Rohan Paul@rohanpaul_ai · X据推文分析，美国超大规模云厂商到2027E的AI基础设施支出预计约为中国同行的8.3倍，差距悬殊。AI优势当前与算力获取（GPU、数据中心、电力、网络等）高度绑定，更大规模投入意味着在训练前沿模型、运行推理、吸引开发者及补贴AI产品上拥有更广阔空间。引用推文指出，即使考虑购买力平价（PPP），美中AI资本支出差异仍令人震惊；未来几年美国头部AI公司或将比中国竞争对手拥有更庞大的资源推广AI系统。
China is growing very quickly in AI， but the scale difference is brutal， spending gap is enormous.
By 2027E， US hyperscalers are expected to spend about 8.3x more than Chinese hyperscalers on AI infrastructure.
And at least as of now， AI advantage is very much tied to compute access： GPUs， data centers， power， networking， cooling， storage， and the ability to serve models at massive scale.
Better algorithms matter， but when 1 side can deploy hundreds of billions more into infrastructure， it gets a much larger surface area for training frontier models， running inference， attracting developers， and subsidizing AI products.
So looks like top US AI companies will have far more muscle to roll out AI systems than their Chinese competitors over the next few years.