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

Most cluster in North Loop. Rent runs ~32 USD/sqft ($32 USD) for trophy and prime stock.

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

Typically high-end at $150–215/sqft.

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

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 Minneapolis?

82/100. Use the city profile for full detail.

AI and machine learning occupiers in Minneapolis typically cluster in North Loop, plan ~150 sqft per seat at high-end fit-out ($150–215/sqft), and pay around 32 USD/sqft ($32 USD) on Class A.

Preferred submarket: North Loop.
Typical fit-out spec: High-end ($150–215/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 32 USD/sqft ($32 USD).
Typical lease: 10 years with 16 months rent-free.
Talent depth in Minneapolis: 82/100.

AI and machine learning office space in Minneapolis

AI and machine learning occupiers in Minneapolis typically cluster in North Loop, plan ~150 sqft per seat at high-end fit-out">fit-out ($150–215/sqft), and pay around 32 USD/sqft ($32 USD) on Class A.

TL;DR

Preferred submarket: North Loop.
Typical fit-out spec: High-end ($150–215/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 32 USD/sqft ($32 USD).
Typical lease: 10 years with 16 months rent-free.
Talent depth in Minneapolis: 82/100.

Where they cluster

AI and machine learning occupiers in Minneapolis typically anchor in North Loop. Tech, creative agencies, advertising, food and beverage HQs.

What they pay

Class A rent in Minneapolis runs 32 USD/sqft ($32 USD) on a 10-year lease with 16 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 $150–215/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 Minneapolis 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 Fortune 500 corporate, healthcare, retail, and agribusiness talent. Strong feed from the University of Minnesota and the broader UMN system. Healthcare talent base supports Mayo Clinic and UnitedHealth Group.

Tax and lease context

Headline corporate tax: 30.6%. Modified-gross structures with opex pass-throughs. 10-year terms standard for trophy. Free rent of 14-18 months and TI of $80-$120/sqft typical on a 10-year deal.

Key facts

city	Minneapolis
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	North Loop
preferredFitoutSpec	High-end
fitoutBand	$150–215/sqft
sqftPerSeat	150
classARentLocal	32 USD/sqft/yr
classARentUsd	$32/sqft/yr
vacancyPct	23.7%
typicalLeaseYears	10
typicalRentFreeMonths	16
talentIndex	82
corporateTaxPct	30.6%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Minneapolis?: Most cluster in North Loop. Rent runs ~32 USD/sqft ($32 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Minneapolis?: Typically high-end at $150–215/sqft.
How much office space per seat should a ai and machine learning occupier plan in Minneapolis?: 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 Minneapolis?: 82/100. 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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