Electrical Lineworker faces a 34% AI displacement risk. This role has strong human-centric elements that are difficult to automate. The median salary is $92,560, with AI projected to shift compensation by +8%. Our analysis covers timeline, adaptation strategies, and skills that remain valuable.
Source: What About AI? Career Assessment ·
Based on our analysis, Electrical Lineworker has a LOW risk (34%) of being displaced by AI. While AI tools will augment and change how this work is done, the core human elements of this role—creativity, empathy, complex problem-solving, and interpersonal skills—make it resistant to full automation.
Energy & Utilities • Updated January 2026
AI isn't replacing jobs—people using AI are replacing people who don't
What this means: AI is starting to change how this job is done. Workers who learn AI tools now will have an advantage as the shift accelerates.
Complete job elimination risk
When major changes expected
Primary automation technology
"AI is revolutionizing energy grid asset maintenance, helping U.S. power companies identify and address problems before they even occur, but the physical repair and restoration work remains fundamentally human."
Growing grid modernization and AI-driven infrastructure demand are increasing need for skilled lineworkers. AI augments diagnostics but cannot replace physical fieldwork, driving wage premiums due to labor shortages and expanding workloads from data center and EV charging buildouts.
Based on our analysis, Electrical Lineworker has a LOW risk (34%) of being displaced by AI. While AI tools will augment and change how this work is done, the core human elements of this role—creativity, empathy, complex problem-solving, and interpersonal skills—make it resistant to full automation.
Our analysis shows Electrical Lineworker has a 34% AI displacement risk score, categorized as Low Risk. This measures the risk of being outcompeted by AI-literate workers if you don't adapt. The full replacement probability is 25%.
Key strategies include: Complete apprenticeship and journeyman certifications for career foundation. Develop expertise in smart grid technology and fiber installation. See our full adaptation guide below for more actionable recommendations.
AI is already impacting electrical lineworker in several ways: Drone inspections with AI analysis identify line damage and vegetation threats. Looking ahead: Linework will remain predominantly human due to physical complexity and safety requirements.
The median salary for Electrical Lineworker is $92,560, with a range from $50,020 to $126,610 (BLS Occupational Employment and Wage Statistics, 2024). AI is projected to shift compensation by +8%. Growing grid modernization and AI-driven infrastructure demand are increasing need for skilled lineworkers. AI augments diagnostics but cannot replace physical fieldwork, driving wage premiums due to labor shortages and expanding workloads from data center and EV charging buildouts.
The most AI-resistant skills for Electrical Lineworker include: High-Voltage Physical Repairs — Climbing poles and towers to splice, replace, and energize high-voltage lines in unpredictable outdoor conditions requires human dexterity and judgment Storm & Emergency Response — Restoring power after hurricanes, ice storms, and wildfires demands on-the-ground improvisation in hazardous, unstructured environments Safety Decision-Making — Real-time judgment calls about de-energizing lines, grounding procedures, and crew safety in proximity to live high-voltage equipment
AI will be used by grid operators to monitor transmission lines, isolate faults, and predict supply-demand fluctuations faster than human operators, but physical linework remains essential
Source: RAND Corporation
Nearly half of identified AI grid applications are high-impact and ready to deploy today, with an additional 40% requiring further investment before full deployment
Source: U.S. Department of Energy
Physical jobs in unstructured environments face low automation potential; skilled electrical worker shortages may actually constrain AI infrastructure buildout
Source: Goldman Sachs Research
Deployed ML-based predictive maintenance across 60 power plants analyzing 30,000+ sensors, achieving 36% reduction in unplanned downtime and $3.5M annual maintenance savings
Built AI-powered customer lakehouse platform consolidating data from 9 million customers and implemented smart meter data management system for predictive grid analytics
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