Meta is an American multinational technology conglomerate. It owns Facebook, Instagram, and WhatsApp, among other products and services.
Meta announced a new strategic project to develop the El Paso data center in partnership with BlackRock. The El Paso data center represents an investment of over $10 billion by Meta. Funds managed by BlackRock will hold an 80% stake in the project, while Meta will retain the remaining 20% equity. The parties committed to proportionally sharing approximately $14 billion in construction and development costs for long-life power, cooling, and connectivity infrastructure within the campus.
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Semiconductor research firm SemiAnalysis points out that the warrant transactions between AMD and OpenAI and Meta are essentially rebates on computing resource prices, rather than simple equity incentives. According to their calculations, the discount for OpenAI in this transaction is as high as 105%, equivalent to AMD providing computing power to OpenAI at below-cost prices and compensating the price difference through warrants. This structure indicates that AMD is adopting an aggressive pricing strategy to compete with NVIDIA in order to seize AI training market share.
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Meta announces the launch of the free "Facebook Verified" service, allowing users to obtain a checkmark badge after verifying their identity by recording a video selfie. This feature is available to personal accounts aged 18 and above that comply with Community Standards and have no fraudulent behavior, aiming to ensure that the account belongs to a real user rather than an AI-generated fake account. The badge will be rolled out in phases, with plans to expand to global markets in the future. Previously, Meta has provided blue badge verification through paid subscriptions; the launch of this free badge marks a significant adjustment in its identity verification strategy.
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Meta originally planned to charge a monthly subscription fee of $20 for the "Conversation Focus" accessibility feature on its smart glasses and limit usage to 15 hours per month. Users found through testing that the feature works without an internet connection, sparking strong backlash. Meta spokesperson Tyler Yee confirmed that the charging plan has been paused; before a better alternative is found, the feature will be provided for free through the early access program. "Conversation Focus" is an accessibility assistance feature for Meta smart glasses; the previously planned subscription model triggered user concerns about double charging for built-in hardware features.
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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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CryptoRank 发布代币化股票流动性、市场结构与执行质量研究报告。数据显示,当前代币化股票市场链上总值已接近 20 亿美元,链上持有者超过 47.1 万人。报告选取英伟达、微软、Meta 和特斯拉四只在各测试平台均具备有效双向订单簿的资产进行横向对比。
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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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According to TechFlow Research, JPMorgan's US stock strategy report on July 20 estimates that global AI-related capital expenditure will approach $870 billion in 2026, up 77% year-on-year, with hyperscalers contributing about $750 billion. In 2027, growth rates remain high: Google +54% (approx. $300 billion), Amazon +42% (approx. $300 billion), Meta +42% (approx. $200 billion). Bond financing by the five major tech giants rose from $40 to 50 billion in 2022 to about $190 billion in 2026, and Google completed $85 billion in equity financing in June.
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: 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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According to people familiar with the matter cited by The Wall Street Journal, BlackRock is leading a debt financing deal of at least $12 billion to fund a large-scale data center project in El Paso, Texas, jointly supported by BlackRock and Meta Platforms.
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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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According to Bloomberg, UK startup CuspAI, founded just two years ago, has raised nearly $500 million, with its core bet being the use of artificial intelligence to improve semiconductor production processes. On Monday, CuspAI announced the establishment of the "AI Materials Foundry," an alliance that brings together more than 48 tech companies, industrial companies, and research institutions, with members including NVIDIA, Meta, and Hyundai Motor Group.
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The PPP Prediction Market Tool monitors that on Polymarket, for the event "Will the US government ban open-source AI models in 2026?", the "Yes" probability is currently at 16%.According to the resolution rules, if the US federal government, before December 31, 2026, through legislation, executive orders, export controls, or other formal policy actions, restricts the US public's access or use of a specific open-source AI model, the market outcome will be resolved as "Yes." Otherwise, the market outcome will be resolved as "No." Eligible open-source AI models refer to general-purpose large language models or multimodal foundation models whose model weights and source code are publicly downloadable and can be run on hardware under user control, such as Meta Llama, Mistral, DeepSeek, Qwen, etc.Recently, the open-source Kimi K3 model launched by Moonshot AI has drawn market attention to whether it will impact closed-source AI. OpenAI's Director of Strategy, Dean W. Ball, stated on X platform that the US government might adopt soft legal measures to prevent open-source models from entering the US. David Sacks, Chairman of the President's Council of Advisors on Science and Technology, believes that using regulatory uncertainty to suppress open-source competition is "unacceptable."Join the PPP Signal Push Community to stay ahead and seize the opportunity.
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SemiAnalysis posted on X platform, stating that a YAML configuration file made public on GitHub by a senior AI executive at AMD shows that Anthropic is listed as an AMD "customer," currently possibly in the product evaluation or testing phase. The document reveals that Anthropic has been granted the highest priority of 30 points, placing it on the same level as existing hyperscale customers like Meta. It is important to note that Anthropic is still in the evaluation stage.
Odaily "White Hair Stock God" Serenity posted on platform X, stating that due to the recent market downturn, his investment portfolio experienced a maximum drawdown of 49.4% this month. However, he still maintains his view on the long-term trend of the AI industry chain.Serenity revealed that his investment portfolio is mainly concentrated in key segments of the AI industry chain, including: semiconductor upstream, memory chips, photonics, humanoid robotics, and AI infrastructure-related companies. Because these areas typically have higher beta attributes, he previously used leveraged investments but has reduced the leverage level after the current round of market decline.Facing market skepticism towards AI-related assets, Serenity stated that recently a large number of investors have begun to believe: "AI is a bubble," "memory chips and the Korean KOSPI market are a bubble," "photonics is a bubble,""humanoid robots will not succeed," and "Neocloud (new AI cloud service providers) will eventually be replaced by hyperscale cloud vendors like Meta." Meanwhile, some retail investors and trading bots have even started advocating for "liquidating everything, the market will not recover."Serenity said he still believes these investment themes are supported by structural revenue growth and technological change. He experienced similar drawdowns in the past when global tariff risks impacted the market, and the market eventually rebounded. His investment horizon is long-term, allowing him to withstand higher volatility, and he will not change his long-term judgment based on short-term price fluctuations. Sharing this drawdown data is also to maintain transparency, allowing the market to see the real risks behind high-volatility growth investments.Serenity added: "If my prediction is that the revenue inflection point will come in the second half of 2027, and it is only 2026 now, then a decline of just a few weeks or months doesn't prove that the investment thesis has failed."
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: Circle has entered into a strategic alliance with Argentine financial services group BIND Group to provide USDC liquidity access to Argentine enterprises through BEN, a licensed virtual asset service provider under BIND. BIND Group has total assets exceeding $2 billion, and its core banking entity, BIND Banco Industrial, provides services to institutions and enterprises. BEN will operate in compliance with Argentine regulatory requirements, supporting use cases such as payments, treasury management, and digital asset transfers. BIND Vice President Andrés Meta stated that expanding institutional access to USDC is an important step for the Argentine digital asset ecosystem. Circle CEO Jeremy Allaire noted that Argentina has become a more attractive destination for foreign investment. Argentina is one of the few markets in Latin America where USDC adoption levels are close to those of USDT. Tether-backed Oobit disclosed that transaction volumes completed by Argentine users using USDC account for 46% of the country’s total stablecoin transaction volume.
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META announced it will invest an additional $40 billion in the Louisiana data center, expanding the data center's computing capacity to 5GW.
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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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According to monitoring by the BlockFlow KOL Opinion Aggregation Platform, Meta Platforms (META) is currently priced at $669.21. Multiple KOLs are unanimously bullish, believing that given its massive user base across multiple platforms and AI infrastructure build-out, the $1.7 trillion valuation is cheap.
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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".
Shezhea NET
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