Will AI replace Heavy Truck Drivers in Saudi Arabia? The composite AI automation risk score is 54.9/100 — 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". Heavy Truck Drivers score high on Frey-Osborne automation probability (79), but the composite stays mid-range at 54.9 because LLM exposure is zero and Felten AI exposure is low. The sector rationale points to long-term medium risk only: Level 5 autonomous vehicles remain distant, while driver demand is still in strong growth. Heavy Truck Drivers in Saudi Arabia earn between SAR 4,000 and SAR 8,000 per month, with a median of SAR 5,500 — all tax-free under Saudi Arabia's 0% personal income tax. Approximately 410,000 workers hold this role nationally, with 8% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Focus on upskilling in digital fleet tools, safety oversight, and logistics coordination to move into higher-value transport roles.
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.