--- title: "AI and machine learning office space in San Diego" description: "Where ai and machine learning occupiers cluster in San Diego, what they pay, and what the typical fit-out looks like." canonical: https://classa.info/cities/san-diego/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 San Diego typically cluster in Downtown, plan ~150 sqft per seat at high-end fit-out ($185–270/sqft), and pay around 56 USD/sqft ($56 USD) on Class A. ## TL;DR - Preferred submarket: Downtown. - Typical fit-out spec: High-end ($185–270/sqft). - Plan ~150 sqft per seat for headcount sizing. - Class A rent context: 56 USD/sqft ($56 USD). - Typical lease: 10 years with 12 months rent-free. - Talent depth in San Diego: 86/100. # AI and machine learning office space in San Diego **AI and machine learning occupiers in San Diego typically cluster in Downtown, plan ~150 sqft per seat at high-end [fit-out](/topics/fit-out-capex)">fit-out ($185–270/sqft), and pay around 56 USD/sqft ($56 USD) on [Class A](/glossary/class-a).** ## TL;DR - Preferred submarket: Downtown. - Typical fit-out spec: High-end ($185–270/sqft). - Plan ~150 sqft per seat for headcount sizing. - Class A rent context: 56 USD/sqft ($56 USD). - Typical lease: 10 years with 12 months rent-free. - Talent depth in San Diego: 86/100. ## Where they cluster AI and machine learning occupiers in San Diego typically anchor in Downtown. Banking, law, professional services, hospitality HQs. ## What they pay Class A rent in San Diego runs 56 USD/sqft ($56 USD) on a 10-year lease with 12 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 $185–270/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 San Diego 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. Deep life sciences, biotech, defense, and intelligence talent. UCSD and the Salk / Scripps research cluster anchor. Deep naval and Marine veteran talent pool. ## Tax and lease context Headline corporate tax: 27.9%. Modified-gross structures with opex pass-throughs. 10-12 year terms common for life sciences. Free rent of 10-14 months and TI of $100-$160/sqft typical on a 10-year Class A deal; lab fitouts run materially higher. ## Key facts | city | San Diego| | industry | AI and machine learning| | naics | 541715, 541511, 518210| | preferredSubmarket | Downtown| | preferredFitoutSpec | High-end| | fitoutBand | $185–270/sqft| | sqftPerSeat | 150| | classARentLocal | 56 USD/sqft/yr| | classARentUsd | $56/sqft/yr| | vacancyPct | 18.4%| | typicalLeaseYears | 10| | typicalRentFreeMonths | 12| | talentIndex | 86| | corporateTaxPct | 27.9%| ## Frequently asked questions ****Where do ai and machine learning occupiers lease office space in San Diego?**** : Most cluster in Downtown. Rent runs ~56 USD/sqft ($56 USD) for trophy and prime stock. ****What fit-out spec do ai and machine learning occupiers run in San Diego?**** : Typically high-end at $185–270/sqft. ****How much office space per seat should a ai and machine learning occupier plan in San Diego?**** : 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 San Diego?**** : 86/100. Use the city profile for full detail. ## Related - [**AI and machine learning — global overview**](/industries/ai-machine-learning) - [**San Diego — full city profile**](/cities/san-diego) - [**Financial services in San Diego**](/cities/san-diego/industries/financial-services) - [**Asset management in San Diego**](/cities/san-diego/industries/asset-management) - [**Investment banking in San Diego**](/cities/san-diego/industries/investment-banking) - [**Legal services in San Diego**](/cities/san-diego/industries/legal-services) ## Editorial provenance Reviewed by [**Miriam Hollander**](/about/authors/miriam-hollander) — Lead market analyst. 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/san-diego/industries/ai-machine-learning), updated 2026-04-15T00:00:00.000Z.