# AI and machine learning office space in Mexico City

> AI and machine learning occupiers in Mexico City typically cluster in Insurgentes / Condesa-Roma, plan ~150 sqft per seat at high-end fit-out ($2600–3900/sqft), and pay around 580 MXN/sqft ($34 USD) on Class A.

**Canonical URL:** https://classa.info/cities/mexico-city/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: Insurgentes / Condesa-Roma.
- Typical fit-out spec: High-end ($2600–3900/sqft).
- Plan ~150 sqft per seat for headcount sizing.
- Class A rent context: 580 MXN/sqft ($34 USD).
- Typical lease: 5 years with 6 months rent-free.
- Talent depth in Mexico City: 78/100.

## Key facts
- **city**: Mexico City
- **industry**: AI and machine learning
- **naics**: 541715, 541511, 518210
- **preferredSubmarket**: Insurgentes / Condesa-Roma
- **preferredFitoutSpec**: High-end
- **fitoutBand**: $2600–3900/sqft
- **sqftPerSeat**: 150
- **classARentLocal**: 580 MXN/sqft/yr
- **classARentUsd**: $34/sqft/yr
- **vacancyPct**: 22.6%
- **typicalLeaseYears**: 5
- **typicalRentFreeMonths**: 6
- **talentIndex**: 78
- **corporateTaxPct**: 30%

## FAQ
### Where do ai and machine learning occupiers lease office space in Mexico City?
Most cluster in Insurgentes / Condesa-Roma. Rent runs ~580 MXN/sqft ($34 USD) for trophy and prime stock.

### What fit-out spec do ai and machine learning occupiers run in Mexico City?
Typically high-end at $2600–3900/sqft.

### How much office space per seat should a ai and machine learning occupier plan in Mexico City?
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 Mexico City?
78/100. Use the city profile for full detail.

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