Aktienanalyse zu Microsoft Corp (MSFT)MSFTMicrosoft Corp

Hello everyone. Looking at today's market, as Big Tech earnings season is in full swing, it is clear that the market is at a particularly sensitive juncture. Tesla and Meta's results offer important clues not only for these two companies but also for the future of the entire AI ecosystem. Let us examine this situation with a calm mind from an investor's perspective. First, let us answer the question everyone is asking: do earnings beats always drive stock prices higher? The short answer is: no, absolutely not. In fact, according to recent Zacks research, nearly half (47.3%) of stocks that beat expectations still closed lower on the following trading day. Meta is a recent example. Although the company's revenue reached $64.6 billion, beating expectations and growing 26%, its stock price still faced downward pressure due to rising AI investment costs (2026 capex is projected at $135-145 billion) and one-time legal expenses. The market is no longer just asking "how much did you earn?" but "how effectively are you spending those earnings?" Tesla's situation is slightly different. Although both revenue and EPS beat expectations, its stock fell 3% in after-hours trading. The main reasons are fluctuations in automotive business margins and the fact that the autonomous driving (Robotaxi) narrative has not yet been materially reflected in the company's financial statements. So can AI investment deliver sustainable long-term growth? Over the past few weeks, this question is precisely what has kept the market volatile. Gartner analysts raised a compelling point: mathematically, the AI-related capital expenditure (capex) planned from 2027 to 2030 appears difficult to fully cover with the AI revenue expected from these investments. Meta's stock recently fell more than 7%, and Nvidia fell 4%, essentially because investors are asking: "So much money has been spent—when will it pay off?" However, let us not forget that the AI transformation is a marathon, not a sprint. Short-term profit-taking does not mean the long-term trend is over. Now to the core question: which tech giant am I most optimistic about? For me, the star of this earnings season will be the cloud business segment. Microsoft, Alphabet, and Amazon are scheduled to report results on October 28-29. CFRA analysts expect Google Cloud's growth rate to be between 85% and 90%, a clear sign that AI investment is beginning to translate into tangible revenue. If cloud revenue meets or exceeds expectations, market confidence in AI spending may recover. Apple and Nvidia also deserve special attention. Apple will report on November 2, which will reveal consumer demand for AI and hardware margins. Meanwhile, Nvidia will report on November 18, when we will get the clearest picture of the chip demand underpinning all these investments. In short, friends, the market is currently in a "digestion" phase. The AI narrative remains compelling, but investors now want to see actual financial returns from that narrative. Do not be intimidated by short-term volatility. What matters is being able to see traces of AI investment in these companies' balance sheets. I personally am eagerly awaiting the data the cloud giants will release next week. Do not make decisions based on headlines alone; be sure to do your own research. This article does not constitute investment advice. #ShareWeekly #USEarningsSeason

#USStockEarningsSeason #WeeklyShowcase Deep dive: Why am I most bullish on Microsoft this earnings season? Let me set a benchmark first: the core question of this AI infrastructure cycle is just one—can hundreds of billions of dollars in capex turn into visible revenue? Whoever provides "conversion evidence" first deserves a premium. Among the five companies, Microsoft has the hardest evidence and is the only one the market has already "stress-tested" with a sharp rally. Reason one: No one else has clearer evidence of AI investment conversion. - Azure grew 43%, the fastest since 2022, and next quarter's guidance was raised to 45%. Note the quality of this signal: it's not a one-off "beat this quarter," but "accelerating on such a large base." Management's exact words: demand continues to exceed available capacity—supply is the constraint, not demand. - Backlog RPO is $678 billion, up 84% year over year, and 90% of it comes from non-frontier-model companies. This shows demand is broad enterprise demand, not a bet on any single AI lab. - Copilot paid seats exceeded 30 million, with net additions doubling quarter over quarter; after switching to usage-based billing, Copilot revenue accelerated by more than 60% quarter over quarter—AI is already charging by "usage," which is a commercialization milestone, not a story. In one sentence: others say "we believe AI will make money"; Microsoft says "we have $678 billion signed in contracts, and growth is accelerating." Reason two: While spending heavily, its financial foundation is the most resilient. - Quarterly capex was $41 billion, but free cash flow was still positive at $19.6 billion. Compare: Meta -$2.1 billion, Alphabet turned negative for the quarter, Amazon negative on a TTM basis—only Microsoft is "building roads while still taking in cash." - Operating margin actually rose to 45%: efficiency gains are offsetting AI depreciation pressure. - The cost structure is flexible: two-thirds of capex goes into short-term assets (GPU/CPU), so if demand really deteriorates, it can hit the brakes quickly; long-cycle investments such as land and buildings are a small share and can be staggered. This is "able to attack and defend": on offense, AI demand can be captured; on defense, cash flow provides a backstop. Reason three: The broadest positioning, earning a "platform tax." - Multi-model strategy: more than 11,000 models in its cloud catalog, with OpenAI, Anthropic, Mistral, xAI, and its own MAI all available—no matter which model wins, the cloud running the models is where it gets paid. - A full suite for the agent era: Foundry with 100,000 customers, Agent 365 with 40 million registered agents, Fabric as the data foundation—Copilot is only the entry point; enterprise agents are the next big business. - In-house chips are cutting costs: Maia 200 improves tokens per dollar by more than 30%, and Cobalt CPU covers nearly half of regions—using in-house silicon to压低 costs and multi-model support to expand customers. Reason four: The market has already "stress-tested" it. After the July 29 earnings report, Microsoft surged 15% in a single day, adding about $450 billion in market value—the largest single-day market value increase in history. In the same week, Alphabet cloud grew 82% but fell 7%. The difference is one word: conversion. Azure's 43% and guidance of 45% convinced the market that "capex is turning into revenue"; those that only raise capex without conversion evidence get asked "when will you earn it back." But the risks to watch are all still there. 1. Capex is still ramping: FY27 guidance is about $175 billion; if AI revenue growth reverses, depreciation will weigh on margins. 2. Gross margin pressure: the higher the AI revenue share, the lower cloud gross margin (already in the 65-67% range). 3. Memory price increases: storage costs are pushing up the entire cost curve—this is an industry-wide issue. 4. PC/Xbox drag: personal computing was -4%, though it is a small share. 5. Don't ignore one-off items: this quarter's net income included $3.2 billion from an Anthropic gain; excluding it gives a truer picture. Three metrics to track, checkable every quarter: ① whether Azure growth can stay above 40%; ② quarter-over-quarter growth of Copilot usage-based revenue; ③ whether free cash flow stays positive. If all three improve together, the logic still holds; if one breaks, it needs reassessment. Summary: I am most bullish on Microsoft not because it grows fastest, but because it is the only company in this AI infrastructure cycle that simultaneously offers the trio of "conversion evidence + financial discipline + platform positioning." Others are either telling the future (Meta/Apple), betting on elasticity (Nvidia), or catching up on spending (Alphabet/Amazon)—Microsoft is the one already standing on the "delivery" side.

Breaking: Inception's Mercury 3 has received backing from Microsoft's M12 and Nvidia's venture arm, and is now live on Venice with anonymous use available. The diffusion model generates 1,068 tokens per second with a context window of 1 million tokens. @AskVenice

$MSFT (-0.3% pre) OpenAI to bring AI models to $GOOGL Google's cloud, in further expansion beyond Microsoft

Tech companies are cutting jobs again, and this time it's not just Silicon Valley. Amazon, Meta, Google, and Microsoft have all trimmed roles over the past two years, and non-Silicon Valley firms like SAP and Cisco are restructuring too. According to layoff trackers, the global tech industry has cut six-figure numbers of positions over the past two years. On the surface it shows up as "restructuring charges" and "severance costs" on earnings reports, but behind it is mortgage rate pressure hitting ordinary households first: the U.S. 30-year fixed mortgage rate approached 8% at one point and remains above 6% even after pulling back. On the same loan, monthly payments are several hundred dollars higher than during the low-rate era, and credit card and auto loan delinquency rates are also ticking up. Households cut spending first, then businesses feel demand cool, and only then does that line on the earnings report appear. Before every Fed meeting, the market prices in expectations ahead of time: when rate-cut hopes heat up, stocks and bonds rally first; on the actual day, even an in-line outcome feels like a non-event, or even "buy the rumor, sell the fact." So don't treat a single meeting as a turning point, and companies aren't making decisions based on one rate decision either. Layoffs at this scale show companies are stockpiling for winter, not waiting for spring. They're cutting projects, freezing hiring, requiring return-to-office, and concentrating resources on the most profitable businesses to protect margins and cash flow first. In other words, this isn't a short sprint of adjustment but positioning for a "longer winter." Has anyone around you been caught up in this wave? Did they take severance and leave, or transfer roles, take pay cuts, or face a hiring freeze? Share your thoughts.