Electrical Engineering Technologists

Calculate design specifications or cost, material, and resource estimates, and prepare project schedules and budgets.

AI: Fully automatable - Calculating design specifications, material/cost estimates, and generating project schedules and budgets is largely algorithmic and is already widely automatable by software and AI tools.

Compile and maintain records documenting engineering schematics, installed equipment, installation or operational problems, resources used, repairs, or corrective action performed.

AI: Fully automatable - Compiling and maintaining engineering records and logs is a routine data-management task that AI systems can fully automate through document ingestion, indexing, and structured logging.

Review installation or quality assurance documentation.

AI: Fully automatable - AI systems can parse, compare, and flag deficiencies in installation and QA documentation against standards and regulatory requirements, enabling full document review automation.

Assist engineers and scientists in conducting applied research in electrical engineering.

AI: Fully automatable - AI can conduct literature reviews, run simulations, process experimental data, and suggest hypotheses, enabling it to fully perform many assistant-level research tasks under human direction.

Review, develop, and prepare maintenance standards.

AI: Fully automatable - AI can analyze existing procedures and regulations to draft and update maintenance standards and produce ready-to-review documents, automating most of the development work.

Evaluate electrical engineering plans to determine whether they comply with applicable environmental standards.

AI: Fully automatable - AI can parse engineering plans, map them to environmental codes and standards, and flag compliance issues automatically, providing reliable evaluations for most routine cases.

Conduct statistical studies to analyze or compare production costs for sustainable or nonsustainable designs.

AI: Fully automatable - AI systems in 2025 can ingest cost and production data, run statistical analyses and comparisons, and generate actionable reports with minimal human intervention.

Install or maintain electrical control systems, industrial automation systems, or electrical equipment, including control circuits, variable speed drives, or programmable logic controllers.

AI: Partial - AI can program, configure, and remotely diagnose control systems and PLCs but cannot perform the on-site wiring, mechanical installation, and safety-critical physical tasks unaided.

Design or modify engineering schematics for electrical transmission and distribution systems or for electrical installation in residential, commercial, or industrial buildings, using computer-aided design (CAD) software.

AI: Partial - AI-assisted CAD tools can generate and modify electrical schematics and do routine design tasks, but final engineering judgment, compliance checks, and complex system integration still require human oversight.

Diagnose, test, or analyze the performance of electrical components, assemblies, or systems.

AI: Partial - AI and automated test rigs can perform many diagnostic measurements and root-cause analyses for electrical components, but complex system-level troubleshooting and novel failure modes often need human engineers.

Review electrical engineering plans to ensure adherence to design specifications and compliance with applicable electrical codes and standards.

AI: Partial - Automated plan‑checking tools can verify many design specifications and flag code violations, but ambiguous cases, judgment calls, and final compliance certification still require human review.

Supervise the construction or testing of electrical prototypes, according to general instructions and established standards.

AI: Partial - AI can monitor construction and testing, analyze results, and enforce standards, but cannot fully replace human supervisors for on-site decision-making and complex judgments.

Set up and operate standard or specialized testing equipment.

AI: Partial - AI can operate and remotely control digitally interfaced test instruments and provide setup guidance, but physical setup and hands-on adjustments typically require humans.

Participate in training or continuing education activities to stay abreast of engineering or industry advances.

AI: Partial - AI can curate courses, generate personalized learning materials, and simulate exercises, but participating in hands‑on or credentialed in‑person training typically requires human engagement.

Build or test electrical components of electric-drive vehicles or prototype vehicles.

AI: Partial - AI can run test sequences, analyze sensor data, and simulate vehicle component behavior, yet building and physically integrating electrical components for prototypes remains largely manual.

Construct and evaluate electrical components for consumer electronics applications such as fuel cells for consumer electronic devices, power saving devices for computers or televisions, or energy efficient power chargers.

AI: Partial - AI can design and simulate electrical components and evaluate performance in silico, but cannot independently perform the physical construction and hands‑on prototyping required for consumer hardware.

Create or modify electrical components to be used in renewable energy generation.

AI: Partial - AI can generate and validate designs and suggest modifications for renewable‑energy components via simulation and optimization, but physical fabrication and on‑site modification still require human technicians.

Participate in the development or testing of electrical aspects of new green technologies, such as lighting, optical data storage devices, or energy efficient televisions.

AI: Partial - AI can contribute substantially to development and testing through modeling, test automation and data analysis, yet real-world prototyping and hands‑on test execution require human oversight and lab work.

Test sustainable materials for their applicability to electrical engineering systems or system designs.

AI: Partial - AI can model material properties, design experiments and analyze test data, but actual laboratory testing of sustainable materials for electrical systems remains a primarily physical task.

Assemble or test solar photovoltaic products, such as inverters or energy management systems.

AI: Partial - AI can automate and control many testing procedures and provide assembly guidance, but manual assembly and physical handling of PV hardware still limit full automation.