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Occupation

Blockchain Engineers

Maintain and support distributed and decentralized blockchain-based networks or block-chain applications such as cryptocurrency exchange, payment processing, document sharing, and digital voting. Design and deploy secure block-chain design patterns and solutions over geographically distributed networks using advanced technologies. May assist with infrastructure setup and testing for application transparency and security.

87 AI exposure
19 Human advantage
64 Market demand
56 AI leverage

Is Blockchain Engineers a safe career from AI?

Blockchain Engineers scores 87 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 19, 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 64 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 5.1% over ten years.

What Blockchain Engineers pay

The median wage is $108,970 a year. The lower quarter earns under $76,360 and the upper quarter over $147,530. About 439,380 people do this work in the United States.

Where Blockchain Engineers can go next

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

Computer and Information Research Scientists 90% of the skills carry over $141k median
Database Architects 93% of the skills carry over $136k median
Biofuels/Biodiesel Technology and Product Development Managers 83% of the skills carry over $168k median
Water Resource Specialists 82% of the skills carry over $161k median

Thinking about moving out of Blockchain Engineers?

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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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