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

Most cluster in Downtown. Rent runs ~78 USD/sqft ($78 USD) for trophy and prime stock.

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

Typically high-end at $185–270/sqft.

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

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 Miami?

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

AI and machine learning occupiers in Miami typically cluster in Downtown, plan ~150 sqft per seat at high-end fit-out ($185–270/sqft), and pay around 78 USD/sqft ($78 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: 78 USD/sqft ($78 USD).
Typical lease: 7 years with 9 months rent-free.
Talent depth in Miami: 78/100.

AI and machine learning office space in Miami

AI and machine learning occupiers in Miami typically cluster in Downtown, plan ~150 sqft per seat at high-end fit-out">fit-out ($185–270/sqft), and pay around 78 USD/sqft ($78 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: 78 USD/sqft ($78 USD).
Typical lease: 7 years with 9 months rent-free.
Talent depth in Miami: 78/100.

Where they cluster

AI and machine learning occupiers in Miami typically anchor in Downtown. Banking, government, professional services, legal.

What they pay

Class A rent in Miami runs 78 USD/sqft ($78 USD) on a 7-year lease with 9 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 Miami 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 bilingual (Spanish-English) finance and legal talent. Deep Latin American banking, asset management, and family-office concentrations. Tech talent is shallower than NY/SF but growing rapidly.

Tax and lease context

Headline corporate tax: 21%. Modified-gross structures dominate; 7-10 year terms are common. Free rent of 6-12 months and TI of $80-$140/sqft typical on a 10-year deal. Personal guarantees common for sub-investment-grade tenants.

Key facts

city	Miami
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Downtown
preferredFitoutSpec	High-end
fitoutBand	$185–270/sqft
sqftPerSeat	150
classARentLocal	78 USD/sqft/yr
classARentUsd	$78/sqft/yr
vacancyPct	11.8%
typicalLeaseYears	7
typicalRentFreeMonths	9
talentIndex	78
corporateTaxPct	21%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Miami?: Most cluster in Downtown. Rent runs ~78 USD/sqft ($78 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Miami?: Typically high-end at $185–270/sqft.
How much office space per seat should a ai and machine learning occupier plan in Miami?: 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 Miami?: 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

Full sources index · Submit a correction