Will electrical engineers be replaced by AI?
Updated
Electrical engineers score 47 of 100 for AI exposure. The largest share of their task time, 66%, is work AI speeds up while they stay in charge. AI can take over 18% outright, and 16% stays with people.
- 18% AI can do it
- 66% AI helps
- 16% Needs a person
Moderate exposure
Higher than 67% of the 923 occupations we scored.
Task by task
We graded 22 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 15 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Compile data and write reports regarding existing or potential electrical engineering studies or projects. Report drafting and data compilation are routine text work for AI. | 78% AI can do it |
| Prepare specifications for purchases of materials or equipment. Procurement specs follow templates, so AI drafts them well. | 72% AI can do it |
| Perform detailed calculations to compute and establish manufacturing, construction, or installation standards or specifications. Calculations are well suited to AI tools, with engineer verification. | 70% AI can do it |
| Develop software to control electrical systems. Coding is highly AI assisted, but safety testing still needs engineers. | 62% AI can do it |
| Prepare technical drawings, specifications of electrical systems, or topographical maps to ensure that installation and operations conform to standards and customer requirements. AI drafts specs and drawing notes; engineers check standards compliance. | 60% AI helps |
| Operate computer-assisted engineering or design software or equipment to perform engineering tasks. CAD and simulation are digital, but engineers still steer the tools. | 55% AI helps |
| Estimate labor, material, or construction costs for budget preparation purposes. AI speeds takeoffs and pricing lookups, but cost risk needs judgment. | 50% AI helps |
| Design, implement, maintain, or improve electrical instruments, equipment, facilities, components, products, or systems for commercial, industrial, or domestic purposes. Design judgment stays human, but AI speeds drafting and calculations. | 45% AI helps |
| Investigate or test vendors' or competitors' products. Physical product testing requires people; AI suits spec comparison. | 45% AI helps |
| Assist in developing capital project programs for new equipment or major repairs. AI can draft program proposals and plans, but priorities need leadership. | 45% AI helps |
Show the other 12 tasks
| Task | AI exposure |
|---|---|
| Plan or implement research methodology or procedures to apply principles of electrical theory to engineering projects. Research planning draws on literature and ideas, with human direction. | 40% AI helps |
| Collect data relating to commercial or residential development, population, or power system interconnection to determine operating efficiency of electrical systems. Data pulls can be automated; field collection still needs people. | 40% AI helps |
| Design electrical systems or components that minimize electric energy requirements, such as lighting systems designed to account for natural lighting. Efficiency design is simulation heavy, with AI aiding option comparisons. | 40% AI helps |
| Develop systems that produce electricity with renewable energy sources, such as wind, solar, or biofuels. Renewable system design mixes AI modeling with hardware expertise. | 35% AI helps |
| Integrate electrical systems with renewable energy systems to improve overall efficiency. Integration mixes modeling tasks with hardware and site decisions. | 35% AI helps |
| Oversee project production efforts to assure projects are completed on time and within budget. Schedule and budget oversight needs people, though AI tracks status. | 30% AI helps |
| Investigate customer or public complaints to determine the nature and extent of problems. Records review is AI friendly; calls and site visits stay human. | 30% AI helps |
| Conduct field surveys or study maps, graphs, diagrams, or other data to identify and correct power system problems. Field surveys need people on site; AI helps analyze the data. | 30% AI helps |
| Direct or coordinate manufacturing, construction, installation, maintenance, support, documentation, or testing activities to ensure compliance with specifications, codes, or customer requirements. Crew coordination and site checks remain largely physical work. | 25% AI helps |
| Confer with engineers, customers, or others to discuss existing or potential engineering projects or products. Live discussions with clients and engineers depend on human judgment. | 15% Needs a person |
| Supervise or train project team members, as necessary. Team leadership and training depend on people skills and accountability. | 12% Needs a person |
| Inspect completed installations and observe operations to ensure conformance to design and equipment specifications and compliance with operational, safety, or environmental standards. Physical site inspection and watching equipment run needs people present. | 10% Needs a person |
How electrical engineers compare
All occupations (923)
Architecture and engineering (56)
Pay and outlook in the US
- Median pay
- $120,630 a year, May 2025
- People employed
- 198,750 in the US, May 2025
- Projected change in jobs
- +9.9% from 2024 to 2034
Skills to build
- Hold a Professional Engineer (PE) licence
- Verify AI-drafted load calculations against NEC requirements
- Model electrical layouts and drawings in Autodesk Revit
- Write control software in C and C++ with safety testing
- Run site inspections and commissioning on installed systems
Safer roles nearby
5 related occupations with lower scores.
Questions about electrical engineers and AI
Will AI replace electrical engineers?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly report drafting and procurement specifications. Site inspection, client discussions and team supervision stay with engineers, who check AI output against codes and sign off on safety.
Will AI take over electrical engineering?
AI can already do 18% of the task time for electrical engineers and speeds up another 66%. People still do 16% of it. The US has 198,750 electrical engineer jobs, with a projected change of +9.9% from 2024 to 2034.
Which tasks is AI taking from electrical engineers?
Report compilation, procurement specifications and detailed calculations carry the highest exposure, scoring 78, 72 and 70. Report drafting is routine text work, procurement specs follow templates, and calculations suit AI tools well. Engineers still verify each result before it goes into a design.
Which tasks stay with electrical engineers?
Site inspection, team supervision and client discussions carry the lowest exposure, scoring 10, 12 and 15. Inspecting completed installations and watching equipment run requires someone physically present. Leading people and talking through projects depend on judgment and accountability that stay with the engineer.
How can electrical engineers stay valuable as AI spreads?
Take on the verification and field work that stays with people. Check AI-drafted calculations against NEC requirements in ETAP or SKM Systems Analysis, sign off control code through safety testing in C++, and stay on site for commissioning. Keep steering Autodesk Revit and check each output before it goes out.
Related jobs
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