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Microsoft Corporation is an American multinational technology company that produces computer software, consumer electronics, personal computers, and associated services.
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Jensen Huang's First X Post: Over 20 Institutions Including NVIDIA Sign Joint Letter Supporting Open-Weight AI Models
NVIDIA CEO Jensen Huang has published his first post on X, sharing an open letter titled "Open Weight and American AI Leadership," jointly signed by more than 20 technology companies and institutions, including NVIDIA.The open letter argues that open-weight models can expand economic access to AI, enhance market competition, and grant users more control. Signatories include Meta, Microsoft, Andreessen Horowitz, Hugging Face, IBM, Mistral AI, Palantir, Perplexity, Mozilla, Y Combinator, among others.The letter states that while open-weight models carry risks, they should not be restricted through bans. Instead, openness should be leveraged to advance AI safety and cybersecurity capabilities. Huang noted: "The world needs cutting-edge closed-source models, and it also needs cutting-edge open models."
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The U.S. Pentagon has signed a nearly $7 billion software agreement with Oracle, with a term of up to 10 years
the U.S. Pentagon has announced the signing of an enterprise software agreement with Oracle valued at nearly $7 billion, with a maximum term of 10 years. This agreement consolidates the Department of Defense's existing on-premise software licenses under a unified contract to reduce costs associated with fragmented procurement. Negotiated by the Department of the Navy, the agreement has a five-year base period and includes a five-year renewal option, covering the U.S. Department of Defense, the Coast Guard, and intelligence agencies. Previously, in May of this year, the Pentagon signed a similar software consolidation agreement with Microsoft valued at $96.9 billion over five years. (Reuters)
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Morgan Stanley: Semiconductor Pullback Not Yet Ended, Capital Flowing to Consumer and Transportation
According to TechFlow Research, Morgan Stanley released a weekly US stock strategy report on July 20. The report pointed out that the trend of market breadth expansion continues, and the momentum trading risks in the semiconductor sector have not yet been fully released. The silver stock price analogy model shows that semiconductors may have about 15% downside potential in the short term, and earnings revision breadth has retreated from historical extremes. Over the past two months, the consumer durables and transportation sectors outperformed the S&P 500 by approximately 12 percentage points respectively, and the equal-weight index continues to outperform the market-cap weighted index. In terms of allocation, Morgan Stanley continues to recommend overweighting cloud providers (Microsoft, Google, Meta, Amazon) and underweighting semiconductors within the technology sector. The equal-weighted P/E ratio of the four major giants has fallen back to 21 times. Consumer durables and transportation are the clearest directions for capital inflows, with the earnings revision breadth of the transportation sector reaching the strongest level since 2021. Market style is gradually shifting towards quality factors, with earnings revision breadth for high gross margin and high sales stability factors continuing to strengthen. The S&P 500 year-end target is 8,000 points, with 7,000 points being a key technical support level.
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AI Developer ORO Hacked by North Korean Hackers, Approximately $630,000 in Crypto Assets Stolen
According to Protos, AI shopping agent developer ORO stated that an employee was tricked by an attacker disguised as a meeting contact into installing a Microsoft Teams extension containing malicious code, ultimately resulting in the theft of approximately $630,000 worth of crypto assets. ORO stated that the attackers likely originated from the North Korea-backed hacker group Sapphire Sleet.
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Arcus Launches Over 95 Stock Tokens and Perpetual Markets on Robinhood Chain
: Arcus, a decentralized exchange supported by Robinhood, launched tokenized stocks and perpetual futures on the Robinhood Chain on Tuesday. Arcus is built by the team behind the decentralized exchange dYdX and is supported by Robinhood Crypto. Arcus previously launched its spot market on July 1st when the Robinhood Chain went live. The platform offers over 95 stock tokens, perpetual markets, and crypto assets via self-custodial trading accounts, using USDG, a stablecoin issued by Paxos, as the primary collateral and settlement asset. The tokens launched on Arcus include stock tokens for major US companies such as Nvidia, Tesla, Apple, Microsoft, Meta, Google, and Amazon, as well as perpetual markets linked to stocks, ETFs, commodities, indices, and crypto assets. Arcus stated that its stock tokens are not available in the United States, Canada, the United Kingdom, and other restricted jurisdictions. The platform utilizes a self-custody model, allowing users to retain control of their assets and connect self-custodial wallets such as MetaMask, Ledger, and WalletConnect.
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Microsoft Expands AI Partnership with Mistral, Signs Multi-Billion Dollar European AI Infrastructure Agreement
Odaily, July 21 - Microsoft and French AI startup Mistral AI announced an expansion of their strategic partnership on July 21, signing a multi-billion dollar agreement centered on European AI infrastructure to enhance AI computing capabilities in the region. Under the agreement, Microsoft will leverage Mistral's expanded European GPU infrastructure to support its cloud computing and AI services. This infrastructure will be based on thousands of Nvidia Vera Rubin GPUs.In terms of products, the Mistral Medium 3.5 and OCR 4 models are now available on the Microsoft Foundry platform, and Mistral Medium 3.5 has also been integrated into Microsoft Copilot Studio for agent applications, document processing workflows, and industry-customized workflows. Additionally, the two parties will expand AI deployment options through Azure and Azure Local, supporting cloud, cloud-connected, and fully offline environments, targeting industries with high data compliance requirements such as finance, healthcare, and manufacturing.
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IREN Signs $2.8 Billion AI Cloud Contract, Year-End AI Cloud Annualized Revenue Target Raised to Over $4 Billion
: Bitcoin mining company IREN has signed a new multi-year cloud services contract worth $2.8 billion with AI developers, raising its year-end AI cloud annualized revenue target to over $4 billion. The company stated that approximately 85% of the revised target has already been contracted, with clients including Microsoft, Nvidia, Perplexity, and Figure AI. IREN co-CEO Daniel Roberts said the company plans to deliver 480 megawatts of AI cloud capacity by 2026, compared to about 3 megawatts a year ago, and aims to reach 1.2 gigawatts by 2027. The company noted that demand from hyperscalers, enterprises, and AI developers continues to outpace its existing and planned capacity. IREN's stock price rose approximately 15.7% on Monday. The CoinShares Bitcoin Mining ETF (WGMI) increased by 9.61%, with IREN being the fourth largest holding in the sector-tracking ETF, accounting for 10.05% of assets. Recent client agreements also include prepayments covering approximately 45% of related GPU capital expenditures.
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Former Microsoft AI Team Founds Skyfall AI, Bets $1 Million on ‘AI CEO’ Experiment to Run a Real Business
Skyfall AI, an artificial intelligence startup founded by former Microsoft AI team members, has announced it will spend up to $1 million to acquire a small B2B SaaS or e-commerce company, attempting to let an AI system fully take over operations to test whether an 'AI CEO' can manage a real commercial organization.Skyfall AI co-founder Sam Pasupalak and CTO Kaheer Suleman believe the current AI industry is largely focused on creating 'autonomous employees'—gradually replacing individual tasks—but this does not represent true enterprise autonomy. They aim to test whether AI can cover the full range of decisions, including pricing, marketing, customer support, finance, and operations, by running a real business.The project's goal is to have the AI serve as the core manager of the enterprise, driving revenue growth with reduced human intervention, while publicly documenting the successes and failures encountered during the experiment.Skyfall’s founders stated that while existing large language models (LLMs) perform well with known knowledge and in fixed environments, they still fall short in continuous learning when faced with competitive changes, shifts in customer behavior, and market dynamics. Therefore, the company is exploring a new AI architecture called 'Enterprise World Models,' aiming to enable AI to understand the operational state of a business and predict the impact of decisions on future development.Skyfall AI was founded by members of the Maluuba team. Maluuba was acquired by Microsoft for approximately $160 million in 2017, and its technology later became part of Microsoft's AI research presence in Canada. (Forbes)
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Hut 8 and IREN Announce New Billion-Level AI Infrastructure Contract, Both Stock Prices Surge Over 16%
According to The Block, Bitcoin mining companies Hut 8 (HUT) and IREN sequentially announced major AI infrastructure deals, with share prices both rising over 16% on the day. Hut 8 signed a second 15-year, $9.8 billion lease at the Beacon Point campus in Nueces County, Texas, fully commercializing the 1GW site. This contract doubles the signed capacity for existing tenants to 704MW, raising the total value of campus contracts to $19.6 billion. Adding River Bend's 245MW, Hut 8's total signed IT capacity for its AI data center portfolio reaches 949MW, with a total contract base term value of $26.6 billion and expected average annual net operating income exceeding $1.75 billion. If three renewal options are exercised, Beacon Point's potential contract value could reach up to $50.2 billion. After signing a new $2.8 billion multi-year cloud computing contract, IREN raised its end-of-2026 AI cloud annualized revenue target from $3.7 billion to over $4 billion, with currently about 85% of the target secured within contracts. Clients include top institutions such as Microsoft, NVIDIA, Perplexity, and Figure AI, with customer prepayments in the new contract covering approximately 45% of the related GPU capital expenditures. As of June 30, IREN held approximately $7.6 billion
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AMD and Microsoft Expand Partnership, Azure Introduces AMD Helios Rack-Scale AI Infrastructure
According to AMD's official blog, AMD and Microsoft announced an expanded collaboration to jointly provide AI infrastructure for production-scale deployments on Azure. Microsoft will adopt the AMD Helios rack-scale AI infrastructure powered by AMD Instinct™ MI455X accelerators as a significant part of its continued investment in Azure AI infrastructure. AMD Helios is AMD's integrated platform for rack-scale AI infrastructure, integrating AMD Instinct™ MI455X accelerators, next-generation AMD EPYC™ processors, AMD Pensando™ networking technology, and the ROCm™ software ecosystem, supporting large-scale AI training, inference, fine-tuning, and Agentic AI workloads. Additionally, Microsoft will launch new Azure infrastructure products based on 6th Gen AMD EPYC processors, covering high-demand scenarios such as AI data systems and semiconductor design. Both parties stated that this collaboration aims to provide customers with more infrastructure options and drive AI from the experimental phase to scaled production deployment.
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AMD Launches AI Rack System Helios, with Microsoft, Meta and Other Giants Joining the Deployment Camp
AMD has officially launched its first rack-scale AI system for artificial intelligence, Helios. This is seen as AMD's key product to rival Nvidia's Grace Blackwell and Vera Rubin AI systems. It has been adopted by enterprise customers including Microsoft, Meta, OpenAI, and Oracle, as AMD seeks to mount a more direct challenge to Nvidia in the AI infrastructure market.Microsoft announced it will deploy the AMD Helios system in its Azure data centers, becoming the latest customer to adopt the platform. AMD stated that Helios is expected to begin shipping to customers later this year and will be used to support frontier AI model inference, Azure AI services, and enterprise-level AI applications. Data from market research firm Futurum Group shows that Nvidia currently holds over 95% of the data center GPU market share, while AMD holds approximately 4.5%. Analysts believe that if Helios deployment goes smoothly, AMD has the potential to capture 20%-25% of the market share in the future, corresponding to a potential market space worth hundreds of billions of dollars. (CNBC)
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A fool opened a $9.97 million long position on Bitcoin
according to Onchain Lens monitoring, a fool who had previously lost a cumulative total of $2.19 million has just opened a $9.97 million long position on Bitcoin. This account currently holds a total of $137 million in open positions across 13 markets, with its largest holdings including $39.71 million in Nvidia, $17.65 million in Microsoft, $15.08 million in Google, $14.92 million in Ethereum, and $9.97 million in Bitcoin's native asset.
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DTCC will tokenize Microsoft, SPY, QQQ, and U.S. Treasuries for Wall Street firms
DTCC will tokenize Microsoft shares, SPY, QQQ, and U.S. Treasuries for Wall Street companies, with institutions including BlackRock, Goldman Sachs, and JPMorgan participating. These firms plan to use tokenized assets for collateral transfers, repurchase transactions, and stock trading. (The Wall Street Journal)
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Morgan Stanley: NTT Ranks Third Yet Orders Fully Booked for 7.7 Years, Vertical Integration Crushes Tech Giants
According to TechFlow Research, an investor presentation released by Morgan Stanley on July 14, 2026, regarding NTT Global Data Centers shows that the global third-largest data center operator NTT surpassed the top two ranked Amazon and Microsoft through vertical integration. The order backlog reached $20 billion (equivalent to 7.7 years of revenue), with the order book absurdly full, reflecting that AI workload demand far exceeds supply. Gross margin is expected to rise from 39% in FY26 to 55% in FY31, indicating that AI customers are willing to pay a premium for high-quality capacity. NTT possesses 250 MW of liquid cooling technology globally and a complete fiber optic network, which is a vertical integration advantage that pure data center operators cannot replicate. Hyperscale customers would rather wait in line for NTT's AI-native infrastructure than turn to competitors. Among the global $6.7 trillion in data center investments, only one type truly makes money: AI-native, and NTT is monopolizing this sector.
Morgan Stanley: CPO Not That Fast, Copper Cables Can Last Two More Years
According to TechFlow Research, Morgan Stanley's July 13 report indicates that large-scale adoption of CPO in Scale-Up networks is expected in 2029 and beyond, with only small-scale introduction in 2028. Recent market concerns about CPO "delays" are excessive; the core reason is that CPO involves rebuilding the supply chain for packaging, optical engines, and lasers, and NVIDIA's Feynman generation is the timing anchor for CPO rollout. Copper cables can last another two years thanks to innovations such as PAM4 modulation, DSP, and retimers. The evolution of AI cluster scale from 72 GPUs to 576 or even 1152 is the core driver. 2026 marks the starting point of the non-NVIDIA Scale-Up ecosystem, with AMD MI400, Amazon Trainium 3, and Microsoft Maia starting mass production; Astera Labs and Broadcom become the initial major beneficiaries. Morgan Stanley maintains overweight ratings on NVIDIA, Broadcom, Astera Labs, and Keysight.
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Google fires shots in the AI chip "ground war": Recruiting new cloud providers to reduce reliance on NVIDIA
Google is mounting a competitive offensive against NVIDIA in the AI chip market, attempting to expand the commercial application of its self-developed Tensor Processing Units (TPUs) to challenge NVIDIA's long-standing dominance in the AI computing market.Google is currently both a significant customer of NVIDIA's AI server chips and is also developing its own AI chip business to compete with and potentially replace NVIDIA's GPUs. Previously, almost all Google TPUs were deployed in its own data centers, with usage available to customers only through Google Cloud rental services.However, starting this year, Google has changed its strategy, planning to sell TPU chips to emerging cloud service providers (Neoclouds). These new cloud service companies primarily focus on providing AI computing resources and represent a key customer segment driving the demand growth for NVIDIA GPUs.Analysts believe that this move by Google signifies TPU's transition from internal specialized infrastructure to a broader commercial chip platform. By enticing Neoclouds to adopt TPUs, Google aims to reduce AI companies' reliance on the NVIDIA GPU ecosystem and expand its own influence in the AI infrastructure field.NVIDIA currently dominates the AI chip market with its CUDA software ecosystem, high-performance GPUs, and vast developer network. As major tech companies like Google, Amazon, and Microsoft continue to advance their self-developed AI chips, competition in the AI computing market is shifting from a single GPU supply model to a diversified chip ecosystem battle. (The Information)
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Morgan Stanley: AI Capex to Reach $1.4 Trillion in 2028
According to TechFlow Research, Morgan Stanley's July 10 report projects that in 2028, the combined capital expenditure of the five major hyperscalers—Microsoft, Google, Amazon, Meta, and SpaceX—will reach $1.4 trillion, a more than threefold increase from 2025 levels; available compute capacity will expand from 30GW to 120GW. Meta is listed as the top pick, with 2027/2028 Capex raised to $225 billion/$250 billion. Morgan Stanley particularly emphasizes Meta's API business opportunities: Muse Spark 1.1 pricing is 30%-86% lower than peers, and every 100MW of compute capacity can generate approximately $8 billion in revenue and approximately $1.9 per share in EPS increment. The deciding factor in the compute race is shifting from "how much to build" to "how much to sell," as Meta simultaneously holds five monetization paths. Morgan Stanley maintains an Overweight rating on Meta, Amazon, and Google.
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JPMorgan: Software Profits Are Shifting from Model Layer to Infrastructure
According to TechFlow Research, a July 13 report from JPMorgan pointed out that Starbucks building its own AI tools to replace Microsoft and IBM software, Microsoft using its self-developed MAI to replace OpenAI and Anthropic models, and Meta developing cloud business to sell AI compute collectively illustrate a trend: the software profit pool is shifting downstream from the model layer. DigitalOcean's Q2 remaining performance obligations exceeded $800 million, a 10-fold year-over-year increase, with AI inference already accounting for a significant portion; over half of Cloudflare's requests originate from AI agents, and it launched a crawler paywall to open new revenue sources. Morgan Stanley believes model providers face pressure of being replaced, infrastructure layer demand remains strong but the structure is changing, enterprise customers' bargaining power is rising, and investment logic needs to shift from "model as winner" to "infrastructure and intermediary layers".
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Gate Pre-IPOs Second Phase Launches OpenAI (OPENAI), Supporting Dual Token Participation with USDT and GUSD
: Digital asset trading platform Gate has announced that it will open subscriptions for the second phase of its Pre-IPOs project, OpenAI (OPENAI), from July 15, 2026, 15:00 to July 17, 2026, 15:00 (UTC+8), supporting participation with both USDT and GUSD. The total subscription value for the project is approximately $20 million, with 27,700 OPENAI asset certificates issued at a price of 1 OPENAI = $722. The minimum investment is 100 USDT or 100 GUSD, with implicit handling fees and custody costs waived. OpenAI, driven by products like ChatGPT, is advancing generative AI development and has received investments from Microsoft and others, with an implied market valuation of approximately $895 billion.The OPENAI asset certificate is a pre-IPO mirror note for OpenAI, designed to reflect the company's value before and after its public listing. Gate will hedge its exposure by acquiring the corresponding stocks and will offer pathways including pre-market trading, long-term holding, and future conversion into underlying stock assets, stock tokens, or USDT. Allocations are calculated based on the "average hourly locked amount"; the earlier the participation and the longer the lock-up period, the higher the weight. The certificates will be unlocked in three phases on July 17, August 17, and September 17, with pre-market trading opening on July 20. Concurrently, Gate is launching VIP/Super Agent airdrops, GT rewards, and a 3.8% annualized GUSD minting yield. Furthermore, Gate has already introduced Pre-IPOs, IPO Access, Gate Stocks, and gStocks, covering US, Hong Kong, and Korean stocks, encompassing over 12,500 stocks and ETFs, and will continuously expand its global asset ecosystem, including ETFs and RWAs. Gate will continue to bridge traditional finance with on-chain assets, providing global users with a more open, efficient, and one-stop investment service.
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Serenity: OpenAI’s Strategy to Build an Independent Ecosystem Has Made the Magnificent Seven Uneasy
Serenity, known as the “White-Haired Stock Guru,” stated on X that if Sam Altman and OpenAI are angering the “Magnificent Seven” (Mag7), including Apple, it precisely proves they are doing the right thing. Currently, OpenAI has chosen to build its own ecosystem rather than being absorbed into the systems of other tech giants. This strategic direction is worth noting. Since the rise of tech giants like Google, Apple, and Microsoft, the market has not seen a true disruptor in a long time, and OpenAI is emerging to fill that role.
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