Will AI replace Drilling Engineer in Saudi Arabia? The composite AI automation risk score is 22/100 — 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 drilling engineer shows a very low Frey-Osborne automation probability (2.5) and a moderate Eloundou LLM exposure (0.35), consistent with low Felten AI exposure and an augmentation category. In Mining & Quarrying, AI mainly boosts exploration, predictive maintenance and optimization, while physical extraction and safety-critical on-site operations remain human-led, so overall automation risk stays low despite sector-level AI adoption. Drilling Engineer in Saudi Arabia earn between SAR 12,000 and SAR 40,000 per month, with a median of SAR 22,000 — all tax-free under Saudi Arabia's 0% personal income tax. Approximately 21,000 workers hold this role nationally, with 45% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Focus on AI-assisted drilling planning, data analysis and optimization tools, leveraging SDA and Taqat programs to deepen digital and analytical skills.

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Drilling Engineer

مهندس حفر

LowAugmentationStable
Estimated Workforce
21,000
Saudi Nationals
45%
Sector
Mining & Quarrying (incl. Oil & Gas)
22/ 100

AI Risk Analysis

Automation Probability (Frey & Osborne)
2.5
GPT Exposure (Eloundou et al.)
35
AI Impact (Felten)
LOW

This occupation has relatively low AI automation risk. Physical presence requirements, emotional intelligence, and non-routine judgment create natural defenses against automation.

SCORE EVOLUTION

22.3
Q4-2025
22
Q1-2026

Stable since Q4-2025

Next update: Q2-2026 (June)

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