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今晚的美股反弹之下并非100%安全,也别盲目乐观过度fomo,市场并未完全摆脱危机! 根据目前AI行业的财报情况来看,AI基础设施需求过度集中与依赖微软、亚马逊、谷歌与META 四大云厂商的财报,这意味着市场风险也过度集中 接下来美股盘后就是就是亚马逊与苹果的财报,这意味着本周的风险点仅仅过了50%,如果苹果与亚马逊财报出现问题,依旧会威胁到美股AI整体叙事的信心 苹果财报关注点: Apple Intelligence 最新进展 IPhoin与中国市场的需求 Services服务业务增长情况 管理层对AI战略的最新表态 亚马逊关注点: AWS云业务增速情况 AI资本开支情况 AI对利润率的影响 管理层对未来几个季度AI投资的节奏指引 凌晨财报亚马逊财报权重高于苹果财报,苹果财报验证的是AI应用,亚马逊则是验证AI基础设施的落地情况,更受当下投资者与市场关注 所以,如果亚马逊AWS超预期,资本支出继续提升,管理增继续强调AI需求强劲,则对市场有美股人工智能板块有利好效果,反之,如果资本开支放缓,ASW增速低于预期,则对美股信心是打压效果!#微软逆势下调资本开支,盘后涨8.5%
Cato_KT
Cato_KT
Microsoft and META have released their earnings reports, but their stock price movements show extreme divergence. The core issue lies in investors beginning to validate the future commercialization logic of AI during the Q2 earnings season. Looking at the two earnings reports, the biggest difference is that Microsoft has already validated the feasibility of future AI commercialization through its earnings, providing the market with confidence through revenue. In contrast, META is still burning cash, which is not well received in the current earnings season environment. In the secondary market, META's pre-market drop is 8%, while Microsoft's pre-market rise is 8%, with the market's attitude being practically verified through stock price changes. First, let's look at Microsoft: 1. Azure growth exceeded expectations and accelerated again, proving to the market with data that AI demand has not slowed down. This indicates very high GPU utilization, continuous increase in enterprise AI deployment, and no reduction in enterprise IT budgets, further validating the feasibility of AI infrastructure. 2. Copilot is Microsoft's key AI commercialization application for the future. Previously, the market questioned Microsoft's future AI commercialization capability. Now, 30 million paid seats provide the answer. Microsoft's enterprise software revenue has a market, and there is still significant room for growth. This signal also validates that the AI industry has entered the next phase—not competing on selling models, but focusing on how to implement applications. 3. Microsoft's capital expenditure continues to increase, but the profitability brought by commercialization is catching up with the spending. The cycle from expenditure to profit is beginning to form a closed cash flow loop, which is exactly what the market needs to see now. Now, let's look at META: 1. Advertising revenue continues to increase and remains META's core profit source. 2. The lower bound of capital expenditure has been raised from $125 billion–$145 billion to $130 billion–$145 billion. Don't underestimate this $5 billion increase in the lower bound. For the current market, there are certain doubts and concerns about capital expenditure itself. META is signaling to the market and investors that it is still burning cash. 3. The metaverse business Reality Labs continues to lose money. This loss has been accepted by the market, but in the current environment, META continues to burn cash and incur losses, naturally affecting investor confidence. The comparison of business logic reflects in the short-term stock prices of the two companies: According to business logic, there is a key difference between META and Microsoft, and this difference is the most fatal flaw in the current quarter's earnings. Microsoft's AI investment leads to profitability with a direct cash flow link and the fastest positive feedback, giving the market more confidence in the company. META, on the other hand, increases investment on top of AI-driven revenue growth. AI does not directly bring profit but helps META's advertising revenue. The positive feedback is slightly weaker and lagging compared to Microsoft. This subtle difference in business logic also causes short-term investor confidence to be insufficient. Through the horizontal comparison of Microsoft and META, it clearly proves that the AI sector has officially entered a new validation phase. Capital expenditure is buying the future, which was the previous narrative. Now, investors want to see how companies profit after spending to form a closed cash flow loop. The biggest market question—Is AI really worth the current valuation? The macro environment determines whether money is expensive. Is money expensive now? Actually, it is somewhat expensive. Under the Washington policy, high interest rates are maintained, even too high, with the possibility of future rate hikes. This makes the market worry that money will become more expensive and the financing environment will worsen, which is a fatal factor for enterprise valuation growth. Corporate earnings determine whether money should be spent. For the current Q2 earnings, whoever can present a cash flow closed loop in the AI commercial era is worth buying because now investors are buying not narratives but profitability. This reflects investors' concerns about money becoming more expensive in the future. Impact of the two companies' earnings on the AI industry chain: #微软逆势下调资本开支,盘后涨8.5% Although META's earnings have some flaws, both companies continue to increase key capital expenditures. Regardless of whether META can make money and tighten cash flow, at least it dares to spend money now. The continued expansion of capital expenditure potentially benefits upstream and downstream industries in the future, such as NVIDIA, AMD, Broadcom, TSMC, SK Hynix, Samsung, optical modules, HBM, telecommunications networks, and servers. Currently, in pre-market trading, related sector companies' stock prices have rebounded to varying degrees, with only META showing a significant decline. However, it should be noted that this week's major U.S. stock market test is not over yet. A substantial rebound still depends on the overall earnings next week. Several factors to watch out for going forward: 1. Currently, major companies' capital expenditures continue to increase. If future revenue slows down, it may exacerbate investors' concerns. 2. AI investment concentration is too high. Currently, AI demand is mainly concentrated in a few super large companies like Microsoft, META, Google, and Amazon. High concentration means risks are also concentrated. If any company's earnings slow down, the negative impact on the entire industry will be more severe. 3. With Microsoft's earnings release, AI business logic has been validated, which will put more pressure on subsequent earnings from Apple and Amazon. Moreover, with breakthroughs in artificial intelligence in China, technology companies facing major tests will face even greater pressure. Chapter summary: In the entire Q2 earnings, the AI chain looks at capital expenditure and orders. But facing the macro high-pressure environment, profitability in corporate earnings has become the market's focus. Whoever can make money quickly and bring cash inflow can gain more support. As expectations rise that money will become more expensive, companies wanting investors to buy in need to deliver more satisfactory results!

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