The dominant narrative framing America's data center explosion as a desperate sprint to outpace China collapses under basic arithmetic. As of mid-2026, the United States operates between 4,000 and 5,400 data centers—roughly 8-10 times more than China's 365-449 facilities, according to multiple independent trackers. The UK and Germany each host more data centers than China. This is not a close contest; it is structural dominance. Yet policymakers, industry lobbyists, and media routinely invoke the China threat to justify trillions in subsidies, accelerated permitting, grid overhauls, and overrides of local environmental opposition. The statistic reveals how threat inflation selectively ignores existing realities to advance concentrated interests. Deeper examination shows the mismatch extends beyond raw counts. US facilities generally pack higher average compute density and electrical capacity than their Chinese counterparts, which often feature larger physical footprints but lower utilization and older hardware mixes. However, China holds a stark advantage in raw energy expansion—having effectively built the equivalent of the entire US power grid in recent years while adding clean generation at speed. The US, by contrast, faces multi-year delays on transformers, grid interconnection queues stretching into the next decade, and ironic dependence on Chinese-manufactured electrical equipment to fuel its own AI campuses. McKinsey and JLL projections of $7 trillion in global data center investment by 2030, with AI driving the majority, underscore the boom's scale. Yet the geopolitical wrapper appears performative: US leads in hyperscale cloud, AI model training infrastructure, and (via export controls) cutting-edge chips. The 'China lag' storyline functions less as accurate analysis and more as narrative scaffolding for domestic policy—fast-tracking projects that enrich hyperscalers, reshape real estate and energy markets, and externalize costs onto communities and the environment. This pattern mirrors broader heterodox observations: national security rhetoric frequently serves as flexible cover for centralized economic planning that benefits specific corporate constituencies while sidelining questions of sustainability, grid resilience, and whether endless physical expansion is the optimal path when efficiency, nuclear revival, or distributed computing could address bottlenecks more intelligently. The data center disparity does not mean complacency toward Chinese AI progress is warranted; Beijing is aggressively building in energy, applications, and global infrastructure exports. It does expose how selective statistics sustain perpetual emergency framing, obscuring that infrastructure policy is shaped as much by internal political economy as by external rivalry. The real race may be less about who builds more sheds and more about who masters power generation, compute efficiency, and resilient systems without self-sabotaging through regulatory capture or environmental blind spots.