Where do ai and machine learning occupiers lease office space in Salt Lake City?

Most cluster in Silicon Slopes (Provo). Rent runs ~32 USD/sqft ($32 USD) for trophy and prime stock.

What fit-out spec do ai and machine learning occupiers run in Salt Lake City?

Typically high-end at $155–220/sqft.

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

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 Salt Lake City?

76/100. Use the city profile for full detail.

AI and machine learning occupiers in Salt Lake City typically cluster in Silicon Slopes (Provo), plan ~150 sqft per seat at high-end fit-out ($155–220/sqft), and pay around 32 USD/sqft ($32 USD) on Class A.

Preferred submarket: Silicon Slopes (Provo).
Typical fit-out spec: High-end ($155–220/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 32 USD/sqft ($32 USD).
Typical lease: 7 years with 10 months rent-free.
Talent depth in Salt Lake City: 76/100.

AI and machine learning office space in Salt Lake City

AI and machine learning occupiers in Salt Lake City typically cluster in Silicon Slopes (Provo), plan ~150 sqft per seat at high-end fit-out">fit-out ($155–220/sqft), and pay around 32 USD/sqft ($32 USD) on Class A.

TL;DR

Preferred submarket: Silicon Slopes (Provo).
Typical fit-out spec: High-end ($155–220/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 32 USD/sqft ($32 USD).
Typical lease: 7 years with 10 months rent-free.
Talent depth in Salt Lake City: 76/100.

Where they cluster

AI and machine learning occupiers in Salt Lake City typically anchor in Silicon Slopes (Provo). Tech (Qualtrics), edtech, SaaS, BYU spinouts.

What they pay

Class A rent in Salt Lake City runs 32 USD/sqft ($32 USD) on a 7-year lease with 10 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 $155–220/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 Salt Lake City 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. Strong tech, finance, and engineering talent. University of Utah and BYU anchor the local engineering pipeline. Multilingual talent pool driven by LDS missionary culture supports international operations.

Tax and lease context

Headline corporate tax: 25.85%. Modified-gross structures. 7-10 year terms standard. Free rent of 8-12 months and TI of $70-$100/sqft typical on a 10-year Class A deal.

Key facts

city	Salt Lake City
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Silicon Slopes (Provo)
preferredFitoutSpec	High-end
fitoutBand	$155–220/sqft
sqftPerSeat	150
classARentLocal	32 USD/sqft/yr
classARentUsd	$32/sqft/yr
vacancyPct	17.4%
typicalLeaseYears	7
typicalRentFreeMonths	10
talentIndex	76
corporateTaxPct	25.85%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Salt Lake City?: Most cluster in Silicon Slopes (Provo). Rent runs ~32 USD/sqft ($32 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Salt Lake City?: Typically high-end at $155–220/sqft.
How much office space per seat should a ai and machine learning occupier plan in Salt Lake City?: 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 Salt Lake City?: 76/100. Use the city profile for full detail.

Editorial provenance

Reviewed by Class A Atlas Editorial Desk — House byline · global editorial team. 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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