Country profile · Rank 66 of 108 · Primed
Thailand compute capacity
Thailand runs about 200 MW of live datacenter capacity as of 7 September 2026, a Gross Domestic Compute of $10B. Its identified energy resource could host about 25 GW of AI compute, a ceiling worth $1.5 to 2.0T at today's price of a gigawatt, about 4 times its $577B GDP. The bankable slice today, discounted mainly for governance and physical conditions, is $199B, or $2,759 per person. Thailand is primed, ranked 66 of 108 countries by unlockable value.
Key numbers
| Live datacenter capacity | 200 MW | IT capacity, mid-2026, compiled from industry and national sources. |
|---|---|---|
| Live compute (GDC) | $10B | Live GW × $50B, the central price of an AI factory. |
| Resource ceiling | 25 GW | Identified hydro, geothermal, solar, wind and surplus fossil resource. |
| Ceiling value | $1.5 to 2.0T | Ceiling GW × $60 to 80B per GW, NVIDIA's all-in figure. |
| Ceiling as a multiple of GDP | 4× | High end over nominal GDP of $577B (IMF). |
| Unlockable value | $199B | Firm untapped GW × $50B × readiness. The bankable slice. |
| Unlockable per person | $2,759 | IMF population, 2026. |
| Built | 16.4% | Hydro and geothermal already installed, over the ceiling. |
| Readiness | 69% | Eight-part discount. Binding: governance and physical conditions. |
| Conversion score | 19 | 0 to 100. Unchanged since 19 Aug. |
| Tier | Primed | Readiness 65% or better with a ceiling at least 3× GDP. Ready, with real headroom left to build. |
| Rank | 66 of 108 | By unlockable value. 5 of 10 in SE Asia. |
Three numbers, one scale
Ceiling is what the endowment could host; unlockable is the slice underwriters would sign today; live compute is what runs. Drawn on one linear scale on purpose: the gap is the point.
Latest signal
Projects on the ground
No sovereign AI factory for Thailand is on the register yet. Announcements, contracts and stalls are tracked as reported; send one to the desk.
SE Asia: how Thailand compares
| # | Country | Unlockable | Live compute | Readiness | Tier |
|---|---|---|---|---|---|
| 10 |  Indonesia | $1.5T | $20B | 63% | Emerging Upside |
| 51 |  Myanmar | $296B | under $1B | 22% | Sleeping Giant |
| 55 |  Papua New Guinea | $281B | under $1B | 37% | Sleeping Giant |
| 56 |  Philippines | $281B | $5.0B | 56% | Emerging Upside |
| 66 | Thailand | $199B | $10B | 69% | Primed |
| 70 |  Vietnam | $186B | $7.5B | 57% | Emerging Upside |
| 73 |  Laos | $180B | under $1B | 51% | Sleeping Giant |
| 88 |  Malaysia | $105B | $75B | 75% | Primed |
| 89 |  Cambodia | $96B | $1.0B | 48% | Sleeping Giant |
| 108 |  Singapore | under $1B | $55B | 87% | Incumbent |
What compute costs right now
The price of the silicon a country would host, from the tape. Labeled buy-now prints from named venues.
Questions people ask
How much data center capacity does Thailand have?
Thailand runs about 200 MW of live datacenter IT capacity as of 7 Sep 2026, compiled from SemiAnalysis, Cushman & Wakefield, Rystad, Knight Frank and national reports. Valued at $50B per gigawatt, that is a Gross Domestic Compute of $10B.
What is Thailand's compute net worth?
The ceiling is $1.5 to 2.0T: 25 GW of identified hydro, geothermal, solar, wind and surplus fossil resource valued at $60 to 80B per gigawatt, NVIDIA's all-in figure for an AI factory. That is 4 times Thailand's $577B GDP. The bankable slice today, after a readiness discount of 69%, is $199B.
What holds Thailand back from converting its energy into compute?
Readiness scores 69% on an eight-part discount stack (governance, stability, GPU access, grid, fiber, momentum, physical conditions and capital access). For Thailand the binding discounts are governance and physical conditions. It has built 16.4% of its ceiling as generating capacity, and its conversion score is 19 of 100.
How does Thailand compare with its neighbours?
Thailand ranks 66 of 108 countries by unlockable value, and 5 of 10 in SE Asia. The regional leader is Indonesia at $1.5T unlockable and $20B of live compute.
Cite this page
Free with attribution for research, journalism and personal use. Method, sources and every parameter: how the numbers are made.