Where do ai and machine learning occupiers lease office space in Houston?

Most cluster in Galleria / Uptown. Rent runs ~35 USD/sqft ($35 USD) for trophy and prime stock.

What fit-out spec do ai and machine learning occupiers run in Houston?

Typically high-end at $155–225/sqft.

How much office space per seat should a ai and machine learning occupier plan in Houston?

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 Houston?

78/100. Use the city profile for full detail.

AI and machine learning occupiers in Houston typically cluster in Galleria / Uptown, plan ~150 sqft per seat at high-end fit-out ($155–225/sqft), and pay around 35 USD/sqft ($35 USD) on Class A.

Preferred submarket: Galleria / Uptown.
Typical fit-out spec: High-end ($155–225/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 35 USD/sqft ($35 USD).
Typical lease: 10 years with 18 months rent-free.
Talent depth in Houston: 78/100.

AI and machine learning office space in Houston

AI and machine learning occupiers in Houston typically cluster in Galleria / Uptown, plan ~150 sqft per seat at high-end fit-out">fit-out ($155–225/sqft), and pay around 35 USD/sqft ($35 USD) on Class A.

TL;DR

Preferred submarket: Galleria / Uptown.
Typical fit-out spec: High-end ($155–225/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 35 USD/sqft ($35 USD).
Typical lease: 10 years with 18 months rent-free.
Talent depth in Houston: 78/100.

Where they cluster

AI and machine learning occupiers in Houston typically anchor in Galleria / Uptown. Energy services, professional services, healthcare, financial services.

What they pay

Class A rent in Houston runs 35 USD/sqft ($35 USD) on a 10-year lease with 18 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 $155–225/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 Houston 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. Deepest energy talent pool in the Americas. Strong engineering, healthcare (Texas Medical Center), and aerospace bases. Tech and finance talent depth is limited compared to Dallas / Austin.

Tax and lease context

Headline corporate tax: 22.5%. Modified-gross structures with operating-expense pass-throughs. 10-15 year terms common for trophy energy tenants. Free rent of 16-24 months and TI of $80-$140/sqft typical. Heavy concession packages.

Key facts

city	Houston
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Galleria / Uptown
preferredFitoutSpec	High-end
fitoutBand	$155–225/sqft
sqftPerSeat	150
classARentLocal	35 USD/sqft/yr
classARentUsd	$35/sqft/yr
vacancyPct	26.7%
typicalLeaseYears	10
typicalRentFreeMonths	18
talentIndex	78
corporateTaxPct	22.5%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Houston?: Most cluster in Galleria / Uptown. Rent runs ~35 USD/sqft ($35 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Houston?: Typically high-end at $155–225/sqft.
How much office space per seat should a ai and machine learning occupier plan in Houston?: 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 Houston?: 78/100. 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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