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.

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.

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">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.

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.

Editorial provenance

Reviewed by Miriam Hollander — Lead market analyst. Last updated 2026-04-15. See our methodology and editorial standards.

Primary sources for this page

CBRE Marketview reports — CBRE
JLL Office Insight — JLL
Cushman & Wakefield Marketbeat — Cushman & Wakefield
Savills World Research — Savills
Colliers Global Office Outlook — Colliers

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