David Jun Yang says water could become key AI and space infrastructure

At ISDC 2026, sustainability strategist David Jun Yang argued that water and thermal management could become core infrastructure for AI data centers and future lunar systems. He framed waste heat as a resource and introduced a closed-loop concept linking computation, cooling, water recovery and life support. Why it matters: - AI data centers and future space habitats are running into the same bottleneck: heat. - Yang argues that cooling and thermal stability will shape the cost, resilience and scale of intelligent systems. - The framework also links AI infrastructure to long-duration space development, where closed-loop resource systems could be essential. What happened: - David Jun Yang spoke at the International Space Development Conference (ISDC 2026). - Yang presented the “Compute-Water Flywheel,” a closed-loop framework for AI computation, heat management, water extraction, resource recovery and life support. - Yang said water may become the missing infrastructure connecting AI, cooling and future space systems. The details: - Yang described water as a “thermal currency” for AI and future lunar ecosystems. - He said every watt used by intelligence becomes heat. - Yang compared AI infrastructure to power-station systems, where hydrodynamic balance affects heat-transfer efficiency and output. - Yang said the ability to remove heat efficiently increasingly determines the operating limits of silicon. - He said waste heat should be treated as a usable resource, not only an engineering burden. - In Yang’s framework, water functions as a cooling medium, an energy carrier and a foundation for human sustainability. - Yang said future habitats may be designed around thermal zones and closed-loop resource systems rather than isolated engineering modules. - He said such systems could combine computation, resource recovery, agriculture and human habitation. - Yang said the same water systems that sustain biological life may also support high-density cooling, oxygen production, agriculture and long-duration human operations. - Yang drew on more than three decades of experience in sustainability and critical resource systems, along with studies in aerospace engineering, artificial intelligence and computer science. Between the lines: - The argument shifts the focus from adding more power to using heat more intelligently. - That matters because AI growth is making cooling a bigger share of total energy use. - Yang’s view also reframes the Moon as infrastructure, not just a destination. - He said permanently shadowed lunar regions and lunar water resources could support resource cycling, thermal management and closed-loop operations. - The broader thesis is that computation, energy and life support should be treated as one system rather than separate engineering problems. What’s next: - Yang said the next competitiveness test will be whether infrastructure can convert energy into sustainable computation efficiently. - He expects future work to focus on thermal zones, water recovery and resource-recycling systems for Earth and cislunar space. - Yang said the AI and Space Age will require a new generation of infrastructure thinking. The bottom line: - Yang’s core claim is simple: in the AI era, heat management may matter as much as compute, and water may be the infrastructure that makes both scalable.