AI and machine learning occupiers in Taipei typically cluster in Songshan, plan ~150 sqft per seat at high-end fit-out ($8100–12000/sqft), and pay around 4500 TWD/sqft ($47 USD) on Class A.
AI and machine learning occupiers in Taipei typically cluster in Songshan, plan ~150 sqft per seat at high-end fit-out">fit-out ($8100–12000/sqft), and pay around 4500 TWD/sqft ($47 USD) on Class A.
AI and machine learning occupiers in Taipei typically anchor in Songshan. Tech, telecom, multinational corporate HQs, professional services.
Class A rent in Taipei runs 4500 TWD/sqft ($47 USD) on a 5-year lease with 3 months free. Prime submarkets sit at or modestly above the city index.
Typical ai and machine learning fit-out targets high-end specification at $8100–12000/sqft. Branded reception, full client-facing programming, premium furniture, and specialist AV are standard.
Plan around 150 sqft per seat blended (workstation + circulation + amenity). A 100-headcount ai office in Taipei typically targets 15,000 sqft of leasable area.
Frontier research talent clusters near top-tier ML programs and adjacent compute / GPU supply; loft-style trophy stock is the normal fit. Deepest semiconductor and electronics talent in Asia. Strong feed from National Taiwan University, NTHU, and the broader Taiwan university system. Mandarin and Taiwanese operating environment with strong English in tech.
Headline corporate tax: 20%. Net leases. 3-5 year terms standard with renewal options. Free rent of 2-4 months and TI of TWD 800-1,500/ping typical on a 5-year deal.
| city | Taipei |
|---|---|
| industry | AI and machine learning |
| naics | 541715, 541511, 518210 |
| preferredSubmarket | Songshan |
| preferredFitoutSpec | High-end |
| fitoutBand | $8100–12000/sqft |
| sqftPerSeat | 150 |
| classARentLocal | 4500 TWD/sqft/yr |
| classARentUsd | $47/sqft/yr |
| vacancyPct | 4.2% |
| typicalLeaseYears | 5 |
| typicalRentFreeMonths | 3 |
| talentIndex | 86 |
| corporateTaxPct | 20% |
Reviewed by Kenji Watanabe — APAC contributing editor. Last updated 2026-04-15. See our methodology and editorial standards.