Why Data Centers are NOT a "Technology Business" ?
- martin teo
- 2 days ago
- 3 min read

【98% of people misunderstand the real business model of data centers!】
Data centers are NOT a “technology business.”
So how do banks actually evaluate and approve loans for building data centers?
1. Why data centers are essentially an “industrial leasing business”
1️⃣ Core revenue model = rent + power + infrastructure
A data center doesn’t make money by “doing tech.” It makes money by:
* Renting out racks
* Leasing space (wholesale / colocation)
* Charging for power usage
* Charging for network connectivity
👉 In essence, it’s like:
* Factory = rent factory space
* Data center = rent “server factories”
✔️ Who are the customers?
* Cloud providers (AWS, Azure, Google Cloud)
* Financial institutions
* E-commerce platforms
👉 They don’t buy buildings — they lease long-term.
2️⃣ Contract structure = long-term leases (5–15 years)
Typical agreements include:
* 5 / 10 / 15-year leases
* With clauses like:
* Minimum commitment (space/power)
* Take-or-pay (pay regardless of usage)
👉 This is critical:
📌 Highly similar to real estate
📌 Predictable, stable cash flow
3️⃣ Investment structure = capital intensive (high CapEx)
Building a data center requires:
* Land
* Buildings
* Power systems (substations)
* Cooling systems
* Network infrastructure
💰 Cost:
👉 Hundreds of millions to billions (RM)
👉 Comparable to:
* Industrial parks
* Warehouses
* Commercial buildings
✔️ Therefore classified as:
👉 Infrastructure + Industrial Real Estate
4️⃣ Operating model = “serviced property”
A normal landlord:
* Just collects rent
A data center operator:
* Provides:
* 24/7 power
* Cooling systems
* Security
* Network reliability
👉 So it’s more like:
📌 “High-end industrial property + technical operations”
2. How banks view data centers
Banks do NOT treat them as tech companies. Instead:
1️⃣ Classified as “infrastructure assets”
Bank categories:
* Property
* Infrastructure
👉 Data centers sit in between
✔️ Key characteristics:
* Long-term stable cash flow
* High barriers to entry
* Strong customer stickiness
👉 For banks, this means:
💡 A high-quality lending asset
2️⃣ The 3 things banks care about most
(1) Tenancy strength
Banks will ask:
* Are there anchor tenants (hyperscalers)?
* Lease duration?
* Take-or-pay clauses?
👉 If tenants include:
* AWS / Microsoft / Google
✔️ Huge credit enhancement
(2) Power capacity ⚡
The core of a data center is NOT the building — it’s electricity.
Banks evaluate:
* Stability of power supply
* Approved capacity (MW)
* Scalability
👉 No power = asset value collapses
(3) Cash flow stability
Banks model it like real estate:
* EBITDA stability
* DSCR (debt service coverage ratio)
* Occupancy rate
👉 If:
* Pre-leased
* Long-term contracts in place
✔️ Banks are very willing to lend
3️⃣ Financing structure (similar to real estate)
Common structures:
* Project financing
* REITs (yield assets)
* Sale & leaseback
👉 In essence:
📌 Asset-based investment — NOT a tech startup
3. Why people mistakenly think it’s a tech business
Because it serves:
* Cloud computing
* AI
* Big data
But look deeper:
👉 Tech companies = use data centers to make money
👉 Data centers = make money by leasing
✔️ One is “operating technology”
✔️ The other is “monetizing infrastructure”
4. The key takeaway
👉 A data center is NOT a tech business. It is:
💡 “An infrastructure leasing business wrapped in a tech narrative”
5. A practical investment perspective (important)
If you’re an investor or property player, think of it this way:
👉 Data center = “selling power + space + reliability”
Final insight
👉 Bank lending is NOT about formulas — it’s about risk.
Formulas are tools. Cash flow is the answer.




Comments