Will AI replace Semiconductor Processing Technicians?

AI can do 10% of the work Semiconductor Processing Technicians do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 2 of them. Robots can technically handle 16 physical tasks. 2 still need a person.

AI is already doing this0 · 0% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Real AI use has not reached any of this job's tasks yet.

AI could do this next2 · 10% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Maintain processing, production, and inspection information and reports.9% of time
  • Calculate etching time based on thickness of material to be removed from wafers or crystals.1% of time

Robots can technically do this16 · 75% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Load and unload equipment chambers and transport finished product to storage or to area for further processing.Robots: structured workplaces12% of time
  • Manipulate valves, switches, and buttons, or key commands into control panels to start semiconductor processing cycles.Robots: structured workplaces10% of time
  • Inspect materials, components, or products for surface defects and measure circuitry, using electronic test equipment, precision measuring instruments, microscope, and standard procedures.Robots: structured workplaces9% of time
  • Clean and maintain equipment, including replacing etching and rinsing solutions and cleaning bath containers and work area.Robots: purpose built settings7% of time
  • Clean semiconductor wafers using cleaning equipment, such as chemical baths, automatic wafer cleaners, or blow-off wands.Robots: structured workplaces5% of time
  • Place semiconductor wafers in processing containers or equipment holders, using vacuum wand or tweezers.Robots: purpose built settings5% of time
  • Set, adjust, and readjust computerized or mechanical equipment controls to regulate power level, temperature, vacuum, and rotation speed of furnace, according to crystal growing specifications.Robots: structured workplaces5% of time
  • Inspect equipment for leaks, diagnose malfunctions, and request repairs.Robots: structured workplaces5% of time
  • Etch, lap, polish, or grind wafers or ingots to form circuitry and change conductive properties, using etching, lapping, polishing, or grinding equipment.Robots: structured workplaces4% of time
  • Align photo mask pattern on photoresist layer, expose pattern to ultraviolet light, and develop pattern, using specialized equipment.Robots: structured workplaces4% of time
  • Load semiconductor material into furnace.Robots: structured workplaces2% of time
  • Count, sort, and weigh processed items.Robots: structured workplaces2% of time
  • Stamp, etch, or scribe identifying information on finished component according to specifications.Robots: purpose built settings1% of time
  • Scribe or separate wafers into dice.Robots: structured workplaces1% of time
  • Connect reactor to computer, using hand tools and power tools.Robots: purpose built settings1% of time
  • Measure and weigh amounts of crystal growing materials, mix and grind materials, load materials into container, and monitor processing procedures to help identify crystal growing problems.Robots: purpose built settings1% of time

Still needs a person2 · 15% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Monitor operation and adjust controls of processing machines and equipment to produce compositions with specific electronic properties, using computer terminals.11% of time
  • Study work orders, instructions, formulas, and processing charts to determine specifications and sequence of operations.4% of time

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What this means

Little of this work suits AI. The bigger change here is robots: today's robots can technically do 75% of the working time, though they are rarely cheap enough to replace people yet.

What to do next

  • Get ahead on the 2 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 16 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.

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