Asia's AI boom at risk without deeper power markets

Asia's race to dominate the global AI value chain is colliding with hard infrastructure reality. Nearly every major Asian economy has announced a formal national AI masterplan, with Japan leading the way in January with a 370 trillion yen ($2.3 trillion) budget, more than a quarter of which is earmarked for artificial intelligence and chips over the next 15 years. The opportunity is real: training frontier AI models requires enormous concentrations of computing power in a handful of locations, while inference pushes low-latency facilities into dense urban hubs—work that the region is well-positioned to host.

Yet the data tells a cautionary tale. Data center power demand across Asia-Pacific is expected to increase by an estimated 165% in 2023–30, but Asia delivered only about 38% of its announced data center capacity in 2024, one of the widest plan-to-delivery gaps of any market globally. This shortfall is particularly acute in Malaysia and India, the two countries banking on a digital infrastructure boom. In Johor, Malaysia, regulators have banned the construction of Tier 1 and 2 data center facilities due to concerns over the strain on local water infrastructure. In India, government hopes to double projected capacity by the end of the next financial year are being thwarted by severe grid delivery lags.

The root cause is infrastructure, not political will. Despite rapid progress in renewable energy generation, reliable systems require major grid upgrades. Renewables are typically built far from demand centers and generate power intermittently; without new transmission and storage, server racks will struggle to operate at full capacity. According to the International Energy Agency's Southeast Asia Outlook, grid and storage investment in 2025 was just $13 billion, far lower than the $50 billion needed annually till 2050. What the article terms "bragawatts"—impressive megawatt announcements that move far more slowly into actual energy delivery—have left commodity markets confused: copper prices have remained high on assumptions of surging data center construction demand, while transformer costs are running at two to three times pre-2020 levels as developers lock in scarce equipment.

The U.S. offers a cautionary precedent. Up to half of all planned U.S. data center projects may not come online this year. In the first three months of the year alone, 75 data center projects worth a combined $130 billion were blocked or delayed by local opposition, matching the total blocked in all of 2025. Yet even facing these delays, the U.S. has a further $4 trillion in data center construction planned through 2028, and its mature wholesale electricity markets offer investors the transparency and pricing signals that Asian systems lack. Most Asian electricity markets still rely on a traditional vertically integrated model: state-owned utilities act as single buyers, retail tariffs are set administratively, and limited trading is allowed for third parties. This opacity leaves renewable energy investors with less certainty over long-dated returns, which in turn stalls the grid projects that data centers are waiting to connect to.

Some Asian jurisdictions are beginning to respond. Singapore, Malaysia, and South Korea have introduced regulatory frameworks requiring data center developers to draw up plans for battery storage and curtailment management alongside grid-impact assessments. Separately, some electricity markets are opening: Japan's power futures market is the fastest-growing electricity derivatives market globally, India's power exchange IEX now runs day-ahead and term-ahead markets, and electricity has been flowing and traded commercially from Laos through Thailand and Malaysia to Singapore since 2022. These steps point toward what deeper Asian power markets could look like—instruments and platforms that let generators, industrial users, and investors hedge and price electricity with confidence. Yet each quarter that Asian operators wait for grid connections is another quarter of compute, talent, and capital that could end up being deployed elsewhere.