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Occupation

Logistics Engineers

Design or analyze operational solutions for projects such as transportation optimization, network modeling, process and methods analysis, cost containment, capacity enhancement, routing and shipment optimization, or information management.

95 AI exposure
34 Human advantage
73 Market demand
68 AI leverage

Is Logistics Engineers a safe career from AI?

Logistics Engineers scores 95 out of 100 for AI exposure, which is high. A large share of this work is the kind current AI systems are measurably good at. That is not a prediction the job disappears, and the research does not support one. It means more of this role is likely to change than most.

Its human advantage score is 34, which is low. Most of this role can be done through a screen, and that is the half of the labor market AI has reached first. Market demand scores 73 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 17.6% over ten years.

What Logistics Engineers pay

The median wage is $80,880 a year. The lower quarter earns under $62,920 and the upper quarter over $104,330. About 235,640 people do this work in the United States.

Where Logistics Engineers can go next

Occupations that share most of what this job already requires, ranked by how much carries over.

Chief Executives 87% of the skills carry over $206k median
Computer and Information Systems Managers 91% of the skills carry over $171k median
Architectural and Engineering Managers 86% of the skills carry over $168k median
Loss Prevention Managers 84% of the skills carry over $137k median

Thinking about moving out of Logistics Engineers?

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Where this comes from

Work content and transitions from O*NET, the US Department of Labor's occupational database. Wages and employment projections from the Bureau of Labor Statistics. AI exposure from published research measuring which occupations current AI capabilities overlap with. None of it is a forecast, and none of these numbers are ours: they are public data, put next to each other.

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