Microsoft Corporation

Nvidia, the major U.S. AI chip maker, announced its latest quarterly results (May-July 2026) with revenue reaching $96.2 billion, up 106% year-over-year and above analyst expectations of about $92 billion. Net income surged to $59.7 billion, or $2.46 per share, up 126% from the same period last year. The data center business, a key revenue driver, brought in $89 billion, more than doubling. Meanwhile, the edge computing business generated $7.2 billion, up 27%. Nvidia forecasts current-quarter revenue (August-October 2026) of $108 billion, above market expectations, and expects next fiscal year's revenue to grow another 70%, citing supply chain constraints as a limiting factor on sales, not weakening demand. Major customers such as Amazon, Microsoft, Alphabet, and Meta are expected to invest nearly $800 billion this year to develop data centers and AI infrastructure.

Microsoft Corp. is expanding its AI footprint in the Middle East through a new long-term partnership with Saudi Arabia's HUMAIN, which is sponsored by the kingdom's Public Investment Fund. The collaboration aims to accelerate enterprise AI adoption across Saudi Arabia and the wider Middle East and Africa region, with a key focus on Arabic-language AI. This deal goes beyond traditional cloud infrastructure contracts, potentially improving AI tools for government, corporate, and consumer use in the region. It also strengthens Microsoft's position in one of the world's most aggressive AI investment markets, as Saudi Arabia invests heavily in data centers and AI infrastructure to diversify its economy away from oil. The success of the partnership hinges on how quickly HUMAIN and Microsoft can turn their investment into popular Arabic AI products.

Chinese AI startup Moonshot AI is in talks to provide its popular model Kimi K3 to major US cloud providers in exchange for a share of revenue from related services, according to three people familiar with the matter. The discussions involve Microsoft, Amazon.com, and Google, and if a deal is reached, it could mark the first major revenue-sharing agreement between a Chinese AI company and a US cloud provider. Moonshot is seeking up to 30% of revenue from Kimi K3-related services offered on Microsoft's Azure, Amazon Web Services (AWS), and Google Cloud. This is said to be in line with the terms offered to large customers using Kimi K3. The talks are at an early stage, and there is no guarantee a deal will be reached. The US government has banned exports of AI semiconductors to China over national security concerns, and senior officials have criticized Moonshot, but powerful Chinese AI models are often significantly cheaper than Western counterparts, and their use is growing in the US. Unresolved issues in the discussions include how revenue will be split, access to data, and auditing of token usage.

Nvidia Corp is reportedly in discussions to invest in Perplexity, the AI startup backed by Jeff Bezos, as it seeks funding at a valuation exceeding $30 billion. Perplexity's annualized revenue has climbed above $750 million, up from less than $250 million at the beginning of the year, according to a report from The Information via Reuters. The growth is partly attributed to Perplexity Computer, a cloud-based AI agent for automating computer tasks. Perplexity has attracted investors including Jeff Bezos and SoftBank, and earlier this year signed a $750 million agreement with Microsoft to use its Azure cloud infrastructure. CEO Aravind Srinivas has said the company plans an IPO in 2028.

EVA Air has signed a Memorandum of Understanding with AIT Worldwide Logistics to jointly advance EVA Air's Green Transportation Program over the next two years. In the first year, EVA Air will provide approximately 15,000 metric tons of CO₂e in Sustainable Aviation Fuel environmental attributes to Microsoft, helping reduce Scope 3 emissions from air transport of its cloud infrastructure equipment. The flights will depart from Taiwan using SAF supplied by Formosa Petrochemical Corporation, produced from used cooking oil and certified under the International Sustainability and Carbon Certification system, delivering about 80% lower lifecycle greenhouse gas emissions compared with conventional jet fuel. The SAF environmental attributes will be issued and retired through the ISCC Credit Transfer System, enabling Microsoft to account for the resulting Scope 3 emissions reductions. The collaboration aims to establish a scalable model that encourages broader corporate participation and accelerates aviation's transition toward net zero.

Growing political and community pushback is creating new headwinds for data center stocks, with concerns ranging from rising electricity demand to water consumption. Pennsylvania, Texas and Michigan have all moved toward tighter oversight or restrictions on new projects, and generous tax incentives once used to attract data center investments are increasingly facing political scrutiny. Jim Cramer of CNBC sees the political backlash as a major advantage for hyperscalers such as Amazon, Alphabet, Microsoft and Meta, whose financial strength could allow them to continue developing data centers even as smaller, speculative developers face greater hurdles. Investors seeking concentrated hyperscaler exposure can consider the Defiance AI Hyperscale Leaders ETF, the Roundhill Magnificent Seven ETF, and the Corgi Mag 7 ETF.

The global AI governance market is projected to grow from $0.89 billion in 2024 to $5.78 billion by 2029, a compound annual growth rate of 45.3%, according to a new report from MarketsandMarkets. The firm attributes the surge to rising regulatory oversight, responsible AI initiatives, and growing enterprise adoption of generative AI, which are accelerating investment in governance platforms. North America is expected to hold the largest market share in 2024, while Asia Pacific is the fastest-growing region. Key players include Microsoft, IBM, SAS Institute, DataRobot, and Dataiku.

Top investors on The Investing for Beginners Podcast named Taiwan Semiconductor Manufacturing, ASML, Amazon Web Services, and Microsoft Azure as AI stocks that could win regardless of which model leads. TSMC ranks first for its manufacturing moat, guiding slightly above 40% year-over-year 2026 revenue growth in U.S. dollar terms, while ASML's EUV lithography monopoly is nearly fully booked for 2027. AWS delivered its fastest growth in 18 quarters at 36.7%, while Azure grew 43% backed by $678 billion in commercial backlog. Frontier labs OpenAI and Anthropic land in the too-hard pile, being private companies whose competitive edge hinges on winning an unpredictable model race.

Jim Cramer argued on Mad Money that political resistance to data center construction may strengthen Microsoft, Alphabet, and Amazon by eliminating speculative builders and easing cost pressures. He cited Texas Governor Greg Abbott and Pennsylvania Governor Josh Shapiro shifting from boosters to critics, and said the hyperscalers can afford to compensate communities while spec builders get obliterated. Cramer also warned the AI trade is currently broken and price-to-earnings multiples are unlikely to expand, advising investors to sell some holdings. Microsoft guided fiscal 2026 capital expenditures to $115.95 billion, Alphabet's Q2 capex reached $44.92 billion, and Amazon spent $54.21 billion in Q2 with an AWS backlog of $496 billion.

OPAQUE, the Confidential AI company, announced TRACE, an open, portable, hardware-enforced governance record for AI agents and other confidential workloads, developed in collaboration with AMD, Intel, Microsoft, and the Technology Innovation Institute. TRACE establishes a vendor-neutral format for proving what software ran, which policies governed execution, what data classifications were involved, and which tools were invoked, and it composes existing standards including RATS, EAT, SLSA, SCITT, SPIFFE, and EAR. The specification will be governed through the Linux Foundation, with CoSAI hosting the technical workstream, and is available today with reference implementations and documentation. OPAQUE first introduced TRACE at the Confidential Computing Summit in June 2026, and its reference library passed 135,000 PyPI downloads in its first ten weeks.

Data centers are driving the largest capital investment in US history, with the five biggest hyperscalers—Amazon, Microsoft, Google, Meta and Oracle—set to spend more than $750 billion on capital expenditures this year, up 67% from last year and roughly 75% earmarked for AI infrastructure. The buildout is straining the electric grid, with utilities now forecasting a sixfold jump in 2030 peak demand growth from predictions just three years ago, and data center electricity use is forecast to rise from 4.4% of US consumption in 2023 to almost 12% by 2030. Politically, more than 70% of Americans oppose a data center in their area, and at least 75 projects totaling roughly $130 billion in potential investment were delayed in Q1 2026, with Pennsylvania Governor Josh Shapiro imposing new requirements, Michigan Senate nominee Mike Rogers backing a one-year moratorium, and Texas Governor Greg Abbott freezing new data centers. Meta is committing more than $50 billion to build Hyperion, a 5-gigawatt data center in Louisiana powered by 10 new natural gas plants, while Nvidia announced over $100 billion in guarantees for an 8-gigawatt project in Ohio to power OpenAI.

Microsoft climbed about 1.1% to $488.93 on Monday even as semiconductor stocks dragged the Nasdaq lower, with investors viewing its massive contracted backlog as a cushion against a tech selloff. Fiscal fourth-quarter revenue jumped 18% to $90 billion, Azure growth accelerated to 43%, and commercial remaining performance obligations surged 84% to $678 billion, with roughly 30% of those commitments expected to convert into revenue within 12 months. Microsoft Cloud revenue advanced 27% to $59.3 billion, while quarterly capital expenditures topped $41 billion, driving free cash flow down 23% to $19.6 billion. The stock trades 15.51% below its GF Value estimate of $578.67.

Anthropic executives believe their upcoming public offering will match or exceed the $75 billion that SpaceX raised in June in what was then the largest first-time share sale ever, according to a Bloomberg report cited by CNBC's Andrew Ross Sorkin. The company could file for its public listing before the end of the month and has pointedly avoided naming a valuation in recent investor briefings. Sorkin said the industry is waiting on Anthropic because the valuation it prints will anchor the valuation OpenAI ultimately comes up with. Both Microsoft and Amazon hold Anthropic as an investment and have booked large non-operating gains from earlier rounds, so whatever mark Anthropic prints will move those carrying values. Amazon's Q2 report showed $53.4 billion in non-operating pre-tax income tied largely to marking up the Anthropic stake, which produced a GAAP EPS of $5.75 against a $1.82 consensus, while Microsoft's Q4 FY2026 included a $3.2 billion gain from its investment in Anthropic as a discrete driver. The real test in the S-1 will be whether public investors receive sufficient disclosure on revenue durability and compute obligations to underwrite the multiple without relying on private-market comps.

Microsoft's AI business has reached a $37 billion annual revenue run rate, up 123% year over year, as the company reported fiscal 2026 revenue of $331.8 billion, up 18%, and operating income of $155.2 billion, up 21%. Azure revenue surpassed $100 billion for the year, with Azure and other cloud services jumping 43% in the most recent quarter. Paid Microsoft 365 Copilot seats have passed 30 million, and the company is tracking toward roughly $120 billion or more in AI-related capital expenditure in fiscal 2026. Analysts surveyed by Yahoo! Finance have a median price target of $569 on Microsoft, implying 17% upside from current levels.

Microsoft's stock upside now depends on how fast it can deliver its massive commercial order book rather than on new AI demand. The company's commercial remaining performance obligation reached $678 billion in fiscal Q4 2026, roughly two years of total revenue, with about 30% expected to convert within twelve months. Management says the entire sequential increase in backlog came from customers outside frontier model companies, and Microsoft 365 Copilot surpassed 30 million paid seats. Azure revenue grew 43% in fiscal Q4 2026, and the company added 31 data centers in the quarter, cutting GPU dock-to-live times by nearly half. Capital expenditures were $41 billion in fiscal Q4 2026, and fiscal 2027 guidance calls for double-digit revenue and operating income growth with operating margins down less than 1 point from a three-year high of 46.8%.

Microsoft's Xbox division is leaning on an unusually dense upcoming release calendar as it works to reverse a multi-quarter sales slide, with the fiscal 2027 slate positioned as the primary lever to lift the gaming business back into growth. At gamescom 2026 in Cologne, the company showcased 25 upcoming titles across 140 gaming stations, including Call of Duty: Modern Warfare 4, Fable, Gears of War: E-Day, Halo: Campaign Evolved, Forza Horizon 6, Metro 2039 and Alien: Isolation 2. Fable is slated for a Feb. 23, 2027, launch, while the Gears of War: E-Day open beta began on Aug. 6, 2026, giving the portfolio a staggered rollout across the new fiscal year rather than a single release window. The roster push follows a weak close to fiscal 2026, when total Xbox revenues fell 10% year over year to roughly $4.98 billion in the fourth quarter, with content and services revenues down 10% and hardware revenues down 13%, marking the segment's softest quarter in more than two years. Xbox operating income declined 14%, with margins compressing to 21% amid severance and impairment charges tied to a broader restructuring, including job cuts and the spin-out of four studios under new Xbox leadership. For the full fiscal year, gaming revenues declined 7% to approximately $21.8 billion, even as the platform added more than 200 million new players. Management has tied the recovery explicitly to content, indicating on the earnings call that the company is resetting its content portfolio, platform and operations, and expects Xbox to return to growth in fiscal 2027. Microsoft's gaming struggles stand out against rivals Sony and Nintendo, both of which posted profit gains in the same April-June 2026 quarter despite softer hardware sales, with Sony's PlayStation segment reporting operating income up 37% to ¥202 billion and Nintendo's operating profit more than doubling to ¥142.5 billion.

Constellation Energy and GE Vernova are positioned to benefit from surging electricity demand from AI data centers. Constellation, which operates the largest nuclear power fleet in the U.S., signed a 20-year power purchase agreement with Microsoft to restart the Three Mile Island nuclear facility in Pennsylvania, now called the Crane Clean Energy Center. GE Vernova, which supplies power generation and distribution hardware, generated $5 billion from data center power equipment in the first half of this year, more than double its total for all of last year, and holds a $176 billion backlog. Constellation Energy shares are down over 25% year to date through August 20, while GE Vernova shares are up over 42% this year and 194% since the start of 2025.

Hedge funds and mutual funds took sharply different approaches to individual AI stocks during the second quarter, according to Goldman Sachs. Hedge funds bought Microsoft and Amazon while mutual funds reduced positions in both, and hedge funds cut exposure to Alphabet, Meta Platforms, Nvidia, Broadcom, Lam Research, Marvell Technology, Cisco Systems, Hewlett Packard Enterprise and Applied Materials. Mutual funds bought Advanced Micro Devices, Micron Technology and Sandisk while hedge funds reduced exposure to those stocks. Goldman identified 12 AI infrastructure stocks purchased by both groups, including American Electric Power, Bloom Energy, CoreWeave, Flex, NiSource, Seagate Technology, Talen Energy and Xcel Energy. The analysis covers 991 hedge funds with $5.4 trillion of gross equity positions and 504 large-cap active mutual funds with $4.6 trillion in equity assets.

Meta Platforms has quietly become one of Microsoft's largest AI customers, reportedly spending hundreds of millions of dollars annually through Azure. According to Bloomberg, Meta consumes trillions of AI tokens each week through Microsoft's Foundry platform, using outside models for tasks including software development and evaluating the output of its own AI systems. Microsoft Foundry gives customers access to models from multiple providers rather than locking them into one AI developer, and the platform had about 100,000 customers as of July. Meta's spending is significant because it comes despite the company building one of the world's largest internal AI infrastructures, and it is already showing up in Meta's financials, with $31.08 billion of capital expenditures in the second quarter and a raised 2026 capex outlook of $130 billion to $145 billion. For Microsoft, Meta adds another large customer to an Azure business already growing rapidly, with Azure and other cloud-services revenue up 43% year over year and Microsoft Cloud revenue reaching $59.3 billion in the latest quarter.

Microsoft is preparing to launch its new Maia 300 AI chip this fall, possibly as soon as next month, as it moves to reduce its dependence on Nvidia. The company is in talks with TSMC to secure manufacturing capacity for more than 300,000 Maia 300 chips for delivery in 2027, with an ultimate goal of capacity for over a million chips. The Maia 300 follows the second-generation Maia 200, which began rolling out earlier this year and is built by TSMC on 3-nanometer technology with a heavy dose of fast SRAM memory. Microsoft is also courting major cloud customers, including Anthropic, to adopt the chip, though Anthropic already has deals for a million Amazon Trainium chips and Google TPUs combined. Microsoft declined to share specific production numbers, and capacity negotiations with TSMC are ongoing.

IREN Ltd. has received Microsoft Corp.'s official approval for Horizon 1, the first of four data centers being developed under a five-year, $9.7 billion deal, allowing IREN to begin billing Microsoft monthly. The site also operated Nvidia Corp. computers with GB300, earning Exemplar Cloud status and providing another vote of confidence in performance and reliability. IREN has assembled a $3.65 billion loan package tied to the Microsoft contract to fund much of the GPU spending, and holds a separate five-year $3.4 billion cloud deal with Nvidia. While IREN's AI business remains small compared to Bitcoin mining, the approval marks a shift from announced acquisitions to operational infrastructure and revenue.

Billionaire investor Chamath Palihapitiya said on August 20 that for the Global 2000, earnings growth has literally zero to do with AI, just six days before Nvidia reports fiscal third-quarter results on August 26. His skepticism contrasts with Microsoft's latest numbers, which show its AI business reached a $37 billion annual run rate, up 123%, and commercial remaining performance obligations hit $678 billion, up 84%. Microsoft's full-year capital expenditures doubled to $115.95 billion while free cash flow fell 23% to $19.64 billion, leaving the market to judge whether AI spending translates into durable earnings. Nvidia's upcoming report will test Palihapitiya's claim against Microsoft's contracted backlog.

Wolfe Research projects Nebius Group's annual recurring revenue will grow nearly tenfold by 2030, rising from $4 billion to $41 billion through its 5 gigawatt contracted power pipeline. Microsoft and Meta signed deals potentially worth $17 billion and $27 billion respectively, with customer prepayments covering between 50 and 60 percent of Nebius's buildout costs. Nebius posted a 50% Q2 AI cloud EBITDA margin, but sustaining those returns while deploying more than 1 gigawatt annually from 2027 is the pivotal test.

Goldman Sachs estimates roughly $7.6 trillion in cumulative AI capital spending from 2026 through 2031, while OpenAI and Anthropic were generating combined annualized revenue of more than $105 billion by August 2026, leaving a massive gap that could pressure hardware suppliers. Nvidia Corporation carries the greatest exposure because its 74.9% quarterly gross margin depends on customers competing for scarce, high-end GPUs, and the stock traded at 25.64 times forward earnings as of August 17. Microsoft's AI operations exceeded a $37 billion annual run rate in the March quarter, up 123% from a year earlier, and Microsoft 365 Copilot passed 30 million paid seats by June, positioning the company to convert cheaper inference into recurring revenue. The most likely outcome is a staged infrastructure digestion phase that shifts value from hardware scarcity toward software monetization, with Nvidia facing slower growth and Microsoft capturing more upside.

Artificial intelligence investment accelerated across pharmaceuticals, automotive, and financial services in the second quarter of 2026 as companies shifted from experimentation to strategic deployment, according to BCC Research. The global market for AI in pharmaceuticals was valued at $3 billion in 2024 and is projected to reach $15.2 billion by 2030 at a CAGR of 31.7%, while the automotive AI market is expected to grow from $5.2 billion in 2024 to $21 billion by 2030 at a CAGR of 27.5%. Google, Microsoft, and Amazon corporate venture arms collectively deployed more than $50 billion across AI rounds in 2025, and Meta invested over $14 billion in AI infrastructure and tool innovation in June 2025 alone. Financial institutions are also increasing AI budgets, with Bank of America earmarking nearly $4 billion in 2025 for AI and emerging tech and ICBC establishing an $11 billion technology innovation fund focused on AI infrastructure and semiconductors.

S&P Global announced an expanded collaboration with Microsoft that embeds its AI-ready data and analytics directly into Microsoft 365 Copilot tools and related agentic experiences. The announcement comes as S&P Global shares trade at $432.16, down 15.7% year to date and 16.6% over one year, despite a 3.5% gain over the past 90 days. The most followed narrative on S&P Global currently points to a fair value of $380, which sits below the latest close, reflecting concern about how durable the business model is as AI tools spread through finance and data heavy workflows. At a P/E of 25.9x, the stock trades in line with peers and materially below the US Capital Markets average of 38.5x.