Electrical Engineers

Operate computer-assisted engineering or design software or equipment to perform engineering tasks.

AI: Fully automatable - AI can fully operate and automate CAE/CAD tools through scripts and generative design to perform many engineering tasks with human oversight as needed.

Compile data and write reports regarding existing or potential electrical engineering studies or projects.

AI: Fully automatable - AI can compile datasets, run analyses, and generate structured technical reports automatically from project data.

Perform detailed calculations to compute and establish manufacturing, construction, or installation standards or specifications.

AI: Fully automatable - AI can perform detailed calculations and simulations to produce specifications and standards-compliant results for many scenarios, though final verification may need human sign-off.

Prepare specifications for purchases of materials or equipment.

AI: Fully automatable - AI can draft procurement specifications based on requirements, standards, and BOMs, making the task largely automatable with human approval for exceptions.

Assist in developing capital project programs for new equipment or major repairs.

AI: Fully automatable - AI can fully perform the assistive functions—producing cost estimates, schedules, option analyses, and program documentation—to support capital project program development autonomously.

Estimate labor, material, or construction costs for budget preparation purposes.

AI: Fully automatable - AI can estimate labor, material, and construction costs using historical data and models to produce budget estimates, though localized adjustments and final budget sign-off typically require human oversight.

Collect data relating to commercial or residential development, population, or power system interconnection to determine operating efficiency of electrical systems.

AI: Fully automatable - AI can aggregate public and sensor datasets, perform preprocessing and compute efficiency metrics automatically, enabling end-to-end data collection for such analyses.

Prepare technical drawings, specifications of electrical systems, or topographical maps to ensure that installation and operations conform to standards and customer requirements.

AI: Partial - AI can produce technical drawings and specs automatically from models and standards but guaranteeing full compliance and handling edge cases still requires human engineering review.

Confer with engineers, customers, or others to discuss existing or potential engineering projects or products.

AI: Partial - AI can participate in and summarize discussions, propose solutions, and handle routine stakeholder communication, but cannot fully replace human judgment, negotiation, and responsibility in complex project decisions.

Conduct field surveys or study maps, graphs, diagrams, or other data to identify and correct power system problems.

AI: Partial - AI can analyze maps, sensor data, and diagnostic graphs to identify likely power-system faults, but cannot perform many required on-site physical surveys or repairs autonomously yet.

Design, implement, maintain, or improve electrical instruments, equipment, facilities, components, products, or systems for commercial, industrial, or domestic purposes.

AI: Partial - AI can design and optimize electrical components and systems computationally and assist implementation and maintenance, yet physical prototyping, on-site integration, and final validation still require human engineers.

Direct or coordinate manufacturing, construction, installation, maintenance, support, documentation, or testing activities to ensure compliance with specifications, codes, or customer requirements.

AI: Partial - AI can coordinate schedules, documentation, and routine compliance checks and assist testing workflows, but directing on-site activities and making safety-critical decisions remains a human role.

Investigate customer or public complaints to determine the nature and extent of problems.

AI: Partial - AI can triage, summarize, and categorize complaints and suggest causes, but resolving complex or sensitive customer/public issues still requires human judgment and interaction.

Oversee project production efforts to assure projects are completed on time and within budget.

AI: Partial - AI tools can handle scheduling, budget tracking, risk forecasting and alerts, but full project oversight including stakeholder negotiation and legal accountability remains a human responsibility.

Inspect completed installations and observe operations to ensure conformance to design and equipment specifications and compliance with operational, safety, or environmental standards.

AI: Partial - Computer vision and sensor analytics can automate many inspection tasks and flag nonconformance, yet final safety-critical verification and complex operational judgments still need human inspectors.

Plan or implement research methodology or procedures to apply principles of electrical theory to engineering projects.

AI: Partial - AI can propose research methodologies, run simulations, and optimize procedures, but implementing and adapting research methods in real engineering contexts requires human domain expertise and oversight.

Design electrical systems or components that minimize electric energy requirements, such as lighting systems designed to account for natural lighting.

AI: Partial - AI-driven simulation and optimization can produce energy-minimizing designs (e.g., daylighting-aware lighting layouts), but full design delivery, integration, and code compliance still need human engineers to validate and sign off.

Plan layout of electric power generating plants or distribution lines or stations.

AI: Partial - AI can optimize layouts and run feasibility analyses for plants and distribution networks, but comprehensive planning requires field surveys, regulatory negotiation, and multidisciplinary coordination beyond current AI autonomy.

Supervise or train project team members as necessary.

AI: Partial - AI can generate training materials, run coaching bots, and provide performance analytics, but cannot fully replace human leadership, accountability, and nuanced team supervision in 2025.

Investigate or test vendors' or competitors' products.

AI: Partial - AI can research, benchmark, run virtual tests, and analyze vendor/competitor product data, but physical lab testing and hands-on reverse engineering remain only partially automatable in 2025.

Develop systems that produce electricity using renewable energy sources, such as wind, solar, or biofuels.

AI: Partial - AI can design and simulate renewable power systems and optimize configurations but cannot by itself perform physical prototyping, installation, and certification.

Integrate electrical systems with renewable energy systems to improve overall efficiency.

AI: Partial - AI can design control strategies and simulate integrations to improve efficiency, but physical integration and field validation still require human engineers.