From Data to Sovereignty: The Infrastructure Race in Southeast Asia

Southeast Asia is currently at the center of a high-stakes race to construct the physical backbone of the global AI boom, yet the region’s intense tropical climate presents a formidable hurdle. With data center demand projected to grow by 20% annually through 2028, local leaders view this infrastructure as essential for economic sovereignty. As Mayank Shrivastava, CEO of BDx Data Centers, notes, “The ecosystem has realized that if they don’t latch on to this next wave, they might end up being digitally colonized.” He argues that data is the new "raw material," and the economic gains will naturally flow to the nations capable of converting it into "finished goods."

However, maintaining the delicate hardware required for AI is notoriously difficult in a region where temperatures consistently fluctuate between 80 and 95°F—well above the ideal 64 to 81°F range. Professor Lee Poh Seng of the National University of Singapore emphasizes that "the central issue in the tropics is not heat alone, but heat and humidity together." This combination complicates dew-point control and increases the risk of corrosion, threatening the long-term reliability of these massive investments.

Despite these environmental stressors, the region remains attractive due to its proximity to 85% of the world’s population that lives outside temperate zones. To bridge the gap, Singapore has introduced the Tropical Data Center Standard, which encourages facilities to operate at slightly higher temperatures (up to 26°C) to save energy. Shrivastava describes the implementation of these new standards as a "mammoth effort," likening the process of adjusting operating metrics to "tinkering with the engines while the aircraft was flying."

While the U.S. market struggles with regulatory delays and aging power grids, Southeast Asia offers "room to build." Major players like Amazon, Microsoft, and Google are investing billions in the region, drawn by its connectivity and strategic position. Yet, as Professor Lee points out, "AI infrastructure is fundamentally an energy-and-cooling challenge wrapped inside a digital-economy opportunity." Success will not be defined by speed alone, but by "credible performance in power usage effectiveness" and the adoption of "thermally intelligent" designs, such as liquid-based heat removal.

To power this expansion sustainably, operators are turning to the tropics' natural assets. Shrivastava highlights the abundance of "sun, wind, and water," while Eric Fan, CEO of Bridge Data Centres, notes that geopolitical instability is further pushing the region to diversify into hydrogen and solar energy. Ultimately, the winners in this AI race will be those who can harmonize the digital demand with the physical realities of a warming planet.