最新报道：According to a report from O.XYZ, AI computing has become a geopolitical asset, and Web3 may be the loser. Geopolitical realignments have made AI prohibitively expensive for most Web3 developers. According to a report released by O.XYZ on Thursday, August 14, AI computing has become a geopolitical asset, with countries vying for control. The report reveals that chips are no longer the only bottleneck for AI. Even with the cooling of Nvidia GPU prices, infrastructure remains one of the primary limiting factors for large-scale AI deployment. Due to increased demand, data center infrastructure has reached its limits in some regions. This is evidenced by Amazon's "Project Greenland," which restricts the deployment of compute-intensive services to specific regions. This scarcity also translates into significant regional disparities in AI computing costs, with price differences as high as sixfold. "Computing has become a geopolitical asset," said Ahmad Shadid, founder and CEO of O.XYZ. "Web3 projects that ignore the new geographies of chips, power, and law will find themselves beholden to centralized gateways. The survivors will be those that plan for scarcity, validate hardware and content, and diversify across jurisdictions." The report reveals that AI chip production has fragmented into three major groups, each increasingly independent of the others. One, led by Malaysia and Thailand, is aligned with the United States and enjoys privileged access to the US market. China, on the other hand, is expanding its AI chip production through Huawei's Ascend 910C and CloudMatrix clusters. Meanwhile, the UAE, Saudi Arabia, and India are establishing their own groups.