Occupation

Nanotechnology Engineering Technologists and Technicians

Implement production processes and operate commercial-scale production equipment to produce, test, or modify materials, devices, or systems of unique molecular or macromolecular composition. Operate advanced microscopy equipment to manipulate nanoscale objects. Work under the supervision of nanoengineering staff.

78 AI exposure

31 Human advantage

58 Market demand

57 AI leverage

Is Nanotechnology Engineering Technologists and Technicians a safe career from AI?

Nanotechnology Engineering Technologists and Technicians scores 78 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 31, 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 58 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment roughly flat over ten years.

What Nanotechnology Engineering Technologists and Technicians pay

The median wage is $64,790 a year. The lower quarter earns under $53,230 and the upper quarter over $79,040. About 73,410 people do this work in the United States.

Where Nanotechnology Engineering Technologists and Technicians can go next

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

Biofuels/Biodiesel Technology and Product Development Managers 85% of the skills carry over $168k median

Robotics Engineers 89% of the skills carry over $118k median

Telecommunications Engineering Specialists 79% of the skills carry over $130k median

Biofuels Production Managers 82% of the skills carry over $121k median

Thinking about moving out of Nanotechnology Engineering Technologists and Technicians?

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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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