--- title: "AI and machine learning office space in Riyadh" description: "Where ai and machine learning occupiers cluster in Riyadh, what they pay, and what the typical fit-out looks like." canonical: https://classa.info/cities/riyadh/industries/ai-machine-learning pageType: city-industry lastUpdated: 2026-04-15T00:00:00.000Z license: "CC BY 4.0 with attribution to Class A Atlas (https://classa.info)." --- > AI and machine learning occupiers in Riyadh typically cluster in Diplomatic Quarter, plan ~150 sqft per seat at high-end fit-out ($5500–8200/sqft), and pay around 2200 SAR/sqft ($55 USD) on Class A. ## TL;DR - Preferred submarket: Diplomatic Quarter. - Typical fit-out spec: High-end ($5500–8200/sqft). - Plan ~150 sqft per seat for headcount sizing. - Class A rent context: 2200 SAR/sqft ($55 USD). - Typical lease: 5 years with 4 months rent-free. - Talent depth in Riyadh: 78/100. # AI and machine learning office space in Riyadh **AI and machine learning occupiers in Riyadh typically cluster in Diplomatic Quarter, plan ~150 sqft per seat at high-end [fit-out](/topics/fit-out-capex)">fit-out ($5500–8200/sqft), and pay around 2200 SAR/sqft ($55 USD) on [Class A](/glossary/class-a).** ## TL;DR - Preferred submarket: Diplomatic Quarter. - Typical fit-out spec: High-end ($5500–8200/sqft). - Plan ~150 sqft per seat for headcount sizing. - Class A rent context: 2200 SAR/sqft ($55 USD). - Typical lease: 5 years with 4 months rent-free. - Talent depth in Riyadh: 78/100. ## Where they cluster AI and machine learning occupiers in Riyadh typically anchor in Diplomatic Quarter. Embassies, consulates, diplomatic agencies, international NGOs. ## What they pay Class A rent in Riyadh runs 2200 SAR/sqft ($55 USD) on a 5-year lease with 4 months free. Prime submarkets sit at or modestly above the city index. ## Spec and fit-out Typical ai and machine learning fit-out targets high-end specification at $5500–8200/sqft. Branded reception, full client-facing programming, premium furniture, and specialist AV are standard. ## Headcount sizing Plan around 150 sqft per seat blended (workstation + circulation + amenity). A 100-headcount ai office in Riyadh typically targets 15,000 sqft of leasable area. ## Talent angle Frontier research talent clusters near top-tier ML programs and adjacent compute / GPU supply; loft-style trophy stock is the normal fit. Growing tech, finance, and professional services talent. Strong Saudi national talent pipeline through Vision 2030 education programs. Saudization (Nitaqat) program requires meeting Saudi national employment quotas. ## Tax and lease context Headline corporate tax: 20%. Net leases. 5-year terms with [renewal](/topics/lease-renewal-strategy) options standard. Free rent of 3-6 months on a 5-year Class A deal. ## Key facts | city | Riyadh| | industry | AI and machine learning| | naics | 541715, 541511, 518210| | preferredSubmarket | Diplomatic Quarter| | preferredFitoutSpec | High-end| | fitoutBand | $5500–8200/sqft| | sqftPerSeat | 150| | classARentLocal | 2200 SAR/sqft/yr| | classARentUsd | $55/sqft/yr| | vacancyPct | 4.6%| | typicalLeaseYears | 5| | typicalRentFreeMonths | 4| | talentIndex | 78| | corporateTaxPct | 20%| ## Frequently asked questions ****Where do ai and machine learning occupiers lease office space in Riyadh?**** : Most cluster in Diplomatic Quarter. Rent runs ~2200 SAR/sqft ($55 USD) for trophy and prime stock. ****What fit-out spec do ai and machine learning occupiers run in Riyadh?**** : Typically high-end at $5500–8200/sqft. ****How much office space per seat should a ai and machine learning occupier plan in Riyadh?**** : Plan ~150 sqft per seat blended. A 100-person team typically takes 15,000 sqft. ****What NAICS codes describe the ai and machine learning vertical?**** : Representative NAICS 2022 codes: 541715, 541511, 518210. ****What is the talent index in Riyadh?**** : 78/100. Use the city profile for full detail. ## Related - [**AI and machine learning — global overview**](/industries/ai-machine-learning) - [**Riyadh — full city profile**](/cities/riyadh) - [**Financial services in Riyadh**](/cities/riyadh/industries/financial-services) - [**Asset management in Riyadh**](/cities/riyadh/industries/asset-management) - [**Investment banking in Riyadh**](/cities/riyadh/industries/investment-banking) - [**Legal services in Riyadh**](/cities/riyadh/industries/legal-services) ## Editorial provenance Reviewed by [**Samuel Okafor**](/about/authors/samuel-okafor) — EMEA contributing editor. Last updated 2026-04-15. See our [methodology](/about/methodology) and [editorial standards](/about/editorial-standards). ### Primary sources for this page - [CBRE Marketview reports](https://www.cbre.com/insights) — CBRE - [JLL Office Insight](https://www.jll.com/en/trends-and-insights) — JLL - [Cushman & Wakefield Marketbeat](https://www.cushmanwakefield.com/en/insights) — Cushman & Wakefield - [Savills World Research](https://www.savills.com/research_articles/) — Savills - [Colliers Global Office Outlook](https://www.colliers.com/en/research) — Colliers [Full sources index](/about/sources) · [Submit a correction](/about/corrections) ## Related topics - [**Class A Lease Negotiation**](/topics/class-a-lease-negotiation) — How to negotiate a Class A office lease — the playbook from LOI to signed deal. - [**Hybrid Workplace Strategy**](/topics/hybrid-workplace-strategy) — How to size, structure, and lease a Class A office for a hybrid workforce. - [**ESG / LEED for Tenants**](/topics/esg-leed-tenants) — How tenants evaluate, negotiate, and report on ESG performance in a Class A office lease. - [**Cross-border Expansion**](/topics/cross-border-expansion) — How to run a coordinated Class A office search across multiple geographies. - [**Fit-out Capex**](/topics/fit-out-capex) — How to budget, sequence, and govern Class A office fit-out capex. - [**Lease vs Flex**](/topics/lease-vs-flex) — When premium flex (coworking, [managed office](/glossary/managed-office)) beats a conventional Class A lease — and vice versa. --- Citation: Source: Class A Atlas (https://classa.info/cities/riyadh/industries/ai-machine-learning), updated 2026-04-15T00:00:00.000Z.