ChainThink 消息,7 月 6 日,据报道,追踪用户实际算力支出的 Silicon Data LLM Token 消费指数较 5 月高点下跌近 20%,显示 AI 算力消费增速明显放缓,市场对大模型厂商定价能力及数千亿美元 AI 资本开支回报的质疑升温。
安联研究数据显示,AI 投资与销售额之间的增长鸿沟已达 46%,高于 2001 年电信泡沫破裂时的 32%。
不过,多头观点认为,尽管 Token 均价自 2023 年以来下跌约九成,但总支出仍增长近一倍,指数回落更接近降价后的结构性消化。监管因素也在抬升企业使用成本。
美国对前沿模型发布和跨国准入审查趋严,欧盟《人工智能法案》则对顶级模型提出更严格合规要求,促使部分企业将工作负载转向监管负担更轻的中轻量模型。硬件侧亦出现变化。
虽然顶级 GPU 和 HBM 订单已排至 2026 年、供需明显缓解或要等到 2028 年,但市场采购重心已开始从训练芯片转向推理优化硬件,行业受益格局正在调整。
Disclaimer: Contains third-party opinions, does not constitute financial advice
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