At the 2026 Space Computing Power Industry Ecosystem Conference in Chengdu on July 22, Sichuan province unveiled the Panda Space Computing Power Constellation, marking a strategic pivot in orbital infrastructure development. Unlike traditional aerospace projects initiated by satellite manufacturers, this constellation is being architected through direct collaboration between space operators and leading terrestrial AI firms, including Tencent Cloud, Alibaba Cloud, SenseTime, iFlytek, XtalPi, Huakun Zhenyu, and MetaX. The initiative signals a fundamental industry shift: orbital computing will now be demand-driven by AI workloads rather than supply-driven by launch capabilities. Historically, space computing followed an aerospace-first model, where engineers first adapted hardware for radiation and thermal constraints before searching for viable applications. The Panda project reverses this sequence. AI and cloud providers are now engaging at the architectural stage to define chip specifications, satellite bus designs, and inter-satellite networking protocols. This ensures the resulting infrastructure is natively optimized for large model inference, agent coordination, and real-time data processing, rather than functioning merely as a secondary payload. The project builds upon earlier orbital computing trials conducted between 2025 and early 2026, which successfully demonstrated on-orbit Qwen model deployment, inter-satellite data routing, and multi-application testing. Those phases resolved the technical feasibility of placing and networking computing hardware in low Earth orbit. The current Sichuan initiative advances the sector toward commercialization, targeting remote sensing data processing, disaster response, low-altitude economy monitoring, and edge inference in regions lacking terrestrial connectivity. Guoxing Aerospace, recently designated as a provincial AI industry chain leader, is tasked with orchestrating the cross-sector collaboration. Its role extends beyond satellite manufacturing and launch services to integrating terrestrial compute, cloud platforms, and application ecosystems into a unified orbital network. This governance model reflects a broader trend among Chinese municipalities, where local authorities are positioning space computing as a strategic infrastructure layer for national AI development. Industry analysts note that the initiative must overcome three critical hurdles to transition from prototype to operational service. First, AI firms must move beyond partnership announcements to co-develop hardware-software co-design standards for orbital environments. Second, performance metrics must shift from launch success rates to sustained, billable compute utilization. Third, the ecosystem must identify repeatable, high-value workloads that justify the premium cost of orbital deployment over terrestrial data centers. As the Panda constellation moves toward engineering realization, it establishes a new benchmark for space-AI convergence. By allowing terrestrial AI demands to dictate orbital architecture, the project transforms satellites from isolated data collectors into active nodes within a global, decentralized computing grid. The long-term success of this model will determine whether space-based AI becomes a scalable utility or remains a specialized experimental platform.