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As global tech giants compete to increase AI infrastructure construction, Moody's Ratings warns that the AI investment boom is eroding the free cash flow of large cloud computing service providers and driving up balance sheet risks. Future investors will pay more attention to whether these companies can get sufficient returns from huge AI investments. Moody's said in a research report released this week that six technology companies, including Microsoft, Amazon, Google's parent company Alphabet, Meta, Oracle, and CoreWeave, are shifting from an “asset-light” business model that relied on software, intellectual property, and cloud services in the past to an “asset-heavy” model that requires large-scale construction of infrastructure such as data centers. Moody's pointed out that this transformation requires an unprecedented level of capital investment and financing, and could weaken the credit quality of these companies. The agency predicts that investment in AI infrastructure will continue to rise, and the capital expenditure of the six companies will reach about $785 billion in 2026, and further approach 1 trillion US dollars in 2027. The report points out that compared with traditional software businesses, generative AI requires a large amount of hardware investment such as data centers, GPU servers, and high-performance chips, which has led to a fundamental change in the development path of the technology industry that has relied on an asset-light model to maintain high profit margins and a stable balance sheet for a long time.
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As global tech giants compete to increase AI infrastructure construction, Moody's Ratings warns that the AI investment boom is eroding the free cash flow of large cloud computing service providers and driving up balance sheet risks. Future investors will pay more attention to whether these companies can get sufficient returns from huge AI investments. Moody's said in a research report released this week that six technology companies, including Microsoft, Amazon, Google's parent company Alphabet, Meta, Oracle, and CoreWeave, are shifting from an “asset-light” business model that relied on software, intellectual property, and cloud services in the past to an “asset-heavy” model that requires large-scale construction of infrastructure such as data centers. Moody's pointed out that this transformation requires an unprecedented level of capital investment and financing, and could weaken the credit quality of these companies. The agency predicts that investment in AI infrastructure will continue to rise, and the capital expenditure of the six companies will reach about $785 billion in 2026, and further approach 1 trillion US dollars in 2027. The report points out that compared with traditional software businesses, generative AI requires a large amount of hardware investment such as data centers, GPU servers, and high-performance chips, which has led to a fundamental change in the development path of the technology industry that has relied on an asset-light model to maintain high profit margins and a stable balance sheet for a long time.
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