AI and machine learning occupiers in Toronto typically cluster in King East & Distillery, plan ~150 sqft per seat at high-end fit-out ($185–270/sqft), and pay around 78 CAD/sqft ($58 USD) on Class A.

  • Preferred submarket: King East & Distillery.
  • Typical fit-out spec: High-end ($185–270/sqft).
  • Plan ~150 sqft per seat for headcount sizing.
  • Class A rent context: 78 CAD/sqft ($58 USD).
  • Typical lease: 10 years with 18 months rent-free.
  • Talent depth in Toronto: 80/100.

AI and machine learning office space in Toronto

AI and machine learning occupiers in Toronto typically cluster in King East & Distillery, plan ~150 sqft per seat at high-end fit-out">fit-out ($185–270/sqft), and pay around 78 CAD/sqft ($58 USD) on Class A.

TL;DR

  • Preferred submarket: King East & Distillery.
  • Typical fit-out spec: High-end ($185–270/sqft).
  • Plan ~150 sqft per seat for headcount sizing.
  • Class A rent context: 78 CAD/sqft ($58 USD).
  • Typical lease: 10 years with 18 months rent-free.
  • Talent depth in Toronto: 80/100.

Where they cluster

AI and machine learning occupiers in Toronto typically anchor in King East & Distillery. Tech, creative agencies, advertising, design.

What they pay

Class A rent in Toronto runs 78 CAD/sqft ($58 USD) on a 10-year lease with 18 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 $185–270/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 Toronto 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 financial-services and tech talent pool in Canada. Average all-in compensation indexes 80.

Tax and lease context

Headline corporate tax: 26.5%. Net leases — tenant pays a base rent plus a proportional share of operating expenses, realty taxes, and utilities (TMI). Rent-free of 12-24 months on a 10-year term is current market. Bank guarantees common for non-investment-grade covenants.

Key facts

cityToronto
industryAI and machine learning
naics541715, 541511, 518210
preferredSubmarketKing East & Distillery
preferredFitoutSpecHigh-end
fitoutBand$185–270/sqft
sqftPerSeat150
classARentLocal78 CAD/sqft/yr
classARentUsd$58/sqft/yr
vacancyPct17.6%
typicalLeaseYears10
typicalRentFreeMonths18
talentIndex80
corporateTaxPct26.5%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Toronto?
Most cluster in King East & Distillery. Rent runs ~78 CAD/sqft ($58 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Toronto?
Typically high-end at $185–270/sqft.
How much office space per seat should a ai and machine learning occupier plan in Toronto?
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 Toronto?
80/100. Use the city profile for full detail.

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Editorial provenance

Reviewed by Miriam Hollander — Lead market analyst. Last updated 2026-04-15. See our methodology and editorial standards.

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