HUMANPLACE

Occupation

Property, Real Estate, and Community Association Managers

Plan, direct, or coordinate the selling, buying, leasing, or governance activities of commercial, industrial, or residential real estate properties. Includes managers of homeowner and condominium associations, rented or leased housing units, buildings, or land (including rights-of-way).

93 AI exposure
36 Human advantage
62 Market demand
67 AI leverage

Is Property, Real Estate, and Community Association Managers a safe career from AI?

Property, Real Estate, and Community Association Managers scores 93 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 36, 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 62 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 Property, Real Estate, and Community Association Managers pay

The median wage is $66,700 a year. The lower quarter earns under $49,530 and the upper quarter over $95,760. About 296,640 people do this work in the United States.

Where Property, Real Estate, and Community Association Managers can go next

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

Chief Executives 91% of the skills carry over $206k median
Financial Managers 90% of the skills carry over $162k median
Dentists, General 83% of the skills carry over $173k median
Optometrists 86% of the skills carry over $135k median

Thinking about moving out of Property, Real Estate, and Community Association Managers?

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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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