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中文(ZH) 高盛:AI投资规模仍被低估,2030年Token消耗量或增长24倍

Goldman Sachs: AI data center spending to hit $1.4T by 2027

Goldman Sachs predicts that spending by hyperscale data center operators on AI will significantly exceed current market expectations, potentially reaching $1.4 trillion by 2027. This surge is driven by an anticipated 24-fold increase in token consumption by 2030, fueled by the rise of enterprise agents. The increased demand for tokens will consequently boost the need for data centers, chips, networking equipment, and power infrastructure. AI

IMPACT This forecast suggests a substantial increase in demand for AI infrastructure, impacting hardware, networking, and power sectors.

RANK_REASON Report from a major financial institution projecting significant future industry investment. [lever_c_demoted from significant: ic=1 ai=0.7]

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  1. 36氪 (36Kr) TIER_1 中文(ZH) ·

    Goldman Sachs: AI investment scale is still underestimated, token consumption may increase 24 times by 2030

    高盛报告称,超大规模数据中心运营商在AI领域的支出可能远超市场预期。高盛分析师估计,到2027年,超大规模数据中心运营商的资本支出可能达到约1.1万亿美元,在乐观情况下,支出可能会攀升至1.4万亿美元,而华尔街的预期约为9200亿美元。该行预测,到2030年Token消耗量将增长24倍,这主要得益于企业代理的兴起。而Token消耗量越大,需要的计算能力就越多,这反过来又会刺激对数据中心、芯片、网络设备和电力基础设施的需求。(财联社)