HUMANPLACE

Occupation

Business Continuity Planners

Develop, maintain, or implement business continuity and disaster recovery strategies and solutions, including risk assessments, business impact analyses, strategy selection, and documentation of business continuity and disaster recovery procedures. Plan, conduct, and debrief regular mock-disaster exercises to test the adequacy of existing plans and strategies, updating procedures and plans regularly. Act as a coordinator for continuity efforts after a disruption event.

89 AI exposure
17 Human advantage
65 Market demand
57 AI leverage

Is Business Continuity Planners a safe career from AI?

Business Continuity Planners scores 89 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 17, 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 65 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 Business Continuity Planners pay

The median wage is $81,270 a year. The lower quarter earns under $60,820 and the upper quarter over $110,030. About 1,128,200 people do this work in the United States.

Where Business Continuity Planners can go next

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

Computer and Information Systems Managers 90% of the skills carry over $171k median
Natural Sciences Managers 90% of the skills carry over $161k median
Chief Executives 89% of the skills carry over $206k median
Chief Sustainability Officers 89% of the skills carry over $206k median

Thinking about moving out of Business Continuity Planners?

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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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