π‘ Engineers, All Other have a composite risk score of 30/100 (Frey-Osborne probability: 1%, GenAI exposure: 69/100). With 150,750 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 150,750 workers and a median wage of $118K,engineers, all other represent a significant portion of the US workforce. Their GenAI exposure index is 69%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
30/100
Employment
150,750
Median Wage
$118K
GenAI Exposure
69%
β οΈ Top Risk Factors
Simulation and digital twin automation
AI-assisted CAD and generative design tools
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Safety-critical judgment in design review
On-site problem-solving in variable physical conditions
Cross-disciplinary collaboration on complex projects
Novel engineering design for unprecedented challenges
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
70% skills overlap Β· $106K median wage
Electronics Engineers, Except Computer
77% skills overlap Β· $128K median wage
Mathematicians
57% skills overlap Β· $122K median wage
β Frequently Asked Questions
Will AI completely replace engineers, all other?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for engineers, all other?
Engineers, All Other have a composite AI automation risk score of 30 out of 100, classified as "Moderate".
How many engineers, all other are there in the US?
There are approximately 150,750 engineers, all other employed in the United States.
What do engineers, all other earn?
The median annual wage for engineers, all other is $118K.
What skills should engineers, all other develop?
Focus on tasks AI can't easily replicate: safety-critical judgment in design review, on-site problem-solving in variable physical conditions, cross-disciplinary collaboration on complex projects, novel engineering design for unprecedented challenges. These human-centric skills will become more valuable as routine tasks are automated.