- Morgan Stanley's latest research report predicts that global cloud computing capital expenditure will reach $1.2 trillion by 2027, a year-on-year increase of about 30%, which is approximately $17 billion higher than the estimate before the release of the second quarter report in 2026. The main driving force comes from AI workloads and external cloud demand exceeding capacity limits.
- Among the four major U.S. hyperscale cloud service providers, Alphabet (GOOGL:US), Amazon (AMZN:US), and Meta (META:US) have significantly raised their 2026 capital expenditure guidance. Amazon has increased its spending cap to $220 billion, while Microsoft's (MSFT:US) basic expenditure remains at $190 billion.
- Despite facing hardware supply bottlenecks and rising memory costs, cloud giants have generally accelerated their performance growth in the third quarter. Google Cloud's revenue surged by 82% year-on-year, while Azure and AWS achieved growth of 43% and 37%, respectively, demonstrating strong depreciation breakeven capabilities and long-term contract stickiness.
Widespread Increase in Capital Expenditure Guidance and Supply-Demand Imbalance
Leading cloud providers have successively raised capital expenditures due to the rapid expansion of AI computing power demand. Alphabet (GOOGL:US) and Amazon (AMZN:US) have increased their 2026 spending caps to $205 billion and $220 billion, respectively. This large-scale increase in capital expenditure not only confirms the strong supply-demand imbalance in computing power infrastructure but also indicates that tech giants are accelerating the conversion of operating cash flow into long-term AI competitiveness, significantly boosting market expectations for profitability in the AI hardware industry chain.
Core Cloud Business Revenue Growth Exceeds Expectations Across the Board
Benefiting from increased GPU cluster utilization and the large-scale implementation of AI applications, Google Cloud, Microsoft Azure, and AWS have all achieved performance breakthroughs, with Google Cloud's year-on-year growth reaching 82%. The strong rebound in cloud service revenue indicates that the enterprise AI commercialization loop is gradually being established, and computing power investment has begun to translate into substantial high-margin orders, effectively boosting global investors' risk appetite for the cloud infrastructure sector.
Market Consensus Expectations May Be Significantly Underestimated
Morgan Stanley points out that the current market estimate of $1.2 trillion in capital expenditure may be too conservative, as the implied year-on-year growth rate for non-AI cloud computing expenditure in 2027 is only 7%. The bank's own estimate of $1.4 trillion suggests potential momentum for a revaluation of tech stocks, with funds likely to further concentrate on high-growth segments such as the computing power supply chain and upstream semiconductors.
Enhanced Confidence in Cash Flow Support and Investment Return Rate
Management teams of major companies generally emphasize that AI capacity is secured by long-term orders, and server investments can achieve breakeven within three years. Strong free cash flow and diversified financing channels reduce the financial cliff risk brought by capital expenditures. Policy and macroeconomic favorable expectations further consolidate the bottom support of high-valuation sectors, driving capital towards high-certainty tech leaders.
