Hyperscalers like Meta, Amazon, and Google are massively increasing their capital expenditure to build out AI infrastructure. This spending is a primary focus for investors, as it directly impacts free cash flow and profitability in the short term, as seen with Meta's stock decline and Amazon's reduced cash flow.
After a period of slowing growth, cloud divisions are seeing a significant re-acceleration, directly attributed to demand for AI services. AWS reported its highest growth rate in 15 quarters, and Google Cloud also saw remarkable acceleration, demonstrating that AI is a powerful new catalyst for the cloud market.
The discussion has shifted from the potential of AI to tangible evidence of its monetization. Metrics like AWS's $15B+ AI revenue run rate, its massive $244B backlog, and the 40% quarterly growth in Google's Gemini for Enterprise users are becoming key proof points that investors are demanding.
Both Google and Amazon are leveraging their custom silicon to gain a competitive edge. Google is diversifying its TPU portfolio for training and inference, while Amazon's Trainium and Inferentia chip business has become a multi-billion dollar enterprise, helping to manage costs and optimize performance.
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