Will AI replace Database Administrator in Saudi Arabia? The composite AI automation risk score is 49.8/100 — 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". Some core tasks are automatable, but elements requiring human judgment, creativity, or interpersonal interaction provide partial protection. Saudi employers are deploying AI to augment rather than fully replace this role. Database Administrator in Saudi Arabia earn between SAR 8,000 and SAR 22,000 per month, with a median of SAR 14,000 — all tax-free under Saudi Arabia's 0% personal income tax. Approximately 12,800 workers hold this role nationally, with 35% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Reskilling in AI-complementary capabilities (judgment, client interaction, oversight) is recommended to stay ahead of the curve.

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Database Administrator

مدير قواعد البيانات

HighAugmentationStable
Estimated Workforce
12,800
Saudi Nationals
35%
Sector
Information & Communication (ICT)
49.8/ 100

AI Risk Analysis

Automation Probability (Frey & Osborne)
9
GPT Exposure (Eloundou et al.)
65
AI Impact (Felten)
HIGH

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.

SCORE EVOLUTION

50.5
Q4-2025
49.8
Q1-2026

-0.7 points since Q4-2025 · Risk is DECREASING

Next update: Q2-2026 (June)

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