An Overview of Anti & Pro Mechanisms: The Value Gap of DeSci Infrastructure
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Small models "steal" demand for cloud computing power, trillion-dollar data center capital expenditure faces a test
A Jefferies report points out that improvements in small language model performance and declining costs may lead enterprises to shift AI deployment from the cloud to localized solutions, impacting investments in hyperscale data centers. With falling server utilization rates and a mismatch between the massive capital expenditures of tech giants and actual computing power demand, some data centers risk becoming "stranded assets." Although AI demand persists, the scale and returns of centralized computing power are facing reassessment.