Will AI replace semiconductor processing technicians?

Some tasks are already handled by AI or machines; the rest still needs a person. About 4h 44m of an 8-hour shift goes to tasks that AI or robots largely take over. The other 3h 16m (41%) stays with people. Separately, BLS expects about 8.2% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 11 of this job's tasks in workplaces like this one, about 4h 44m of a typical shift. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here.

• Load and unload equipment chambers and transport finished product to storage or to area for further processing. (59m a shift; e.g. Daifuku / Muratec OHT AMHS in 300 mm fabs, in use)
• Manipulate valves, switches, and buttons, or key commands into control panels to start semiconductor processing cycles. (47m a shift; e.g. Bosch Dresden wafer fab (fully automated 300mm line), in use)
• Inspect materials, components, or products for surface defects and measure circuitry, using electronic test equipment, precision measuring instruments, microscope, and standard procedures. (41m a shift; e.g. KLA broadband plasma (BBP) patterned wafer inspection systems (KLA 2020 through current BBP line, e.g. C205, 8935), in use)
• Clean semiconductor wafers using cleaning equipment, such as chemical baths, automatic wafer cleaners, or blow-off wands. (24m a shift; e.g. SCREEN SU-3300 / SU-3400 single wafer cleaners, batch cleaners, spin scrubbers, in use)

3h 16m of a typical shift, or 41%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Monitor operation and adjust controls of processing machines and equipment to produce compositions with specific electronic properties, using computer terminals. (53m a shift)
• Maintain processing, production, and inspection information and reports. (41m a shift)
• Clean and maintain equipment, including replacing etching and rinsing solutions and cleaning bath containers and work area. (36m a shift)
• Place semiconductor wafers in processing containers or equipment holders, using vacuum wand or tweezers. (24m a shift)
• Study work orders, instructions, formulas, and processing charts to determine specifications and sequence of operations. (18m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 70% use their hands on tools, objects or controls more than half the time
• 68% spend more than half the day walking or moving
• 63% carry high or very high responsibility for other workers' safety

On Indeed, job postings in the Production & Manufacturing sector are at 124% of their February 2020 level (all U.S. postings: 104%), up 12.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,400 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $51,430 a year ($24.73 an hour), 1% above the median for all U.S. jobs ($50,980). Most people in this job earn between $37,690 and $82,540 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 8.2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 34,000 jobs in 2035. It expects about 3,400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 31,000 people in the U.S., roughly 0.02% of all workers (BLS, May 2025). That makes it the 470th largest of the 796 jobs on this site. BLS expects about 34,000 in 2035.

The most common requirement is a high school diploma: about 84% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Operations Monitoring, Quality Control Analysis, Monitoring, Reading Comprehension
• Get strong at the parts of the job that stay with people (listed above), which take 3h 16m of a typical shift
• Tools employers list: Python, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel, Microsoft Word

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Adhesive Bonding Machine Operators and Tenders (1h 8m touched, $46k median pay)
• Textile Knitting and Weaving Machine Setters, Operators, and Tenders (3h 1m touched, $40k median pay)
• Molding, Coremaking, and Casting Machine Setters, Operators, and Tenders, Metal and Plastic (2h 12m touched, $44k median pay)
• Furnace, Kiln, Oven, Drier, and Kettle Operators and Tenders (1h 31m touched, $48k median pay)
• Forging Machine Setters, Operators, and Tenders, Metal and Plastic (17m touched, $49k median pay)

Each task carries its own evidence label. For this job: 11 with robots in real deployments, 9 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.