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Occupation

Semiconductor Processing Technicians

Perform any or all of the following functions in the manufacture of electronic semiconductors: load semiconductor material into furnace; saw formed ingots into segments; load individual segment into crystal growing chamber and monitor controls; locate crystal axis in ingot using x-ray equipment and saw ingots into wafers; and clean, polish, and load wafers into series of special purpose furnaces, chemical baths, and equipment used to form circuitry and change conductive properties.

48 AI exposure
37 Human advantage
61 Market demand
43 AI leverage

Is Semiconductor Processing Technicians a safe career from AI?

Semiconductor Processing Technicians scores 48 out of 100 for AI exposure, which is low. Most of what this job involves is not the kind of task current AI systems are good at, largely because it happens in a physical place rather than on a screen.

Its human advantage score is 37, 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 61 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 8.2% over ten years.

What Semiconductor Processing Technicians pay

The median wage is $51,180 a year. The lower quarter earns under $45,320 and the upper quarter over $74,640. About 32,150 people do this work in the United States.

Where Semiconductor Processing Technicians can go next

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

Nuclear Monitoring Technicians 83% of the skills carry over $104k median
Chemists 83% of the skills carry over $84k median
Nurse Anesthetists 75% of the skills carry over $223k median
Ship Engineers 76% of the skills carry over $101k median

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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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