AI Displacement Risk Comparison
According to displacement.ai, Cybersecurity Analyst has 6 percentage points lower AI displacement risk than Network Engineer (63% vs 69%).
Technology
AI is poised to significantly impact cybersecurity analysts by automating routine threat detection, vulnerability scanning, and incident response tasks. LLMs can assist in analyzing threat intelligence and generating reports, while machine learning algorithms can improve anomaly detection and predictive security. However, the complex analytical and interpersonal aspects of the role, such as incident investigation and communication with stakeholders, will likely remain human-driven for the foreseeable future.
Top risks:
general
AI is poised to impact network engineers by automating routine monitoring, configuration, and troubleshooting tasks. AI-powered network management tools can analyze network traffic, predict potential issues, and optimize network performance. LLMs can assist in generating documentation and automating responses to common network incidents. However, complex network design, security incident response, and strategic planning will likely remain human responsibilities for the foreseeable future.
Top risks:
| Metric | Cybersecurity Analyst | Network Engineer |
|---|---|---|
| Risk Score | 63% | 69% |
| Risk Level | High Risk | High Risk |
| Timeline | 5-10 years | 5-10 years |
| Category | Technology | general |
| Tasks at Risk | 7 tasks | 7 tasks |
| Skills at Risk | 4 skills | 4 skills |
| Safe Skills | 4 skills | 5 skills |
Cybersecurity Analyst has 6 percentage points lower risk than Network Engineer.
1-3 years
3-5 years
5-10 years
5-10 years
10+ years
1-3 years
5-10 years
5-10 years
10+ years
5-10 years
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