Will AI replace Blockchain Engineers?
AI reaches a large part of this job’s work.
52/100
High exposure
More exposed to AI than 83% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 81% of the work
What the job involves
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.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(14)
- Discuss and plan systems with solution architects, system engineers, or cybersecurity experts to meet customer requirements.
- Implement catastrophic failure handlers to identify security breaches and prevent serious damage.
- Assess blockchain threats, such as untested code and unprotected keys.
- Design and verify cryptographic protocols to protect private information.
- Design and deploy blockchain design patterns to make transactions secure, transparent, and immutable.
and 9 more
Out of reach(3)
- Test the security and performance of blockchain infrastructures.
- Evaluate blockchain processes or risks based on security assessments or control matrix reviews.
- Run infrastructure tests to examine the behavior of large peer-to-peer networks.
Also called
Blockchain Consultant · DLT Software Engineer (Distributed Ledger Technology Software Engineer) · Blockchain Analyst · Blockchain Architect · Blockchain Developer · Blockchain Software Developer · Blockchain Software Engineer · Blockchain Threat Investigator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics