Will AI replace Network Engineer in Saudi Arabia? The composite AI automation risk score is 38/100 — unlikely in the near term — natural defenses against automation are strong. SHIFT Observatory builds the score using the Frey-Osborne automation probability framework, Eloundou LLM exposure data, and Nitaqat regulatory pressure, classifying this occupation as "AI augmentation". The composite score of 38 is moderate, driven by a very low Frey-Osborne automation probability of 6 and only moderate LLM exposure at 0.5. The ICT sector rationale points to augmentation, not substitution, because AI reshapes network work while creating new specialist roles. Stable WEF trends and sector quotas support continuity rather than displacement. Network Engineer in Saudi Arabia earn between SAR 8,000 and SAR 23,000 per month, with a median of SAR 14,000 — all tax-free under Saudi Arabia's 0% personal income tax. Approximately 38,000 workers hold this role nationally, with 45% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Build automation and AI-assisted networking skills, especially monitoring, configuration, and troubleshooting, to move into higher-value network operations roles.
This occupation faces moderate AI automation risk. While some tasks are automatable, elements requiring human judgment, creativity, or interpersonal skills provide partial protection.