Rankings β Will AI Replaceβ¦
Will AI Replace Computer Hardware Engineers?
π‘ Computer Hardware Engineers have a composite risk score of 34/100 (Frey-Osborne probability: 22%, GenAI exposure: 67/100). With 75,710 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 75,710 workers and a median wage of $155K,computer hardware engineers represent a significant portion of the US workforce. Their GenAI exposure index is 67%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
34/100
Employment
75,710
Median Wage
$155K
GenAI Exposure
67%
β οΈ Top Risk Factors
Automated data interpretation and insight generation
AI-generated written content replacing manual drafting
AI coding assistants reducing developer demand
π‘οΈ Tasks AI Can't Easily Replace
Novel engineering design for unprecedented challenges
On-site problem-solving in variable physical conditions
Cross-disciplinary collaboration on complex projects
Client communication and technical consultation
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
83% skills overlap Β· $106K median wage
Electronics Engineers, Except Computer
75% skills overlap Β· $128K median wage
Physicists
57% skills overlap Β· $166K median wage
β Frequently Asked Questions
Will AI completely replace computer hardware engineers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for computer hardware engineers?
Computer Hardware Engineers have a composite AI automation risk score of 34 out of 100, classified as "Moderate".
How many computer hardware engineers are there in the US?
There are approximately 75,710 computer hardware engineers employed in the United States.
What do computer hardware engineers earn?
The median annual wage for computer hardware engineers is $155K.
What skills should computer hardware engineers develop?
Focus on tasks AI can't easily replicate: novel engineering design for unprecedented challenges, on-site problem-solving in variable physical conditions, cross-disciplinary collaboration on complex projects, client communication and technical consultation. These human-centric skills will become more valuable as routine tasks are automated.