A constant hum permeates a Microsoft data center in Jakarta, reflecting the tech industry’s rapid growth in Southeast Asia. Big tech firms are pouring investments into the region to capitalize on the increasing demand for artificial intelligence among the tech-savvy populace.
The proliferation of data centers worldwide, integral for storing online data and powering AI applications like chatbots and image processing, is particularly pronounced in Asia. Recently, AFP was granted access to a Microsoft data center in Indonesia, showcasing the industry’s expansion.
Amidst round-the-clock operations to maintain system efficiency, the demand for data center capacity in Southeast Asia is set to triple by 2030 due to a tenfold surge in AI utilization, according to a KPMG report. A Microsoft infrastructure manager highlighted the imminent integration of AI into various digital workflows.
However, the rise of data centers in Asia poses challenges to power grids reliant on fossil fuels and strains local water resources to prevent server overheating. In Indonesia, where coal dominates electricity generation, data centers are projected to quadruple their power consumption by 2030.
The Jakarta data center, equipped with advanced cooling systems to handle the intensity of AI operations, is part of a multi-billion-dollar investment by Microsoft. The company aims to collaborate with local utilities to promote green energy transitions, such as wind, solar, hydropower, and nuclear.
As competition heats up among tech giants, including Amazon, Google, Alibaba, and Tencent, to establish data centers in Jakarta, concerns arise over the region’s sinking land and strained water resources. Scientists warn of the escalating pressure on Jakarta’s water supply as data centers expand.
Microsoft anticipates optimizing water usage through closed-loop systems, aiming to achieve zero water consumption in the future. While the company plans for future expansions to accommodate evolving AI technologies, experts caution about the escalating energy and water demands of next-generation systems.