π‘ Electrical Engineers have a composite risk score of 34/100 (Frey-Osborne probability: 10%, GenAI exposure: 68/100). With 188,790 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 188,790 workers and a median wage of $112K,electrical engineers represent a significant portion of the US workforce. Their GenAI exposure index is 68%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
34/100
Employment
188,790
Median Wage
$112K
GenAI Exposure
68%
β οΈ Top Risk Factors
AI-optimized manufacturing process design
Robotic inspection and testing automation
Automated structural and systems analysis software
π‘οΈ Tasks AI Can't Easily Replace
Safety-critical judgment in design review
Novel engineering design for unprecedented challenges
Client communication and technical consultation
On-site problem-solving in variable physical conditions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
78% skills overlap Β· $106K median wage
Electronics Engineers, Except Computer
70% skills overlap Β· $128K median wage
Chemical Engineers
83% skills overlap Β· $122K median wage
β Frequently Asked Questions
Will AI completely replace electrical engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for electrical engineers?
Electrical Engineers have a composite AI automation risk score of 34 out of 100, classified as "Moderate".
How many electrical engineers are there in the US?
There are approximately 188,790 electrical engineers employed in the United States.
What do electrical engineers earn?
The median annual wage for electrical engineers is $112K.
What skills should electrical engineers develop?
Focus on tasks AI can't easily replicate: safety-critical judgment in design review, novel engineering design for unprecedented challenges, client communication and technical consultation, on-site problem-solving in variable physical conditions. These human-centric skills will become more valuable as routine tasks are automated.