Will blockchain engineers be replaced by AI?
Updated
Blockchain engineers score 58 of 100 for AI exposure. The largest share of their task time, 88%, is work AI speeds up while they stay in charge. The other 12% stays with people.
- 88% AI helps
- 12% Needs a person
High exposure
Higher than 88% of the 923 occupations we scored.
Task by task
We graded 17 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 15 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Design and implement dashboard and data visualizations to meet customer reporting needs. AI generates dashboard code quickly; requirement gathering stays with people. | 62% AI helps |
| Determine specifications for, or implement, logging. AI drafts logging code and specs; teams decide what to record. | 62% AI helps |
| Design and implement data repositories to integrate data. AI writes schemas and pipeline code; engineers review integration choices. | 58% AI helps |
| Develop a maintainable code base using object-oriented design principles, practices, or patterns. AI generates most class code; architecture decisions stay with people. | 58% AI helps |
| Update client and server applications responsible for integration and business logic. AI drafts integration and logic code; humans review before release. | 58% AI helps |
| Automate the deployment of software updates over geographically distributed network nodes. Deployment scripts are routine; production rollouts need human approval. | 55% AI helps |
| Evaluate blockchain processes or risks based on security assessments or control matrix reviews. AI can draft control reviews from evidence; auditors must judge risk. | 50% AI helps |
| Assess blockchain threats, such as untested code and unprotected keys. AI scans code and flags risks; humans verify findings. | 45% AI helps |
| Evaluate new blockchain technologies and vendor products. AI summarizes vendor docs; real testing and final choices stay human. | 42% AI helps |
| Test the security and performance of blockchain infrastructures. AI writes tests and reads logs; engineers run them and judge. | 42% AI helps |
Show the other 7 tasks
| Task | AI exposure |
|---|---|
| Design and deploy blockchain design patterns to make transactions secure, transparent, and immutable. AI drafts code for patterns; engineers take responsibility for the design choices. | 40% AI helps |
| Design and develop blockchain technologies for industries such as finance and music. AI speeds prototyping, but domain design and regulation need experts. | 40% AI helps |
| Implement catastrophic failure handlers to identify security breaches and prevent serious damage. AI drafts handler code; failure response design needs expert review. | 38% AI helps |
| Design and verify cryptographic protocols to protect private information. Cryptographic design is high stakes; AI helps review, experts decide. | 30% AI helps |
| Run infrastructure tests to examine the behavior of large peer-to-peer networks. AI writes test scripts; live infrastructure runs need engineer access. | 30% AI helps |
| Discuss data needs with engineers, product managers, or data scientists to identify blockchain requirements. Live requirement talks are interpersonal; AI can only summarize notes. | 18% Needs a person |
| Discuss and plan systems with solution architects, system engineers, or cybersecurity experts to meet customer requirements. Live planning with customers and experts needs human judgement. | 15% Needs a person |
How blockchain engineers compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $116,580 a year, May 2025
- People employed
- 48,374 in the US, May 2025
- Projected change in jobs
- +5.1% from 2024 to 2034
Skills to build
- Review AI-drafted Go and Python code in Git pull requests
- Design blockchain design patterns for secure, immutable transactions
- Run peer-to-peer network tests on live infrastructure
- Deploy software updates across nodes on AWS or Azure
- Write and tune SQL queries for data repository integration
- Gather dashboard requirements from customers before building visualizations
Safer roles nearby
3 related occupations with lower scores.
Questions about blockchain engineers and AI
Will AI replace blockchain engineers?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly dashboard and data visualization builds and logging code. Architecture, security design and live network decisions stay with people.
Which tasks of blockchain engineers is AI taking over?
Dashboard and data visualization builds, logging, and data repository design rank highest. AI generates dashboard code quickly and drafts logging code and specs, so the coding share shrinks. Engineers still review schemas and pipeline outputs before release.
Which tasks of blockchain engineers stay with people?
Live planning with architects and cybersecurity experts, and requirement talks with data scientists, score lowest at 15 and 18. Those conversations need human judgement, and AI can only summarize the notes afterward. Cryptographic protocol design, at 30, stays with experts who make the final call.
Which tasks of blockchain engineers stay with people?
Live planning with architects and cybersecurity experts, and requirement talks with data scientists, score lowest at 15 and 18. Those conversations need human judgement, and AI summarizes the notes afterward. Cryptographic protocol design, at 30, stays with experts who make the final call.
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