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# Will electrical engineers be replaced by AI?

Updated October 2026

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 |

## How electrical engineers compare

All occupations (923)

Architecture and engineering (56)

**Electrical engineers score 47**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 47 for architecture and engineering.

## 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.

-   [Electrical engineering technicians45 out of 100](https://www.aigentcy.com/ai-exposure/electrical-engineering-technicians/)
-   [Electrical maintenance technicians37 out of 100](https://www.aigentcy.com/ai-exposure/electrical-maintenance-technicians/)
-   [Substation technicians35 out of 100](https://www.aigentcy.com/ai-exposure/substation-technicians/)
-   [Power dispatchers41 out of 100](https://www.aigentcy.com/ai-exposure/power-dispatchers/)
-   [Transportation electronics technicians25 out of 100](https://www.aigentcy.com/ai-exposure/transportation-electronics-technicians/)

## 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

-   [Electronics engineers53 out of 100](https://www.aigentcy.com/ai-exposure/electronics-engineers/)
-   [Mechanical engineers47 out of 100](https://www.aigentcy.com/ai-exposure/mechanical-engineers/)
-   [Industrial engineers55 out of 100](https://www.aigentcy.com/ai-exposure/industrial-engineers/)
-   [Industrial engineering technicians43 out of 100](https://www.aigentcy.com/ai-exposure/industrial-engineering-technicians/)

## Next steps for electrical engineers

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
