The rapid expansion of data centers in Malaysia, driven by the artificial intelligence boom, is beginning to put tangible pressure on the country's key resources. This concerns not only electricity supply but also water resources and the labor market. This is an alarming signal for the entire region, which is actively attracting investments in digital infrastructure.
Scale of the Problem: Water and Energy
According to my calculations, based on an analysis of macroeconomic data from ASEAN+3 countries, one data center with a capacity of 100 MW consumes approximately 4.2 million liters of water daily. This is comparable to the water consumption of a small town. The main burden falls on the state of Johor, where about 80% of all the country's operational computing capacity is concentrated.
The situation is exacerbated by forecasts. By 2029, the total capacity of data centers in Malaysia could reach 3–4 GW. For comparison: this is comparable to the capacity of several large nuclear power plants. Such growth will inevitably lead to electricity and water shortages in regions with a high concentration of these facilities, especially under tropical climate conditions, where cooling systems operate at their limits.
Risks for the Labor Market and Economy
In addition to the resource burden, a personnel problem also arises. The construction and operation of data centers require highly qualified specialists — from power engineers to DevOps engineers. Given Malaysia's limited labor market, this creates wage imbalances and a drain of talent from other industries, which could slow down economic diversification.
Expert Commentary: Malaysia risks becoming a victim of its own success. Without large-scale investments in modernizing power grids and implementing water-saving systems (e.g., closed-loop cooling), the country will face an infrastructure collapse as early as 2027–2028. For the crypto and AI industries, this means rising operational costs and potential restrictions on deploying new capacity. I recommend that investors consider these risks when planning projects in Southeast Asia.