Will AI replace Semiconductor Processing Technicians?
AI reaches little of this job’s work.
7/100
Low exposure
More exposed to AI than 12% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 11% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(2)
- Maintain processing, production, and inspection information and reports.
- Calculate etching time based on thickness of material to be removed from wafers or crystals.
Out of reach(15)
- Inspect materials, components, or products for surface defects and measure circuitry, using electronic test equipment, precision measuring instruments, microscope, and standard procedures.
- Load and unload equipment chambers and transport finished product to storage or to area for further processing.
- Place semiconductor wafers in processing containers or equipment holders, using vacuum wand or tweezers.
- Study work orders, instructions, formulas, and processing charts to determine specifications and sequence of operations.
- Inspect equipment for leaks, diagnose malfunctions, and request repairs.
and 10 more
Also called
Crystal Grower · Semiconductor Processor · Crystal Cutter · Crystal Finisher · Crystal Lapper · Diffusion Furnace Operator · Electronic Component Processor · Electronic Semiconductor Processor
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What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics