Will AI replace Computer Programmers in Saudi Arabia? The composite AI automation risk score is 67.5/100 — partially — the risk is moderate to high, depending on task mix. 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". This role shows an elevated classical automation probability (Frey-Osborne 48) but a very high LLM exposure (Eloundou 1.0), consistent with intensive code-generation tasks. In the ICT “paradox sector”, AI both reshapes programming work and drives new AI/data roles, with overall growth. Hence the composite score (67.5) reflects strong automation pressure, yet mainly as augmentation rather than outright substitution. Computer Programmers in Saudi Arabia earn between SAR 8,000 and SAR 20,000 per month, with a median of SAR 13,000 — all tax-free under Saudi Arabia's 0% personal income tax. Approximately 45,000 workers hold this role nationally, with 35% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Continuously integrate AI coding tools, deepen software architecture and AI/ML skills, and pursue HRDF-backed upskilling to stay complementary.
This occupation faces significant automation risk. While some tasks require human judgment, many core functions can be augmented or replaced by AI systems. Proactive reskilling is recommended.