Earnings reports and future outlooks from six of the seven major U.S. tech giants, excluding Nvidia, have been released. These global leaders in large-scale artificial intelligence investment signaled clearly that they have no plans to scale back their ambitious spending on AI computing infrastructure, aiming to capitalize on an unprecedented "AI moment." Microsoft (MSFT.US), Amazon (AMZN.US), Meta Platforms (META.US), and Alphabet (GOOGL.US) all reported quarterly results. Prior to these releases, Wall Street analysts agreed that the most critical figure would be the projected AI capital expenditure from these four hyperscale cloud providers. Their simultaneous reports conveyed a unified message: the AI spending race is far from over, with combined capital expenditure projected to near $725 billion by 2026. The tech giants are willing to endure pressure on cash flow and profit margins rather than risk falling behind in the computing arms race.
Overall, these companies aim to convince investors that their massive investments in AI are poised to generate record returns. Consequently, their increasingly robust AI capital spending serves as a substantial positive factor for the AI compute supply chain and the global stock market rally driven by the AI compute narrative. Before this quarter, market estimates suggested the group's AI spending for the year would be around $6700 billion. Following the earnings releases, this figure has been revised upward to approximately $7250 billion. AI capital expenditure shows no signs of cooling; instead, it continues to be aggressively revised higher.
Meta raised its 2026 capital expenditure guidance to $125-145 billion. Alphabet increased its 2026 capital expenditure to $180-190 billion and indicated that 2027 would see a "significant" further increase. Microsoft outlined an ambitious AI infrastructure plan targeting about $190 billion in capital expenditure for the 2026 calendar year, with approximately $25 billion related to component price increases. Amazon maintained its previously stated capital expenditure plan nearing $200 billion. Summing these figures, and excluding Tesla's recently announced multi-billion dollar capital expenditure plan, the combined 2026 capital expenditure for these four giants indeed approaches $725 billion.
The earnings reports from the four giants signal a unified message: The "AI spending war" is far from over. Meta was the first to announce its updated 2026 plan, raising its capital expenditure expectation to a range of $125 billion to $145 billion, increasing both the lower and upper limits by $10 billion. Meta stated the revised forecast was due to "anticipating higher costs for key components related to AI compute infrastructure—such as HBM and eSSD storage chips—and, to a lesser extent, increased data center construction costs to support capacity growth for the coming year." Meta's stock fell approximately 6% following the report.
Alphabet management informed investors on its earnings call that it now expects full-year capital expenditure to be in the range of $180 billion to $190 billion, a significant increase of $5 billion at both ends of the range. Looking ahead to 2027, the company told investors it expects capital expenditure to increase "significantly." Alphabet's stock rose 7% after the report, which showed Google Cloud revenue growth substantially exceeded expectations.
Microsoft told investors on its Wednesday evening earnings call that it expects calendar year 2026 capital expenditure to reach $190 billion, including a $25 billion impact from component price increases, similar to Meta's expectation. The company stated, "Given stronger signals of demand for AI compute resources and increasing usage of AI-related products, alongside efficiency gains we are driving across our platform, we remain confident in the return on these investments." As of January, Microsoft's annualized AI capital expenditure run rate was接近 $150 billion.
Amazon had indicated in January that it expected 2026 capital expenditure to be接近 $200 billion; during the first-quarter earnings call, the company continued to tell investors that its capital expenditure plans "remain largely unchanged." A significant portion of these investments is directed towards purchasing high-performance chips from leaders in the AI compute supply chain like Nvidia (NVDA.US).
Combined with Nvidia's late-February quarterly results and recent signals from major chip manufacturers like TSMC (TSM.US), there are few indications that this quarter would mark a pullback in investment signals from any of these hyperscale cloud providers. Furthermore, supply constraints for data center-grade high-performance CPUs, DRAM/NAND storage chips, and other data-center-focused low-power chips have propelled some established tech companies, such as SanDisk (SNDK.US), Western Digital (WDC.US), and Intel (INTC.US), into leadership positions in the latest market rally. Seagate Technology (STX.US), a leading HDD manufacturer, saw its stock surge up to 11% after reporting quarterly results on Wednesday, serving as the latest evidence of intensifying AI bullish sentiment.
However, reports over the past week suggested that at least two of these companies—Meta and Microsoft—are seeking to streamline their teams. These investments are not without cost. After years of generating substantial free cash flow, major tech companies are increasingly tapping debt markets to finance these expenditures. The contours of the AI trade theme also appear susceptible to rapid shifts. Market sentiment towards software stocks has waned, and investor enthusiasm for investments related to new AI models from startups like OpenAI and Anthropic seems to fluctuate quickly.
Nevertheless, for the largest global tech behemoths, all signals continue to point towards AI representing an opportunity with primarily one major risk: under-investment. While individual company earnings reports varied in reception, the unprecedented capital expenditure surge powerfully sustains the AI bull market. The common signal from the latest reports of the four cloud giants is this: Even if individual stock prices diverge due to ROI, margin, or free cash flow pressures, the aggregate level of AI capital expenditure is not cooling but is instead being revised upward.
For instance, Microsoft's report was strong but not a "flawless AI victory lap"—investors acknowledge strengthening AI compute demand but are beginning to demand proof that massive AI capital expenditure can consistently translate into stronger cloud and software revenue, overall margins, and robust cash flow growth. However, Microsoft's report did confirm that AI compute demand is still expanding explosively ($190 billion allocated for data center expansion and new builds), Azure growth remains接近 40%, and its enterprise software foundation is solid. This also benefits the AI compute chain—AI GPUs/ASICs, data center CPUs, HBM, etc.—by ensuring continued exceptionally strong order support.
For the AI compute chain, this nearly amounts to a reinforcement of "order visibility": GPU/ASIC, HBM/DRAM/NAND, HDD, PCB/CCL/MLCC, optical modules, switches, copper cables, data center power equipment, liquid cooling, and data center engineering and power infrastructure all stand to benefit. Particularly as bottlenecks now extend beyond just GPUs to memory, storage, PCB, networking, and power, the giants' continued capital expenditure increases mean pricing power, capacity utilization, and order visibility for upstream hardware suppliers are likely to remain high.
Alphabet's cloud revenue growing 63% year-over-year, with cloud backlog nearing $462 billion, and Microsoft's Azure growing approximately 40%, with an AI business annualized revenue run rate exceeding $37 billion, demonstrate that AI investment is not merely narrative but is already materializing in cloud-related revenue generation, enterprise AI demand, and compute consumption.
Undoubtedly, the AI capital expenditure frenzy continues to be the primary engine of the bull market, but the market is becoming increasingly discerning about "who can convert investment into actual revenue, profit, and even cash flow." Alphabet rose due to strong cloud growth and high AI demand visibility; Meta fell due to increased capital expenditure and uncertainty regarding the investment return cycle, indicating the market is not blindly rewarding spending but is筛选ing for winners with clearer ROI.
The conclusion is: Regardless of individual stock reactions to earnings, the shared stance of the four cloud giants—"preferring to over-invest rather than under-invest"—provides powerful support for the AI compute supply chain and the underlying tone of the global stock market rally driven by the AI narrative.