# AI and machine learning office space in Santiago

> AI and machine learning occupiers in Santiago typically cluster in Nueva Las Condes, plan ~150 sqft per seat at high-end fit-out ($500000–740000/sqft), and pay around 22000 CLP/sqft ($27 USD) on Class A.

**Canonical URL:** https://classa.info/cities/santiago/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: Nueva Las Condes.
- Typical fit-out spec: High-end ($500000–740000/sqft).
- Plan ~150 sqft per seat for headcount sizing.
- Class A rent context: 22000 CLP/sqft ($27 USD).
- Typical lease: 5 years with 4 months rent-free.
- Talent depth in Santiago: 80/100.

## Key facts
- **city**: Santiago
- **industry**: AI and machine learning
- **naics**: 541715, 541511, 518210
- **preferredSubmarket**: Nueva Las Condes
- **preferredFitoutSpec**: High-end
- **fitoutBand**: $500000–740000/sqft
- **sqftPerSeat**: 150
- **classARentLocal**: 22000 CLP/sqft/yr
- **classARentUsd**: $27/sqft/yr
- **vacancyPct**: 9.4%
- **typicalLeaseYears**: 5
- **typicalRentFreeMonths**: 4
- **talentIndex**: 80
- **corporateTaxPct**: 27%

## FAQ
### Where do ai and machine learning occupiers lease office space in Santiago?
Most cluster in Nueva Las Condes. Rent runs ~22000 CLP/sqft ($27 USD) for trophy and prime stock.

### What fit-out spec do ai and machine learning occupiers run in Santiago?
Typically high-end at $500000–740000/sqft.

### How much office space per seat should a ai and machine learning occupier plan in Santiago?
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 Santiago?
80/100. Use the city profile for full detail.

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