AI and machine learning occupiers in Tampa typically cluster in Westshore, plan ~150 sqft per seat at high-end fit-out ($165–235/sqft), and pay around 38 USD/sqft ($38 USD) on Class A.
AI and machine learning occupiers in Tampa typically cluster in Westshore, plan ~150 sqft per seat at high-end fit-out">fit-out ($165–235/sqft), and pay around 38 USD/sqft ($38 USD) on Class A.
AI and machine learning occupiers in Tampa typically anchor in Westshore. Insurance (Citi, BofA back-office), professional services, healthcare HQs.
Class A rent in Tampa runs 38 USD/sqft ($38 USD) on a 10-year lease with 12 months free. Prime submarkets sit at or modestly above the city index.
Typical ai and machine learning fit-out targets high-end specification at $165–235/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 Tampa 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. Strong banking, insurance, healthcare, and cybersecurity talent. University of South Florida and University of Tampa anchor the local pipeline. Strong in-migration from the Northeast continues to broaden the talent base.
Headline corporate tax: 22.5%. Modified-gross structures. 10-year terms standard. Free rent of 10-14 months and TI of $90-$130/sqft typical on a 10-year Class A deal.
| city | Tampa |
|---|---|
| industry | AI and machine learning |
| naics | 541715, 541511, 518210 |
| preferredSubmarket | Westshore |
| preferredFitoutSpec | High-end |
| fitoutBand | $165–235/sqft |
| sqftPerSeat | 150 |
| classARentLocal | 38 USD/sqft/yr |
| classARentUsd | $38/sqft/yr |
| vacancyPct | 18.6% |
| typicalLeaseYears | 10 |
| typicalRentFreeMonths | 12 |
| talentIndex | 72 |
| corporateTaxPct | 22.5% |
Reviewed by Class A Atlas Editorial Desk — House byline · global editorial team. Last updated 2026-04-15. See our methodology and editorial standards.