherently embodied work that current AI systems cannot perform. No generalist or specialized robot can reliably connect frames to counterweights at the speed and safety standard required today. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on physical rigging task requiring precise mechanical assembly in confined shafts; no current AI/robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This work is covered by building codes, OSHA regulations, and union agreements that typically require a licensed, trained human installer to perform and sign off on safety-critical structural work. Liability asymmetry is extreme—failures cause deaths. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Elevator installation is heavily regulated, requires licensed/certified technicians, and involves severe safety and liability consequences for errors, making substitution essentially barred. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A specialized installer's loaded wage is ~$25–35/hour; the capital and operational cost of a capable robotic system would far exceed this, with ongoing maintenance and very limited applicability across job sites. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI or robotic alternative performing this task, so AI cost is effectively infinite relative to a human technician's wage. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product performs this task. It demands dexterous manipulation, force feedback, and real-time environmental adaptation in vertical installations—capabilities that remain research-stage for autonomous systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product exists that connects elevator car frames to counterweights; this remains purely a skilled trade manual task. |
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.