South Korean technology firm LG CNS completed a 30-megawatt hyperscale AI data center in Jakarta, Indonesia on Monday, built for KMG, a joint venture between Indonesia's Sinar Mas Group and Korea Investment Real Asset Management.
The project is one piece of a much larger wave of investment in artificial intelligence infrastructure spreading across Asia this year, as companies race to build the computing capacity needed to train and run AI models closer to the customers and businesses that will use them. Data centers of this scale require significant amounts of electricity and specialized cooling and networking equipment, and their construction has become a major driver of capital spending across the technology sector globally, with governments in the region increasingly competing to attract this kind of investment as a source of jobs and economic growth.
The buildout extends beyond data centers into robotics. According to figures compiled by the Chinese research firm ITjuzi, Chinese companies working on so-called embodied AI, artificial intelligence built into physical robots, raised roughly 93.5 billion yuan, or about $13 billion, across 322 funding deals in the first half of 2026, five times the amount raised in the same period a year earlier. The surge reflects growing investor appetite for robotics ventures that combine AI software with physical machines capable of working in factories, warehouses and other real-world settings, an area many investors see as the next major phase of the broader AI investment cycle after years of focus on chatbots and data-center software.
Taken together, the Jakarta data center and the robotics funding surge illustrate how the current AI investment cycle is not confined to the United States or any single country, but is playing out simultaneously across multiple Asian markets, from South Korea's established technology conglomerates to Indonesia's growing digital economy to China's deep pool of robotics startups.
What is a hyperscale data center?
It is a very large data center, typically built by or for major technology companies, designed to handle massive computing workloads such as training AI models.
What is 'embodied AI'?
It refers to artificial intelligence systems built into physical machines, such as robots, that can sense and act in the real world rather than existing only as software.