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

Most cluster in Charlottenburg & Westend. Rent runs ~44 EUR/sqft ($53 USD) for trophy and prime stock.

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

Typically high-end at $135–200/sqft.

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

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 Berlin?

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

AI and machine learning occupiers in Berlin typically cluster in Charlottenburg & Westend, plan ~150 sqft per seat at high-end fit-out ($135–200/sqft), and pay around 44 EUR/sqft ($53 USD) on Class A.

Preferred submarket: Charlottenburg & Westend.
Typical fit-out spec: High-end ($135–200/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 44 EUR/sqft ($53 USD).
Typical lease: 5 years with 4 months rent-free.
Talent depth in Berlin: 88/100.

AI and machine learning office space in Berlin

AI and machine learning occupiers in Berlin typically cluster in Charlottenburg & Westend, plan ~150 sqft per seat at high-end fit-out">fit-out ($135–200/sqft), and pay around 44 EUR/sqft ($53 USD) on Class A.

TL;DR

Preferred submarket: Charlottenburg & Westend.
Typical fit-out spec: High-end ($135–200/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 44 EUR/sqft ($53 USD).
Typical lease: 5 years with 4 months rent-free.
Talent depth in Berlin: 88/100.

Where they cluster

AI and machine learning occupiers in Berlin typically anchor in Charlottenburg & Westend. Banking, law, professional services, retail HQs.

What they pay

Class A rent in Berlin runs 44 EUR/sqft ($53 USD) on a 5-year lease with 4 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 $135–200/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 Berlin 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 tech and creative talent pool in Germany. Strong feed from TU Berlin, HU, FU, and the rapidly growing Hertie School. Multilingual talent base supports non-German European HQs.

Tax and lease context

Headline corporate tax: 30%. Net leases dominate. 5-10 year terms; tenants frequently negotiate break options at year 3 or 5. Free rent of 3-6 months on a 5-year deal; TI of €60-€100/sqm typical.

Key facts

city	Berlin
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	Charlottenburg & Westend
preferredFitoutSpec	High-end
fitoutBand	$135–200/sqft
sqftPerSeat	150
classARentLocal	44 EUR/sqft/yr
classARentUsd	$53/sqft/yr
vacancyPct	7.4%
typicalLeaseYears	5
typicalRentFreeMonths	4
talentIndex	88
corporateTaxPct	30%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Berlin?: Most cluster in Charlottenburg & Westend. Rent runs ~44 EUR/sqft ($53 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Berlin?: Typically high-end at $135–200/sqft.
How much office space per seat should a ai and machine learning occupier plan in Berlin?: 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 Berlin?: 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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