Will AI replace Telemarketers in Saudi Arabia? The composite AI automation risk score is 92.4/100 — yes — it faces very high automation exposure. 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 substitution". Telemarketers show a very high composite risk score of 92.4, consistent with the sector’s substitution patterns in routine customer interactions. With Frey-Osborne automation probability at 99 and Eloundou LLM exposure at 0.88, most tasks are highly codifiable and language-based, matching very_high Felten exposure in Wholesale & Retail Trade’s shift toward automated customer contact and self-service channels. Telemarketers 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 14,500 workers hold this role nationally, with 50% being Saudi nationals. The role is open to expatriates under Nitaqat sector quotas. Plan transition pathways into advisory or higher-value customer roles supported by Doroob, SAMAI and other HRDF programs, emphasizing AI literacy and sales skills.

Telemarketers

المسوقون عبر الهاتف

Very HighSubstitutiondecline
Estimated Workforce
14,500
Saudi Nationals
50%
Sector
Wholesale & Retail Trade
92.4/ 100

AI Risk Analysis

Automation Probability (Frey & Osborne)
99
GPT Exposure (Eloundou et al.)
88
AI Impact (Felten)
VERY HIGH

This occupation faces very high automation risk. The combination of routine digital tasks, structured decision-making, and limited physical requirements makes it highly susceptible to AI replacement. Workers in this role should actively explore transition pathways.

SCORE EVOLUTION

87.8
Q4-2025
92.4
Q1-2026

▲ +4.6 points since Q4-2025 · Risk is INCREASING

Next update: Q2-2026 (June)

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