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

Most cluster in North Sydney. Rent runs ~1480 AUD/sqft ($89 USD) for trophy and prime stock.

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

Typically high-end at $225–320/sqft.

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

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 Sydney?

85/100. Use the city profile for full detail.

AI and machine learning occupiers in Sydney typically cluster in North Sydney, plan ~150 sqft per seat at high-end fit-out ($225–320/sqft), and pay around 1480 AUD/sqft ($89 USD) on Class A.

Preferred submarket: North Sydney.
Typical fit-out spec: High-end ($225–320/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 1480 AUD/sqft ($89 USD).
Typical lease: 7 years with 30 months rent-free.
Talent depth in Sydney: 85/100.

AI and machine learning office space in Sydney

AI and machine learning occupiers in Sydney typically cluster in North Sydney, plan ~150 sqft per seat at high-end fit-out">fit-out ($225–320/sqft), and pay around 1480 AUD/sqft ($89 USD) on Class A.

TL;DR

Preferred submarket: North Sydney.
Typical fit-out spec: High-end ($225–320/sqft).
Plan ~150 sqft per seat for headcount sizing.
Class A rent context: 1480 AUD/sqft ($89 USD).
Typical lease: 7 years with 30 months rent-free.
Talent depth in Sydney: 85/100.

Where they cluster

AI and machine learning occupiers in Sydney typically anchor in North Sydney. Tech, telecom, consulting, corporate satellites.

What they pay

Class A rent in Sydney runs 1480 AUD/sqft ($89 USD) on a 7-year lease with 30 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 $225–320/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 Sydney 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. Australia's deepest financial-services, technology, and professional-services talent pool. Average all-in compensation indexes 85.

Tax and lease context

Headline corporate tax: 30%. Standard 5-10 year lease. Gross or net structure (both common). Australian leases distinguish 'face rent' (headline) from 'effective rent' (face minus incentive). Incentives of 30-40% are now standard — typically structured as rent abatement, fit-out contribution, or both.

Key facts

city	Sydney
industry	AI and machine learning
naics	541715, 541511, 518210
preferredSubmarket	North Sydney
preferredFitoutSpec	High-end
fitoutBand	$225–320/sqft
sqftPerSeat	150
classARentLocal	1480 AUD/sqft/yr
classARentUsd	$89/sqft/yr
vacancyPct	12.6%
typicalLeaseYears	7
typicalRentFreeMonths	30
talentIndex	85
corporateTaxPct	30%

Frequently asked questions

Where do ai and machine learning occupiers lease office space in Sydney?: Most cluster in North Sydney. Rent runs ~1480 AUD/sqft ($89 USD) for trophy and prime stock.
What fit-out spec do ai and machine learning occupiers run in Sydney?: Typically high-end at $225–320/sqft.
How much office space per seat should a ai and machine learning occupier plan in Sydney?: 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 Sydney?: 85/100. Use the city profile for full detail.

Editorial provenance

Reviewed by Kenji Watanabe — APAC 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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