HUMANPLACE

Occupation

Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products

Sell goods for wholesalers or manufacturers where technical or scientific knowledge is required in such areas as biology, engineering, chemistry, and electronics, normally obtained from at least 2 years of postsecondary education.

85 AI exposure
31 Human advantage
60 Market demand
61 AI leverage

Is Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products a safe career from AI?

Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products scores 85 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 60 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 Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products pay

The median wage is $100,070 a year. The lower quarter earns under $65,640 and the upper quarter over $146,150. About 293,930 people do this work in the United States.

Where Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products can go next

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

Online Merchants 78% of the skills carry over $81k median
General and Operations Managers 63% of the skills carry over $103k median
Compliance Officers 63% of the skills carry over $78k median

Thinking about moving out of Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products?

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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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