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

Most cluster in Gare District. Rent runs ~50 EUR/sqft ($60 USD) for trophy and prime stock.

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

Typically high-end at $140–210/sqft.

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

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 Luxembourg?

88/100. Use the city profile for full detail.

AI and machine learning occupiers in Luxembourg typically cluster in Gare District, plan ~150 sqft per seat at high-end fit-out ($140–210/sqft), and pay around 50 EUR/sqft ($60 USD) on Class A.

Preferred submarket: Gare District.
Typical fit-out spec: High-end ($140–210/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 50 EUR/sqft ($60 USD).
Typical lease: 9 years with 6 months rent-free.
Talent depth in Luxembourg: 88/100.

AI and machine learning office space in Luxembourg

AI and machine learning occupiers in Luxembourg typically cluster in Gare District, plan ~150 sqft per seat at high-end fit-out">fit-out ($140–210/sqft), and pay around 50 EUR/sqft ($60 USD) on Class A.

TL;DR

Preferred submarket: Gare District.
Typical fit-out spec: High-end ($140–210/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 50 EUR/sqft ($60 USD).
Typical lease: 9 years with 6 months rent-free.
Talent depth in Luxembourg: 88/100.

Where they cluster

AI and machine learning occupiers in Luxembourg typically anchor in Gare District. Banking back-office, professional services, fund administration, telecom.

What they pay

Class A rent in Luxembourg runs 50 EUR/sqft ($60 USD) on a 9-year lease with 6 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 $140–210/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 Luxembourg 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 fund administration and private banking talent pool in the EU. Multilingual (French, German, English, Luxembourgish) professional base. Cross-border commuter labour from France, Belgium, and Germany makes up roughly 50% of the workforce.

Tax and lease context

Headline corporate tax: 24.94%. Net leases. 9-year terms with break options at years 3 and 6 standard. Free rent of 6-9 months and TI of €60-€100/sqm typical.

Key facts

city	Luxembourg
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Gare District
preferredFitoutSpec	High-end
fitoutBand	$140–210/sqft
sqftPerSeat	150
classARentLocal	50 EUR/sqft/yr
classARentUsd	$60/sqft/yr
vacancyPct	4.8%
typicalLeaseYears	9
typicalRentFreeMonths	6
talentIndex	88
corporateTaxPct	24.94%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Luxembourg?: Most cluster in Gare District. Rent runs ~50 EUR/sqft ($60 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Luxembourg?: Typically high-end at $140–210/sqft.
How much office space per seat should a ai and machine learning occupier plan in Luxembourg?: 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 Luxembourg?: 88/100. Use the city profile for full detail.

Editorial provenance

Reviewed by Samuel Okafor — EMEA contributing editor. 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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