Electricians
47-2111.00Median wage $63,190/yr757,220 employed (US)Rank #835 of 923 scored · top 90% by substitution
Install, maintain, and repair electrical wiring, equipment, and fixtures. Ensure that work is in accordance with relevant codes. May install or service street lights, intercom systems, or electrical control systems.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution13
Exposure12
Augmentation36
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
21 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%13
panel mean rating 1.5/5 → substitution pressure 13/100
Technical feasibility todayw 20%11
panel mean rating 1.5/5 → substitution pressure 11/100
Cost vs. human wagew 15%10
panel mean rating 1.4/5 → substitution pressure 10/100
Adoption barriersw 20%inverted — strong barriers lower the score21
panel mean rating 4.2/5 (barrier strength) → substitution pressure 21/100
Sector adoption velocityw 10%9
panel mean rating 1.3/5 → substitution pressure 9/100
Task breakdown (21 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.
Perform business management duties, such as maintaining records or files, preparing reports, or ordering supplies or equipment.
67CI 56–79 · exposure 62 · augmentation 63 · importance 3.7/5 · click for rater detail
Perform business management duties, such as maintaining records or files, preparing reports, or ordering supplies or equipment.
67| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 4/5 | Information-sector and professional-services organizations—electrician companies included if they're larger firms—are adopting RPA and automated accounting/procurement at rapid pace. Cloud-based accounting and inventory systems are standard, reflecting fast, deep adoption. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Electrical contracting is a small-business, trade-heavy sector with historically slow digitization and AI adoption compared to information/finance sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI tools assist electricians by auto-populating timesheets, suggesting templates for reports, and flagging missing records, improving task efficiency. However, augmentation is partial: judgment on supplier choice, budget decisions, and compliance remain human-driven. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI tools can meaningfully speed up drafting reports, organizing records, and generating purchase orders, letting electricians focus more time on skilled trade work. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | Most of these business management duties—record-keeping, file organization, report generation, and supply ordering—are highly automatable with current AI and RPA tools. Modern systems can handle data entry, categorization, report templating, and integration with procurement platforms, achieving >50% time savings at equal or better quality. |
| Task automatability | claude-sonnet-5 | 3/5 | Record-keeping, report drafting, and supply ordering are largely digital/text tasks that AI tools (spreadsheets, AI assistants, inventory software) can substantially speed up, though some physical inventory checks and judgment calls remain human.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | Adoption barriers are low; these are routine administrative tasks with no licensing requirement, legal signoff obligation, or mandatory human contact. Some organizational friction around system implementation exists, but nothing prevents substitution. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement mandates a human perform administrative tasks, though small business owners may prefer personal control over financial records and supplier relationships. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | Automated record-keeping, report generation, and supply ordering cost a small fraction of a full-time employee or administrative assistant's loaded wages. Integration and oversight are minimal after initial setup, making the AI cost order-of-magnitude cheaper. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Software subscriptions and AI assistants for bookkeeping and reporting cost far less than the hourly rate of a skilled electrician's time spent on paperwork, though some setup and review cost remains. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Mature deployed products (document management systems, RPA platforms, accounting software, procurement automation) reliably perform these tasks in production at scale across many industries. Error rates are low for structured data, though judgment on supplier selection or report nuance may still require review. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Off-the-shelf accounting/inventory software and AI writing assistants are widely deployed for small business admin, but integration into a given electrician's specific workflow varies and requires human oversight for accuracy. |
Prepare sketches or follow blueprints to determine the location of wiring or equipment and to ensure conformance to building and safety codes.
49CI 25–74 · exposure 58 · augmentation 63 · importance 4.6/5 · click for rater detail
Prepare sketches or follow blueprints to determine the location of wiring or equipment and to ensure conformance to building and safety codes.
49| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Construction and electrical trades remain relatively low-digitization, small-firm-dominated sectors with slow adoption of integrated AI workflows. While blueprint software is widespread, AI-driven compliance automation and location planning are still emerging in practice rather than deeply deployed. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Construction trades adopt digital tools slowly compared to information-sector industries; blueprint/code-checking AI is still in early pilot stages within this field. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI significantly assists electricians by rapidly processing blueprints, flagging code conflicts, and suggesting compliant wiring routes, substantially raising productivity in the planning phase while the electrician retains decision-making authority and final sign-off. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by quickly summarizing code requirements, flagging potential violations, or annotating sketches, improving efficiency while the electrician still makes final decisions. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | AI can now reliably interpret blueprints, extract spatial data, and cross-reference it against building codes and safety standards. Computer vision and document understanding systems can automate sketch/blueprint analysis and code-compliance checking with >50% time savings at equal or better accuracy compared to manual review. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help interpret blueprints and check code references, but physically translating this into on-site wiring layout decisions requires spatial judgment and site-specific verification that current systems cannot fully replace. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Building codes and safety sign-off remain a human responsibility in most jurisdictions, and electricians must ultimately verify and sign off on work, creating oversight friction; however, no explicit licensing barrier prevents AI from assisting in the preparation and checking phase. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is heavily regulated, often requiring licensed electricians to interpret and certify code conformance, with real liability for safety violations. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | AI-based blueprint analysis and code checking costs are a small fraction of a skilled electrician's hourly rate; the per-task inference and integration cost is likely one order of magnitude cheaper than paying an electrician to manually review and sketch locations. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools for plan review are cheap per query, but the overall task still requires a licensed electrician's judgment and field verification, keeping human labor cost dominant. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Mature products exist for blueprint interpretation, code compliance checking, and spatial analysis in construction software; however, integration with diverse code jurisdictions and edge cases in legacy or unusual layouts still require some human oversight, preventing a full 5 rating. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some construction-tech products offer plan markup and code-check assistance, but no deployed product reliably performs full blueprint interpretation plus code conformance decisions for electricians at scale. |
Provide preliminary sketches or cost estimates for materials or services.
28CI 25–30 · exposure 25 · augmentation 63 · importance 3.7/5 · click for rater detail
Provide preliminary sketches or cost estimates for materials or services.
28| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Electricians and small trades remain relatively low-adoption sectors for AI agents. While some larger firms use estimation software, deployment of AI-driven sketching and costing in production electrician workflows remains rare. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Construction and trades sectors have historically slow AI adoption, with estimating software seeing gradual improvements but not widespread autonomous AI-driven estimating in practice. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist an electrician by rapidly generating preliminary cost lists and material quantities for review, or proposing sketch layouts to be refined. This raises productivity on the estimation phase, though human judgment remains essential for validation. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-powered estimating and sketching tools (e.g., takeoff software, generative design aids) can meaningfully speed up drafting preliminary estimates while the electrician still finalizes and verifies for accuracy. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can assist with cost lookups and generate rough material lists from descriptions, but preliminary sketches require spatial reasoning, on-site constraints, and professional judgment about feasibility that current systems struggle with consistently. Significant human review and modification are needed. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help draft rough estimates or templates, but accurate sketches and cost estimates require site-specific knowledge, material pricing familiarity, and code compliance judgment that current AI cannot reliably gather end-to-end.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Electrical work is heavily regulated; sketches and estimates must often be signed by a licensed electrician who takes liability for accuracy. Professional licensing and liability requirements create a hard barrier to full automation. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No strict licensing requirement for producing estimates, but liability for inaccurate bids and client trust in a professional's judgment create moderate friction against pure automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Integration costs, subscription fees for tools, and the overhead of supervising and correcting AI outputs mean the all-in cost approaches or exceeds the cost of a junior electrician performing rough estimation themselves. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools can lower estimating time somewhat, but the need for licensed human review, site visits, and liability for accuracy keeps costs closer to comparable rather than order-of-magnitude cheaper. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Tools exist for cost estimation lookup and basic CAD, but they require substantial manual input and produce outputs that electricians rarely use without heavy revision. No mature product reliably handles the site-specific complexity of electrical preliminary work. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Some estimating software includes AI-assisted takeoffs, but electricians still manually verify site conditions and pricing; no product autonomously produces reliable sketches or bids without human input. |
Plan layout and installation of electrical wiring, equipment, or fixtures, based on job specifications and local codes.
23CI 20–25 · exposure 20 · augmentation 50 · importance 4.2/5 · click for rater detail
Plan layout and installation of electrical wiring, equipment, or fixtures, based on job specifications and local codes.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Electricians and small electrical contractors show modest adoption of digital tools and AI assistance; the sector remains heavily fragmented with many small firms using traditional methods. Broad production-level AI adoption in electrical planning is still limited. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Construction and trades sectors are traditionally slow adopters of AI compared to information/professional services, with only nascent use of AI-assisted design tools. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can usefully assist electricians by automating code lookups, suggesting standard layouts, and generating visualizations, thereby speeding up plan drafting. However, the human electrician must validate all output against site conditions and regulations. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI tools can help electricians look up code requirements, generate draft layouts, or estimate materials, offering moderate productivity gains while the electrician retains responsibility for final planning. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with code checking and layout visualization, the task requires domain expertise in interpreting job specifications, site-specific constraints, and evolving local codes in ways that demand human judgment. Current AI lacks reliable end-to-end autonomy for planning electrical installations that meet safety and legal standards. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can assist with drafting layouts or checking code references, but planning installation requires on-site assessment, spatial reasoning about physical structures, and judgment calls that current systems cannot fully replicate end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Local electrical codes often require a licensed electrician to certify and sign off on installation plans, and liability for design errors falls on the responsible professional. These legal and regulatory requirements create substantial barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is heavily regulated, requiring licensed electricians to plan and sign off on installations per local code, with real safety and liability consequences for errors. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-assisted design tools have modest setup costs, but the loaded wage of an experienced electrician for planning work remains relatively low compared to professional AI services when integration and oversight are factored in. Cost parity is not yet achieved. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | While CAD/BIM software with AI features can reduce some design time, the human electrician's site inspection, code interpretation, and physical verification still dominate the cost of producing a usable plan. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Some CAD and code-checking tools exist, but deployed systems do not perform full electrical planning reliably without significant human oversight. Products handle isolated subtasks (e.g., code lookup, basic visualization) but lack the integrated judgment needed for production-ready planning. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously plans electrical wiring layouts and installations in real buildings; this remains a human-executed task with at most software-assisted design tools. |
Advise management on whether continued operation of equipment could be hazardous.
16CI 7–25 · exposure 13 · augmentation 50 · importance 3.9/5 · click for rater detail
Advise management on whether continued operation of equipment could be hazardous.
16| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Electrician services remain heavily localized, relationship-driven, and safety-critical with slow digital transformation. Adoption of AI advisors in this domain is nascent; most firms still rely on field inspection and human expertise. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Skilled trades like electrical work show slow, shallow AI adoption for physical safety judgments, though predictive maintenance sensors are gradually being integrated as decision-support tools. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can usefully assist by summarizing equipment history, highlighting failure patterns, and flagging code violations, helping electricians focus investigation time. However, the final hazard judgment remains human-centric, so augmentation is moderate rather than transformative. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-powered sensors, thermal imaging analysis, and predictive maintenance software can flag anomalies and support the electrician's hazard assessment, meaningfully aiding but not replacing the judgment task. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can analyze equipment logs and flagged diagnostic data to surface potential hazards, but the task requires integrating safety codes, regulatory context, on-site inspection insights, and professional judgment about risk tolerance. This is inherently a human sign-off role; AI might handle 20-30% of the analytical groundwork. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical inspection of equipment, real-world sensory judgment, and contextual expertise that no current AI system can perform end-to-end; it is not a text/data task amenable to automation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Strong legal and regulatory barriers exist: electricians are licensed professionals, liability for incorrect hazard assessments is asymmetric and costly, and most jurisdictions require a qualified person to certify equipment safety. Management relies on credentialed human judgment for compliance. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Liability for hazard determinations and safety sign-offs typically requires a licensed/qualified electrician, and error costs (injury, fire, equipment damage) create strong incentives to keep humans accountable. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Specialized safety advisory requires licensed electricians' time and legal accountability; an AI tool would reduce analysis time but cannot replace the human sign-off, so savings are partial. All-in cost remains comparable to or higher than a partial human consultation. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot independently perform the physical inspection and judgment call, so any AI involvement adds cost on top of the required human electrician rather than replacing them. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably advises management on equipment hazard continuation without human electrician review. While diagnostics systems exist, they do not meet the liability and judgment bar for autonomous safety recommendations in production environments. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product physically inspects electrical equipment and independently advises management on hazard status; this remains a human field-expert function, sometimes supplemented by sensor monitoring systems, not full task replacement. |
Diagnose malfunctioning systems, apparatus, or components, using test equipment and hand tools to locate the cause of a breakdown and correct the problem.
15CI 5–25 · exposure 13 · augmentation 50 · importance 4.0/5 · click for rater detail
Diagnose malfunctioning systems, apparatus, or components, using test equipment and hand tools to locate the cause of a breakdown and correct the problem.
15| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Electrical trades remain relatively low in digitization and AI adoption. While some large utilities use predictive maintenance software, small and mid-size electrician firms show minimal AI integration. The work is still largely field-based with low automation penetration across the sector. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades like electrical work are physical, low-digitization occupations with minimal AI/robotic adoption for hands-on diagnostic tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist electricians by suggesting fault diagnoses based on symptom patterns, helping interpret test equipment readings, or providing real-time reference to wiring diagrams and troubleshooting guides. These tools raise productivity on diagnostic reasoning, but the human remains central to physical testing and final judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with reference lookup, troubleshooting guides, wiring diagram interpretation, or logging fault codes, aiding but not replacing the electrician's hands-on diagnostic process. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Diagnosis requires interpreting complex electrical systems, understanding failure modes, and making context-dependent judgments about root causes. While AI can assist with circuit analysis and suggest common fault patterns, the full task—especially the hands-on testing with equipment and correction—remains predominantly manual and requires physical presence and real-time troubleshooting judgment. |
| Task automatability | claude-sonnet-5 | 1/5 | Diagnosing electrical faults requires physical inspection, use of meters/test equipment, and hands-on tracing of circuits in variable real-world environments, which current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Licensing and legal liability are significant barriers: electricians must be licensed/certified to perform electrical diagnostics and repairs for safety and code compliance. Regulatory frameworks (electrical codes, safety standards) effectively require human professional responsibility, creating hard adoption barriers. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work often requires licensure, code compliance, and liability for safety hazards (fire, shock), creating strong barriers against non-human execution of diagnosis and repair. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | The cost of AI diagnostic tools plus human oversight and physical intervention by trained technicians is comparable to or exceeds the cost of direct human diagnosis. The requirement for expensive specialized test equipment and field presence limits cost advantage. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI system replacing the physical diagnostic and repair labor, so AI cost is not comparable—human labor is still required for the core work. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Current AI systems can help with documentation review and fault prediction, but no deployed product reliably diagnoses malfunctioning electrical systems end-to-end. Production systems lack the ability to operate test equipment, interpret real-time sensor data across diverse installations, and adapt to novel failure modes in the field. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously diagnoses and physically corrects electrical breakdowns; this remains a manual, on-site skilled trade task. |
Inspect electrical systems, equipment, or components to identify hazards, defects, or the need for adjustment or repair, and to ensure compliance with codes.
15CI 9–21 · exposure 20 · augmentation 50 · importance 4.0/5 · click for rater detail
Inspect electrical systems, equipment, or components to identify hazards, defects, or the need for adjustment or repair, and to ensure compliance with codes.
15| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Electrical contracting remains fragmented across small and mid-size firms with lower digitization. While some large utilities experiment with drone and AI-assisted inspections, mainstream adoption of autonomous systems is slow, limited mainly to pilot projects in high-value infrastructure. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the slowest sectors to adopt AI/automation due to physical, on-site, and licensing-dependent nature of the work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-assisted visual inspection tools can help electricians flag suspect areas and prioritize defects, reducing time scanning for anomalies. However, augmentation is modest because the core cognitive task—code judgment and hazard reasoning—remains primarily human-driven, and inspection fundamentally requires on-site presence. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help electricians look up code requirements, generate inspection checklists, analyze thermal imaging or sensor data, and draft compliance reports, meaningfully aiding but not replacing the inspection process. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Inspections require navigating physical spaces, visually assessing conditions, and making nuanced safety judgments. While AI vision systems can flag anomalies in images, end-to-end inspection—including accessing equipment, testing circuits, and documenting compliance—remains heavily dependent on human presence and tactile assessment. |
| Task automatability | claude-sonnet-5 | 2/5 | Inspection requires physical presence, hands-on testing (continuity, insulation resistance), and visual/tactile assessment of hazards that current AI cannot perform end-to-end; AI can assist with documentation and code lookup but not the core physical inspection. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical inspections are subject to rigorous building and safety codes that typically require a licensed electrician to perform and certify the work. Legal liability for missed hazards creates strong disincentives to full automation, and jurisdictions mandate human licensure for compliance sign-off. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is heavily regulated, often requiring licensed electricians to inspect and sign off for code compliance, with significant liability for missed hazards, creating strong barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Current AI vision and inspection tools require significant integration, human oversight for validation, and often operate alongside rather than replacing the inspection technician. The all-in cost per reliable inspection still exceeds the loaded labor cost. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot replace the physical inspection labor and equipment testing, so the human cost remains dominant; any AI tools are supplementary, not substitutive at scale. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Computer vision for defect detection exists in research and narrow applications, but deployed products cannot reliably perform full electrical inspections without human oversight. Code compliance assessment and hazard identification remain largely manual or rule-based, not yet autonomous. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously performs physical electrical inspections in the field today; sensor/drone-based inspection for large infrastructure exists narrowly but not for general electrician site inspections. |
Construct or fabricate parts, using hand tools, according to specifications.
11CI 10–13 · exposure 0 · augmentation 25 · importance 3.9/5 · click for rater detail
Construct or fabricate parts, using hand tools, according to specifications.
11| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Adoption of AI for fabrication is slow in electrician-dominated sectors. Most electrical work still relies on skilled hand labor, and small to mid-sized electrical firms have limited capital for automation. Factory settings show more adoption, but those are outside the primary electrician occupational context. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades remain among the least digitized, lowest AI-adoption sectors, with physical fieldwork like this seeing negligible AI integration. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI offers minimal assistance for the core hand-tool fabrication task itself. Digital tools for design specification and measurement checking provide some support, but they do not meaningfully augment the hands-on construction process or substantially raise productivity of the human fabricator. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with generating specifications, cut lists, or measurement calculations beforehand, but offers little direct help during the physical hand-tool fabrication process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Constructing or fabricating physical parts with hand tools requires dexterous manipulation of materials in three-dimensional space, real-time error correction, and adaptation to material variations. Current AI systems lack embodied manipulation capabilities at the precision and speed required to achieve 50% time savings while maintaining quality. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical fabrication task requiring manual dexterity, hand-tool manipulation, and situational judgment that current AI systems cannot perform without embodiment; no software-only AI can execute this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | While hand fabrication is not legally restricted to licensed electricians, apprenticeship standards and union requirements in some jurisdictions create moderate organizational and training barriers. Safety protocols and quality standards also introduce oversight friction. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While no formal licensing mandates a human specifically fabricate parts, safety codes, on-site variability, and physical dexterity requirements create strong practical barriers to automation even without legal ones. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Acquiring, programming, and maintaining robotic fabrication systems costs substantially more than the wage of a skilled electrician, especially when accounting for the custom integration required for varied part specifications and the need for human oversight and troubleshooting. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic substitute performing this task at any scale, so AI cost per task-equivalent is effectively infinite compared to a human electrician's wage. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product reliably performs end-to-end hand-tool fabrication of parts in production settings. Robotic systems exist for specific manufacturing tasks, but they require extensive custom programming and cannot match the flexibility and adaptability of skilled hand fabrication. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs hand-tool part fabrication for electricians; robotics for such flexible, low-volume custom fabrication remains research-stage or confined to narrow industrial contexts. |
Perform physically demanding tasks, such as digging trenches to lay conduit or moving or lifting heavy objects.
10CI 5–15 · exposure 0 · augmentation 25 · importance 3.6/5 · click for rater detail
Perform physically demanding tasks, such as digging trenches to lay conduit or moving or lifting heavy objects.
10| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Physical trades remain low-digitization sectors with minimal AI agent deployment; heavy equipment automation has progressed slowly outside mining and large construction firms. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the least digitized, slowest-adopting sectors for AI/robotics, with heavy equipment automation still niche and pilot-stage. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Power tools and equipment assist effort, but current AI offers minimal augmentation to the decision-making or execution of physically demanding tasks like trenching and heavy lifting. |
| Augmentation potential | claude-sonnet-5 | 2/5 | Existing tools (trenchers, hoists, exoskeletons) aid this work but are not AI-driven; AI planning tools might optimize trenching layout but do not assist the physical labor itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires mobile manipulation in unstructured outdoor/underground environments. Current AI systems cannot reliably operate humanoid robots or heavy excavation equipment for extended manual work with the dexterity and environmental adaptability required. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical manual labor (digging, lifting) that current AI systems, which are primarily software-based, cannot perform; robotics for this exact task is not commercially deployed. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Occupational safety regulations, worker compensation liability, and equipment operation licensing create meaningful legal and organizational barriers to full automation of hazardous physical labor. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement specifically bars automation of digging/lifting, but physical worksite variability, safety regulations, and liability for equipment-caused damage create moderate friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized excavation and heavy-lifting equipment, combined with the capital cost and maintenance of autonomous systems, far exceeds the loaded wage of an electrician performing these tasks. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Any robotic solution capable of this would require expensive specialized hardware, far exceeding the cost of human labor or simple machinery already used for trenching. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs excavation, trenching, or heavy object lifting autonomously in production settings. Robotics in these domains remain research-stage or highly specialized with significant failure modes. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI or robotic product reliably performs trenching or heavy lifting for electricians in production settings; this remains research/prototype territory at best (e.g., construction robotics). |
Use a variety of tools or equipment, such as power construction equipment, measuring devices, power tools, and testing equipment, such as oscilloscopes, ammeters, or test lamps.
9CI 0–19 · exposure 13 · augmentation 38 · importance 4.5/5 · click for rater detail
Use a variety of tools or equipment, such as power construction equipment, measuring devices, power tools, and testing equipment, such as oscilloscopes, ammeters, or test lamps.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electricians work predominantly on physical job sites with equipment-intensive, site-specific tasks that resist standardization; adoption of autonomous systems in this sector remains minimal, with most firms relying on human crews and manual tool use. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades like electrical work show minimal AI-driven displacement; this is a physical, low-digitization sector with slow automation adoption for hands-on tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could meaningfully assist electricians through real-time meter reading interpretation, wiring diagram lookup, code compliance checking, and predictive diagnostics, raising situational awareness and decision speed while the electrician remains the primary operator and safety decision-maker. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics interpretation, documentation, or scheduling around tool use, but offers little direct enhancement to the physical act of using tools and testing equipment. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI systems could theoretically control robotic arms to manipulate some tools and interpret readings from digital displays, the task requires real-time physical manipulation in unpredictable field environments, safety-critical decision-making based on equipment condition, and switching between diverse tool types—none of which current AI agents perform reliably end-to-end with 50% time savings at equal quality. |
| Task automatability | claude-sonnet-5 | 1/5 | This is inherently physical, manual manipulation of tools and equipment in varied environments; current AI systems cannot perform this end-to-end without a human body executing the work. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Strong barriers exist: electricians must be licensed in most jurisdictions, electrical work carries high liability and safety risk (electrocution, fire), regulatory frameworks require qualified humans to certify installations, and customers expect a licensed professional to be directly accountable for work quality and code compliance. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Electrical work is heavily regulated, requires licensure, and carries significant safety/liability risk, making unsupervised automation legally and practically barred. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Deploying robotic systems capable of physically manipulating electrical tools with the safety and precision required would cost orders of magnitude more than employing a skilled electrician, and integration overhead remains prohibitive for field work across diverse job sites. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-only substitute for the physical tool use, so any comparison to human labor cost is moot—AI cannot deliver the output at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed products today reliably perform this task autonomously. Robotic systems exist in narrow lab settings but lack the dexterity, adaptability, and real-time sensing needed for diverse field electrical work; AI excels at interpreting digital meter outputs but cannot autonomously select, connect, and use physical tools safely in live electrical systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously wields power tools, measuring devices, or testing equipment to perform electrical work; robotics for this remain research-stage at best. |
Assemble, install, test, or maintain electrical or electronic wiring, equipment, appliances, apparatus, or fixtures, using hand tools or power tools.
9CI 0–19 · exposure 13 · augmentation 38 · importance 4.5/5 · click for rater detail
Assemble, install, test, or maintain electrical or electronic wiring, equipment, appliances, apparatus, or fixtures, using hand tools or power tools.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electrician work remains a physical, on-site trade with low digital footprint and strong licensing barriers. Adoption of automation in this sector has been minimal; most work still relies on human skilled labor, and no widespread production deployment of autonomous electrical installation systems exists. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades and construction are among the slowest sectors to adopt AI/robotics for physical labor, with minimal automation penetration in the field today. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-powered diagnostic tools, circuit design software, and virtual reality training can assist electricians in planning and troubleshooting, improving their efficiency on inspection and design phases. However, augmentation is limited to pre- and post-work tasks rather than the core hands-on installation work itself. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics, documentation, or troubleshooting guidance via manuals/chat tools, but offers little direct help with the physical assembly and installation work itself. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While some elements like testing and diagnostics can be partially automated with current AI (sensors, automated testing rigs), the physical assembly, installation, and maintenance of wiring and equipment require embodied dexterity and real-world problem-solving that current AI systems cannot perform end-to-end. Current robotic systems lack the generalization and adaptability needed for varied electrical installations. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, hands-on task requiring manipulation of tools, materials, and equipment in varied environments; no current AI system can perform the physical installation or wiring work itself. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work is heavily regulated by licensing (journeyman/master electrician requirements), building codes, and safety standards that legally mandate human qualification and sign-off. Liability for incorrect installation (fire, injury, code violation) and customer preference for licensed human verification create hard legal and regulatory barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is heavily regulated, requiring licensure, code compliance, and inspection sign-off in most jurisdictions, with significant liability for faulty wiring causing fire or injury. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of robotics, specialized tooling, and integration required to perform even partial electrical installation tasks exceeds the loaded wage of a skilled electrician. Deployment costs and maintenance of robotic systems remain prohibitively high relative to labor for this work. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic substitute performing this physical work, so the human electrician remains the only cost-effective and often only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Existing AI-powered diagnostic and testing tools are deployed in some industrial settings, but no current product reliably performs the full task (assembly, installation, and maintenance) autonomously. Robotic systems for electrical work remain largely in research or highly controlled manufacturing environments, not in production field deployment. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously assembles, installs, or tests electrical wiring and fixtures; robotics for this remains research-stage due to unstructured environments and dexterity demands. |
Test electrical systems or continuity of circuits in electrical wiring, equipment, or fixtures, using testing devices, such as ohmmeters, voltmeters, or oscilloscopes, to ensure compatibility and safety of system.
9CI 0–19 · exposure 13 · augmentation 25 · importance 4.1/5 · click for rater detail
Test electrical systems or continuity of circuits in electrical wiring, equipment, or fixtures, using testing devices, such as ohmmeters, voltmeters, or oscilloscopes, to ensure compatibility and safety of system.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electricians work in fragmented, small-team settings across construction, maintenance, and repair sectors with low digitization and high physical-site specificity. Adoption of autonomous AI for this task is negligible; existing automation (multimeters, power analyzers) is traditional tooling, not AI-driven. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades like electrical work show minimal AI adoption for hands-on physical tasks; this is a low-digitization, physically embedded task with no meaningful automation trend. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by automatically logging or analyzing sequences of meter readings and flagging anomalies, but current tools offer minimal augmentation. The electrician's judgment, safety expertise, and physical site familiarity remain irreplaceable and not substantially enhanced by available AI systems. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-enabled diagnostic software or smart meters can help interpret readings or flag anomalies, but the core physical testing and judgment remain human-driven with limited AI assistance currently in use. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Testing electrical systems requires physical manipulation of testing devices, navigation of complex spatial layouts, and interpretation of readings in context of circuit diagrams. While AI could theoretically analyze voltage or resistance readings, the task fundamentally depends on hands-on probe placement, fixture access, and real-time safety judgment that current autonomous systems cannot reliably perform end-to-end. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical presence, manual probe placement on live circuits, and interpretation of readings in context of physical wiring conditions—no AI system today can perform this hands-on diagnostic work. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical testing on live circuits involves high liability and safety risk; jurisdictional electrical codes typically require a licensed electrician to perform safety-critical testing and sign off on system compliance. Regulatory and legal requirements create hard barriers to substitution by unlicensed automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is often subject to licensing, code compliance, and safety liability requirements, and physical testing must be done by a qualified person on-site, creating strong structural barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of deploying mobile robotics with electrical testing capabilities, safety certification, and integration would substantially exceed the loaded hourly wage of an electrician. Current consumer and industrial automation tools do not perform this task cost-effectively. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical testing task, so AI cost is effectively irrelevant/infinite relative to the human electrician's labor. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed AI system reliably performs independent electrical testing. Computer vision systems exist for meter reading in controlled lab settings, but production systems do not autonomously conduct circuit continuity testing across varied real-world installations or safely handle live electrical systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously tests electrical continuity or circuit safety in physical installations; this remains a purely manual, tool-based task performed by technicians. |
Fasten small metal or plastic boxes to walls to house electrical switches or outlets.
5CI 5–5 · exposure 0 · augmentation 13 · importance 3.7/5 · click for rater detail
Fasten small metal or plastic boxes to walls to house electrical switches or outlets.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electricians work in physical, on-site environments with low automation adoption; this specific micro-task shows no meaningful uptake of AI or robotic substitutes in production. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the least digitized, slowest-adopting sectors for AI/robotic automation, especially for fine physical manual tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers minimal assistance for physical fastening tasks; no current tools meaningfully enhance human productivity at box installation. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help with planning, layout, or code lookup (e.g., generating box placement plans or checking code compliance), but offers little direct assistance during the physical fastening task itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation in diverse, unstructured environments (varied wall types, locations, heights) and precise spatial positioning—capabilities current AI robotic systems lack at reliable, cost-effective scale. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical manual task requiring measuring, cutting, drilling, and fastening in varied wall materials and layouts; no current AI/robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Electrical work is heavily regulated and often requires a licensed electrician to perform or supervise installation; liability and safety codes create substantial legal barriers to autonomous execution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is typically subject to licensing and code compliance requirements, and improper installation carries safety/fire risk, creating strong regulatory and liability barriers even if automation were technically possible. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotic hardware and safety systems required for on-site wall fastening would cost far more than the loaded wage of a skilled electrician performing this relatively fast manual task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-driven automation solution for this physical installation task, so any hypothetical robotic system would be far more expensive than a human electrician performing it directly. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI systems today perform this task reliably in real-world construction settings; it remains confined to research prototypes and would require custom hardware, sensing, and integration. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product installs electrical boxes autonomously; this remains firmly in the domain of human tradespeople with hand tools. |
Place conduit, pipes, or tubing, inside designated partitions, walls, or other concealed areas, and pull insulated wires or cables through the conduit to complete circuits between boxes.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.6/5 · click for rater detail
Place conduit, pipes, or tubing, inside designated partitions, walls, or other concealed areas, and pull insulated wires or cables through the conduit to complete circuits between boxes.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Construction and electrical work remain among the slowest-adopting sectors for AI/automation due to site-specific variability, safety requirements, regulatory oversight, and the physical dexterity demands that current robotics cannot meet at scale. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the least digitized, slowest-adopting sectors for AI/robotics due to physical, unstructured environments. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with task planning, code compliance checking, or documentation, but offers minimal direct augmentation for the core physical activities of routing, placing, and pulling wires in constrained spaces where the worker must navigate real-world constraints continuously. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with planning conduit routing, code lookup, or wire-pull calculations via apps, but offers minimal real-time assistance during the physical labor itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation of conduit, pipes, and wires in three-dimensional, constrained spaces (walls, partitions) that vary site-by-site. Current AI systems cannot perform end-to-end physical assembly, routing, and wire-pulling in unstructured built environments; robotics for this remain in early research stages. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical installation task requiring manipulation of conduit, tools, and cable pulling through walls—no current AI system can perform this manual labor. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrician licensing requirements, building codes, NEC compliance, and liability for electrical safety create hard regulatory barriers. A licensed electrician must perform and sign off on this work in virtually all jurisdictions; automation cannot legally replace the licensed professional. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is typically licensed, code-regulated (NEC compliance), and inspected, creating strong regulatory and liability barriers even if automation were technically feasible. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotic systems capable of performing any part of this task (if they existed at scale) would be vastly more expensive than the loaded wage of a skilled electrician, and current systems cannot do the work at all. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI/robotic substitute performing this physical task, so the human electrician remains the only viable and thus cheaper option in all-in terms. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial product reliably performs autonomous conduit placement and wire-pulling in construction environments. Robotic systems capable of this task are not in production use; the task remains beyond the scope of mature automation. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed products install conduit or pull wire through concealed partitions; this remains purely manual skilled trade work with no robotic solutions in production. |
Maintain current electrician's license or identification card to meet governmental regulations.
3CI 0–5 · exposure 5 · augmentation 25 · importance 4.3/5 · click for rater detail
Maintain current electrician's license or identification card to meet governmental regulations.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This is a mandatory compliance task where no substitution or automation is permitted by law; adoption velocity of AI is irrelevant since the task cannot be automated regardless of sector digitization. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | This task is inherently tied to individual legal identity and government regulation, an area with essentially no AI adoption trend since it cannot be reassigned to software. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could provide minor assistance such as reminding an electrician of renewal dates or filling in form templates, but the core compliance task requires direct human engagement and does not benefit meaningfully from AI augmentation of the electrician's productivity. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI tools (calendar reminders, CE course tracking apps, license renewal portals) can help electricians track deadlines and requirements, offering modest administrative assistance. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Maintaining a license or identification card is an administrative compliance task that requires human action—credential renewal, fee payment, documentation submission. No AI system can autonomously perform these government-mandated requirements on behalf of a person. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a compliance/administrative act (renewing licensure, completing CE hours, paying fees) performed by the individual electrician; AI cannot hold or maintain a license on someone's behalf.16 There is no end-to-end automatable substance here beyond reminders/paperwork assistance. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Government regulations explicitly require the individual electrician to personally maintain and possess a valid license; this is a hard legal requirement with no substitution allowed. Only the licensed individual can satisfy this requirement. |
| Adoption barriers | claude-sonnet-5 | 5/5 | State licensing boards legally require a human individual to hold and personally maintain the credential; this is a hard regulatory/legal barrier that cannot be delegated to AI. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI assistance (if any) would be a minor administrative tool; the actual cost of maintaining a license is borne by the electrician and is not a paid task replacing human labor, making direct cost comparison inapplicable or heavily in the human's favor. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for the human holding the license, so no meaningful cost comparison of AI replacing the human exists for this specific task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI could theoretically help schedule renewals or populate forms, no deployed system handles end-to-end license maintenance independently. The task fundamentally requires human decision-making and credential verification by regulatory authorities. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No product performs licensure maintenance for a worker; at most software can track expiration dates or CE credits, but the actual legal act of maintaining licensure is not something a deployed AI product executes. |
Direct or train workers to install, maintain, or repair electrical wiring, equipment, or fixtures.
3CI 0–5 · exposure 0 · augmentation 38 · importance 4.1/5 · click for rater detail
Direct or train workers to install, maintain, or repair electrical wiring, equipment, or fixtures.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electrical contracting remains heavily dependent on licensed human supervision due to safety regulations and liability. Digitization is low in field execution, and there is no evidence of meaningful AI adoption for on-site worker direction in electrical trades. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the slowest sectors to adopt AI, especially for hands-on supervisory functions. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with pre-job planning documents or training materials, but the core act of directing workers requires human judgment, presence, and legal accountability. Assistance is marginal compared to the irreducible human elements of the task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help create training materials, checklists, or reference documentation for onboarding and instructing workers, aiding but not replacing the trainer. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task fundamentally requires real-time physical coordination, on-site decision-making about electrical safety, and direct supervision of human workers. AI cannot perform the coordination and oversight aspects that define the core responsibility, nor can it physically direct workers in variable job-site conditions. |
| Task automatability | claude-sonnet-5 | 1/5 | Directing and training workers on hands-on electrical installation and repair requires physical demonstration, in-person supervision, and adaptive judgment that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work is governed by strict building codes and safety regulations; a licensed electrician must legally direct and sign off on installations. Additionally, electrical hazards create high error-cost asymmetry, and many jurisdictions require direct human supervision of apprentices and trainees. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Supervisory roles often require licensed electricians (master electrician requirements in many jurisdictions) and liability for safety-critical work creates strong barriers to non-human direction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task is inherently about human-to-human training and real-time supervision. AI systems cannot substitute for a licensed electrician's on-site oversight, and any AI assistance would require human verification, making it more expensive than direct human supervision. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this supervisory/training role, so any AI cost comparison favors the human who actually directs on-site work. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can reliably direct or train workers on electrical installations in real-world conditions. This requires embodied presence, real-time adaptation to site conditions, and regulatory accountability that current AI systems cannot provide. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product supervises or trains electrical trade workers on physical tasks in real work settings; this remains firmly human-led. |
Install ground leads and connect power cables to equipment, such as motors.
3CI 0–5 · exposure 0 · augmentation 25 · importance 4.0/5 · click for rater detail
Install ground leads and connect power cables to equipment, such as motors.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electrical installation remains a hands-on trade with high physical-world variability; adoption of automation in this sector is minimal and limited to narrow, standardized scenarios, not general cable and lead installation. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | The construction/electrical trades sector has very low AI and robotics adoption for physical installation tasks, lagging far behind digitized information-work sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While AI tools can assist with electrical schematics, safety checklists, or routing planning, they offer limited real-time assistance for the core physical task of installing and connecting leads; the human electrician remains the primary performer. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with documentation, diagnostics, or schematic interpretation, but offers minimal direct assistance to the physical act of installing leads and connecting cables. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation in variable environments (connecting cables, securing leads), precise spatial reasoning, and adaptation to different equipment layouts—capabilities current AI systems lack in any meaningful way without custom hardware. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, hands-on electrical installation task requiring manual dexterity, precise wiring, and real-world sensing that no current AI system can execute end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task is protected by strict electrical safety codes, licensing requirements (electricians must be licensed), and liability standards; unauthorized or improperly automated installation creates legal and safety hazards that regulators and insurers enforce. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Electrical work is heavily regulated, often requires licensure, and carries significant safety and liability risk (fire, electrocution, code compliance), creating strong barriers to non-human execution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of specialized robotic hardware, safety compliance, integration, and oversight to handle cable installation vastly exceeds the labor cost of a skilled electrician, and would require custom engineering per site. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical task, so any AI-based approach would be far more expensive or simply nonexistent compared to a human electrician. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial product performs this installation task end-to-end; the work demands dexterous robotics and environmental perception that remain research-stage for general-purpose electrical connection scenarios. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI or robotics product performs ground lead installation and power cable connection to motors in production settings; this remains manual skilled trade work. |
Provide assistance during emergencies by operating floodlights or generators, placing flares, or driving needed vehicles.
3CI 0–5 · exposure 0 · augmentation 25 · importance 3.8/5 · click for rater detail
Provide assistance during emergencies by operating floodlights or generators, placing flares, or driving needed vehicles.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Emergency services and electrical contractors remain largely human-operated in the field with minimal AI adoption; physical emergency response has not seen meaningful automation deployment in production. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Electrical trades and emergency field response are low-digitization, physically-grounded sectors with minimal AI/robotic adoption for hands-on emergency tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist with dispatch optimization or pre-emergency planning, but provides little real-time assistance during the actual physical and operational tasks of emergency response in the field. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could provide minor situational support, such as communication or data logistics during an emergency, but offers little direct assistance for the physical actions described. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Emergency response assistance involving physical operations (floodlights, generators, flares) and vehicle driving requires real-time situational judgment, physical presence, and adaptability to unpredictable conditions that current AI cannot perform end-to-end in the field. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, on-site emergency response task requiring human presence, judgment under unpredictable conditions, and manual operation of equipment and vehicles—none of which current AI can perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Emergency response work is heavily regulated; liability and safety laws typically require licensed or certified personnel to operate equipment and vehicles in emergency situations, creating hard legal barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Emergency response often involves safety regulations, liability concerns, and the need for a physically present, licensed worker capable of adaptive judgment, creating strong barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The capital cost of autonomous equipment capable of emergency operations (specialized vehicles, robotic systems) far exceeds the cost of dispatching a qualified electrician for these time-sensitive, location-specific tasks. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute for this physical task, so any AI-based approach (e.g., robotics) would be far more costly than a human worker performing it directly. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can autonomously operate floodlights, place flares, drive vehicles, and manage emergency response in real-world field conditions reliably today; these tasks require embodied robotics and autonomous systems that are not in production for emergency work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product operates floodlights, places flares, or drives vehicles autonomously in emergency electrician response contexts; this remains outside current product capability. |
Work from ladders, scaffolds, or roofs to install, maintain, or repair electrical wiring, equipment, or fixtures.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.5/5 · click for rater detail
Work from ladders, scaffolds, or roofs to install, maintain, or repair electrical wiring, equipment, or fixtures.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This is physical, site-based work requiring presence on premises and real-time problem-solving in varying conditions. Adoption of AI automation in electrician work is negligible; most electrician labor remains done by humans on-site. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the least digitized, lowest-AI-adoption sectors, with physical robotic automation for this task essentially absent. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with diagnostics, circuit planning, or code compliance checking before or after work, but current tools offer limited live assistance for hands-on installation and repair work at height. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics, wiring diagrams, or documentation support, but offers minimal direct assistance to the physical act of climbing and installing wiring. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical manipulation in varied, often hazardous environments (ladders, scaffolds, roofs) with real-time spatial reasoning and safety constraints. Current AI systems lack embodied robotics capable of reliably performing electrical work at height with the dexterity and adaptability required. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical task requiring climbing, manual dexterity, and manipulation of tools and materials in variable environments; no current AI or robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work requires licensed electricians by law in most jurisdictions; liability for errors is severe (fire, electrocution, property damage); and OSHA and building codes mandate human accountability and sign-off on installations and repairs. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Electrical work requires licensure, code compliance, and safety liability, and physical installation demands a human physically present and legally authorized to perform the work. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Specialized robotics capable of working safely at height would require substantial capital investment, maintenance, and continuous oversight—far exceeding the cost of a skilled electrician's labor per task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-based substitute, so the human electrician remains the only cost-effective option for this physical task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed commercial products can autonomously perform electrical installation, maintenance, or repair work in elevated or complex environments. Robotics in this domain remain research-stage with severe limitations in generalization and safety. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical electrical installation from ladders or scaffolds; robotics in this domain remain research-stage at best. |
Connect wires to circuit breakers, transformers, or other components.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail
Connect wires to circuit breakers, transformers, or other components.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electricians work in construction and maintenance environments with highly variable spatial layouts and conditions. Adoption of robotic automation in this segment remains minimal; the sector relies on skilled human labor and is not undergoing rapid AI-driven displacement. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Construction and skilled trades are among the slowest sectors to adopt AI/robotics for physical hands-on tasks, with minimal production deployment of automation for wiring work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI tools could assist with wire routing planning, code compliance checking, or documentation, but the core manual connection task itself offers limited augmentation potential since the human electrician must perform the physical work regardless. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with wiring diagrams, code lookup, or troubleshooting guidance, but offers little direct assistance for the physical act of connecting wires to components. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Connecting wires to circuit breakers requires precise physical manipulation in three-dimensional space, real-time visual feedback, and tactile sensing to ensure safe, code-compliant connections. Current AI systems lack the embodied dexterity and real-world robotic deployment to perform this task reliably end-to-end. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical manipulation task requiring dexterity, spatial reasoning, and handling of live/de-energized electrical components in varied real-world environments; no current AI system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work is heavily regulated; only licensed electricians can legally perform most connections, and work must meet NEC codes and be inspected. Liability for incorrect connections creates hard regulatory and legal barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Electrical work is heavily regulated, typically requires licensure, inspection, and code compliance, with significant liability for faulty wiring causing fire or injury, creating hard legal barriers to non-human performance. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of a capable industrial robot system, integration, safety validation, and oversight far exceeds the loaded wage of a trained electrician for this task, which is typically completed in minutes to hours. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic substitute performing this physical task, so any hypothetical automation would require expensive custom robotics far exceeding electrician wages. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed robotic systems in production reliably perform electrical wiring connections to live or offline breakers at scale. Research prototypes exist but have not achieved the safety and accuracy standards required in regulated electrical work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical wire connection to circuit breakers or transformers; robotic manipulation for this exact task remains research-stage at best, not in commercial deployment. |
Repair or replace wiring, equipment, or fixtures, using hand tools or power tools.
0CI 0–0 · exposure 0 · augmentation 25 · importance 3.9/5 · click for rater detail
Repair or replace wiring, equipment, or fixtures, using hand tools or power tools.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Electricians work in highly physical, variable environments (homes, buildings, construction sites) with little digitization of the repair task itself. Adoption of autonomous electrical repair systems is negligible; the sector remains human-centric. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Skilled trades and construction are among the least digitized, slowest-adopting sectors for AI/robotics due to physical, unstructured work environments. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can assist with diagnostic decision support (fault prediction, code lookups) or training, but current tools offer limited assistance during the core hands-on repair work. Augmentation potential is modest compared to tasks with higher cognitive and lower physical demands. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostics, documentation, or circuit lookup via mobile apps, but offers minimal help with the actual hands-on repair or wiring work. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Repairing or replacing wiring and electrical fixtures requires physical manipulation in varied, unpredictable environments, fine motor control, and real-time problem diagnosis that current AI cannot perform end-to-end. The task is fundamentally dependent on embodied work in the physical world, far beyond current robotic or AI capabilities. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical manipulation of wires, tools, and fixtures in varied, often cramped or hazardous environments—far beyond current AI or robotics capability for general-purpose deployment. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Electrical work is heavily regulated and licensed; most jurisdictions legally require a licensed electrician to perform or sign off on repairs and installations for safety and code compliance. Liability for faulty electrical work creates strong institutional and legal barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Electrical work is heavily regulated, requires licensure, code compliance, and inspection sign-off, with high liability for fire/shock hazards, creating hard legal barriers to non-human performance. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Current AI and robotic systems capable of any subset of this work (specialized manipulators, vision systems) are orders of magnitude more expensive than a human electrician's hourly rate, with far narrower scope and reliability. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI/robotic substitute performing this physical task, so any hypothetical automation cost would vastly exceed human labor cost today. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs electrical repair and replacement autonomously in production environments. While diagnostic aids and training tools exist, the core task of hands-on repair using tools remains firmly in the domain of human technicians. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs autonomous electrical repair or wiring replacement; robotics for such fine dexterous, unstructured physical work remains research-stage. |
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.