# AI and machine learning office space in Copenhagen

> AI and machine learning occupiers in Copenhagen typically cluster in Frederiksberg, plan ~150 sqft per seat at high-end fit-out ($10000–14500/sqft), and pay around 2400 DKK/sqft ($32 USD) on Class A.

**Canonical URL:** https://classa.info/cities/copenhagen/industries/ai-machine-learning
**Page type:** city-industry
**Last updated:** 2026-04-15T00:00:00.000Z
**License:** CC BY 4.0 with attribution to Class A Atlas (https://classa.info).

## TL;DR
- Preferred submarket: Frederiksberg.
- Typical fit-out spec: High-end ($10000–14500/sqft).
- Plan ~150 sqft per seat for headcount sizing.
- Class A rent context: 2400 DKK/sqft ($32 USD).
- Typical lease: 5 years with 4 months rent-free.
- Talent depth in Copenhagen: 85/100.

## Key facts
- **city**: Copenhagen
- **industry**: AI and machine learning
- **naics**: 541715, 541511, 518210
- **preferredSubmarket**: Frederiksberg
- **preferredFitoutSpec**: High-end
- **fitoutBand**: $10000–14500/sqft
- **sqftPerSeat**: 150
- **classARentLocal**: 2400 DKK/sqft/yr
- **classARentUsd**: $32/sqft/yr
- **vacancyPct**: 7.6%
- **typicalLeaseYears**: 5
- **typicalRentFreeMonths**: 4
- **talentIndex**: 85
- **corporateTaxPct**: 22%

## FAQ
### Where do ai and machine learning occupiers lease office space in Copenhagen?
Most cluster in Frederiksberg. Rent runs ~2400 DKK/sqft ($32 USD) for trophy and prime stock.

### What fit-out spec do ai and machine learning occupiers run in Copenhagen?
Typically high-end at $10000–14500/sqft.

### How much office space per seat should a ai and machine learning occupier plan in Copenhagen?
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 Copenhagen?
85/100. Use the city profile for full detail.

---
Citation: Source: Class A Atlas (https://classa.info/cities/copenhagen/industries/ai-machine-learning), updated 2026-04-15T00:00:00.000Z.