{
  "title": "AI Daily 2026-05-28 | Anthropic Overtakes OpenAI, SpaceX Exposes Orbital AI Empire, Huang Renxun Locks Rubin Capacity in Taiwan",
  "url": "https://miaok.ong/en/ai-daily/ai-daily-2026-05-28/",
  "date": "2026-05-28T07:30:00+08:00",
  "lastmod": "2026-05-28T07:30:00+08:00",
  "type": "ai-daily",
  "kind": "page",
  "language": "en",
  "description": "\u003cblockquote\u003e\n\u003cp\u003eThree things are happening simultaneously: Anthropic\u0026rsquo;s enterprise adoption rate surpassed OpenAI for the first time (34.4% vs 32.3%), and Claude Code\u0026rsquo;s market share reached 54%; SpaceX disclosed IPO documents, where the core narrative of its $1.75T valuation shifted toward orbital AI data centers; Jensen Huang arrived in Taiwan to lock in Vera Rubin mass production commitments with TSMC, as NVIDIA\u0026rsquo;s annual spending in Taiwan surged from $150 billion to $1500 billion. The common signal: Control of AI is shifting from the model layer to the physical layer—whoever controls the computing power infrastructure holds the ticket to the second half of the game.\u003c/p\u003e",
  "keywords": null,
  "tags": ["AI","Anthropic","OpenAI","SpaceX","NVIDIA","TSMC"],
  "categories": ["ai-daily"],
  "author": "Mark (Miao) Kong",
  "image": "https://miaok.ong/images/avatar.jpg",
  "content": "\u003cblockquote\u003e\n\u003cp\u003eThree things are happening simultaneously: Anthropic\u0026rsquo;s enterprise adoption rate surpassed OpenAI for the first time (34.4% vs 32.3%), and Claude Code\u0026rsquo;s market share reached 54%; SpaceX disclosed IPO documents, where the core narrative of its $1.75T valuation shifted toward orbital AI data centers; Jensen Huang arrived in Taiwan to lock in Vera Rubin mass production commitments with TSMC, as NVIDIA\u0026rsquo;s annual spending in Taiwan surged from $150 billion to $1500 billion. The common signal: Control of AI is shifting from the model layer to the physical layer—whoever controls the computing power infrastructure holds the ticket to the second half of the game.\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003ch2 id=\"-this-issues-watch-list-in-depth-guide\"\u003e\n  📖 This Issue\u0026rsquo;s Watch List In-depth Guide\n  \u003ca class=\"heading-link\" href=\"#-this-issues-watch-list-in-depth-guide\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003ch3 id=\"1--the-official-handover-of-enterprise-ai-power--anthropic-fully-surpasses-openai\"\u003e\n  1. 🔥 The Official Handover of Enterprise AI Power — Anthropic Fully Surpasses OpenAI\n  \u003ca class=\"heading-link\" href=\"#1--the-official-handover-of-enterprise-ai-power--anthropic-fully-surpasses-openai\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eIn May 2026, two independent sets of data simultaneously confirmed a historic moment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRamp AI Index (based on real payment data from 50,000 enterprises)\u003c/strong\u003e: Anthropic\u0026rsquo;s enterprise adoption rate reached \u003cstrong\u003e34.4%\u003c/strong\u003e (+3.8% MoM), surpassing OpenAI\u0026rsquo;s \u003cstrong\u003e32.3%\u003c/strong\u003e (-2.9% MoM) for the first time. 12 months ago, Anthropic was under 8%, representing a fourfold increase; OpenAI grew by only 0.3% over the same period. Ara Kharazian, Chief Economist at Ramp, stated: \u0026ldquo;This is a stunning reversal in the competitive landscape of AI model providers.\u0026rdquo;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOn the same day, Anthropic\u0026rsquo;s CFO disclosed\u003c/strong\u003e: The annualized revenue run rate broke through \u003cstrong\u003e$30 billion\u003c/strong\u003e, surpassing OpenAI\u0026rsquo;s $24 billion. It took only 4 months to jump from $9 billion to $30 billion. More than \u003cstrong\u003e1,000 enterprises are paying $1 million+ annually\u003c/strong\u003e, doubling since February. Dario Amodei said at the Code with Claude conference: \u0026ldquo;We originally planned for 10x growth; we actually hit 80x.\u0026rdquo;\u003c/p\u003e\n\u003cp\u003eThe growth engine is crystal clear — Claude Code. Menlo Ventures data shows it holds a \u003cstrong\u003e54% market share\u003c/strong\u003e in AI programming tools; a JetBrains April survey showed \u003cstrong\u003e46%\u003c/strong\u003e of developers listed it as their \u0026ldquo;favorite tool\u0026rdquo; (Cursor 19%, Copilot 9%). Developers use it for an average of 20 hours per week. The growth model is bottom-up individual paid penetration — exactly like Dropbox and Slack.\u003c/p\u003e\n\u003cp\u003eMeanwhile, OpenAI announced the formation of \u003cstrong\u003eThe OpenAI Deployment Company (DeployCo)\u003c/strong\u003e — led by TPG with 19 PE firms participating, starting with $4 billion in capital, and OpenAI itself committing $1.5 billion. Combined with independent partnerships with Accenture and Cognizant, they are taking the \u0026ldquo;capital + system integrator\u0026rdquo; route. The contrast between these two paths answers the same question: \u003cstrong\u003eAI is no longer a game of who has the best model — it\u0026rsquo;s about who can make customers unable to live without them.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e(Ramp, Axios, VentureBeat, CNBC, Menlo Ventures, The Pragmatic Engineer)\u003c/p\u003e\n\u003ch3 id=\"2--spacex-s-1-exposed-the-ai-orbital-compute-bet-behind-the-175t-valuation\"\u003e\n  2. 🚀 SpaceX S-1 Exposed: The AI Orbital Compute Bet Behind the $1.75T Valuation\n  \u003ca class=\"heading-link\" href=\"#2--spacex-s-1-exposed-the-ai-orbital-compute-bet-behind-the-175t-valuation\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eSpaceX has released its public IPO filings. Core numbers:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003eValuation target \u003cstrong\u003e$1.75 trillion\u003c/strong\u003e (surpassing Meta, approaching Amazon)\u003c/li\u003e\n\u003cli\u003e2025 revenue $18.7 billion, operating loss $2.6 billion\u003c/li\u003e\n\u003cli\u003eMusk holds the triple roles of CEO, CTO, and Chairman, with personal holdings of approximately $800 billion\u003c/li\u003e\n\u003cli\u003eAnthropic pays SpaceX Colossus 1 \u003cstrong\u003e$1.25 billion\u003c/strong\u003e per month in compute fees, with a contract running until May 2029 (totaling over $40 billion)\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eWhat excites the market most is the shift in the IPO\u0026rsquo;s core narrative: from the Starlink communication network to \u003cstrong\u003eorbital AI data centers\u003c/strong\u003e. The S-1 proposes deploying \u003cstrong\u003e100GW of compute power\u003c/strong\u003e to Sun-synchronous orbit annually, starting in 2028, with long-term goals including TW-level orbital compute and a lunar AI energy hub. The S-1 estimates the Total Addressable Market (TAM) for AI orbital computing at \u003cstrong\u003e$28.5 trillion\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003eBen Thompson of Stratechery pointed out: SpaceX\u0026rsquo;s core advantage isn\u0026rsquo;t the rocket, it\u0026rsquo;s the launch cost — which has dropped to less than 1/10 of traditional prices. When the cost per kilogram to orbit is this low, \u0026ldquo;building data centers outside the gravity well, using free solar energy and vacuum cooling\u0026rdquo; moves from science fiction to a capital narrative.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTwo major risks\u003c/strong\u003e: First, Musk\u0026rsquo;s triple role as CEO/CTO/Chairman creates a governance time bomb regarding the conflict of interest between xAI and Anthropic (SpaceX\u0026rsquo;s largest AI customer). Second, maintaining 100GW of orbital infrastructure with \u0026ldquo;thousands of launches\u0026rdquo; per year at Starship frequency requires unprecedented launch reliability.\u003c/p\u003e\n\u003cp\u003e(TechCrunch, Bloomberg, Reuters, Stratechery, SpaceX S-1)\u003c/p\u003e\n\u003ch3 id=\"3--jensen-huang-arrives-in-taiwan-vera-rubin-mass-production-locked-and-the-largest-product-launch-in-taiwans-history\"\u003e\n  3. 🇹🇼 Jensen Huang Arrives in Taiwan: Vera Rubin Mass Production Locked and \u0026ldquo;The Largest Product Launch in Taiwan\u0026rsquo;s History\u0026rdquo;\n  \u003ca class=\"heading-link\" href=\"#3--jensen-huang-arrives-in-taiwan-vera-rubin-mass-production-locked-and-the-largest-product-launch-in-taiwans-history\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eNVIDIA CEO Jensen Huang arrived in Taipei on May 27, beginning a two-week visit ahead of COMPUTEX 2026. Core agenda:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eLocking in Vera Rubin Production Capacity at TSMC\u003c/strong\u003e: Negotiating mass production commitments for the next-generation Rubin platform with TSMC Chairman C.C. Wei. Huang called it \u0026ldquo;probably the largest product launch in the history of Taiwan.\u0026rdquo;\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGroundbreaking for Beishike Headquarters\u003c/strong\u003e: Groundbreaking ceremony on 5/27, attended by Taipei Mayor Chiang Wan-an.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCOMPUTEX Joint Keynote\u003c/strong\u003e: Will take the stage with Marvell CEO Matt Murphy, with the theme \u0026ldquo;The Future of AI Depends on Connectivity\u0026rdquo; — hinting that network architecture will become the next battlefield after GPUs.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eEmployee Town Hall\u003c/strong\u003e: Huang disclosed that NVIDIA\u0026rsquo;s annual spending in Taiwan has surged from $10-15 billion 4-5 years ago to \u003cstrong\u003e$150 billion\u003c/strong\u003e, and personally appealed to Chiang Wan-an for increased power supply.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eAn undercurrent to watch\u003c/strong\u003e: Three days before Huang\u0026rsquo;s arrival, Taiwanese prosecutors launched an investigation into three suspects suspected of using forged documents to illegally export Super Micro AI servers containing NVIDIA chips to mainland China. NVIDIA\u0026rsquo;s market share in the Chinese AI accelerator market has plummeted from 95% to near zero. Huang publicly stated in April that export controls \u0026ldquo;have largely backfired.\u0026rdquo;\u003c/p\u003e\n\u003cp\u003e(TechTimes, Focus Taiwan, NVIDIA Official Blog, Tom\u0026rsquo;s Hardware)\u003c/p\u003e\n\u003ch3 id=\"4--new-milestones-in-enterprise-ai-deployment\"\u003e\n  4. 🏢 New Milestones in Enterprise AI Deployment\n  \u003ca class=\"heading-link\" href=\"#4--new-milestones-in-enterprise-ai-deployment\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eKPMG deploys Claude to 276,000 employees\u003c/strong\u003e — one of the largest single enterprise AI deployments to date, marking the transition of the Big Four accounting firms from the experimental stage to the regulatory infrastructure level.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCanada rules ChatGPT violates PIPEDA privacy law\u003c/strong\u003e — the first national-level privacy ruling by a G7 nation against a general-purpose AI chatbot, which could serve as a global template.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCohere merges with Aleph Alpha\u003c/strong\u003e to create a $6.8 billion \u0026ldquo;Sovereign AI\u0026rdquo; European alternative.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eOpenAI internal model independently proves the 80-year-old unsolved Erdős conjecture\u003c/strong\u003e — a major independent discovery by AI in the field of pure mathematics.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2 id=\"-x-platform-ai-hot-news-briefs\"\u003e\n  🌐 X Platform AI Hot News Briefs\n  \u003ca class=\"heading-link\" href=\"#-x-platform-ai-hot-news-briefs\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003ch3 id=\"topic-1-anthropic-surpasses-openai-sparks-intense-debate-in-developer-community\"\u003e\n  Topic 1: Anthropic Surpasses OpenAI Sparks Intense Debate in Developer Community\n  \u003ca class=\"heading-link\" href=\"#topic-1-anthropic-surpasses-openai-sparks-intense-debate-in-developer-community\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eFollowing the release of Ramp data, the developer community has engaged in a heated discussion over whether \u0026ldquo;Claude Code\u0026rsquo;s 54% market share is sustainable.\u0026rdquo; Supporters believe bottom-up product penetration (individual developer payment → entry into enterprise) is more stable than Top-down enterprise sales; skeptics point out that a 3x increase in API prices and Colossus\u0026rsquo;s monthly $12.5 亿 computing bill are ticking time bombs.\u003c/p\u003e\n\u003ch3 id=\"topic-2-musks-triple-role-sparks-ipo-governance-controversy\"\u003e\n  Topic 2: Musk\u0026rsquo;s Triple Role Sparks IPO Governance Controversy\n  \u003ca class=\"heading-link\" href=\"#topic-2-musks-triple-role-sparks-ipo-governance-controversy\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eSpaceX S-1 confirms Musk will serve as CEO, CTO, and Chairman, with personal holdings of approximately $8000 亿. The overlap of interests between xAI and Anthropic (SpaceX\u0026rsquo;s largest AI customer at $12.5 亿 monthly) has been flagged by multiple analysts as \u0026ldquo;the largest unpriced risk of the IPO.\u0026rdquo; Stratechery commented: \u0026ldquo;The biggest problem with the largest IPO in history isn\u0026rsquo;t the business model—it\u0026rsquo;s the governance.\u0026rdquo;\u003c/p\u003e\n\u003ch3 id=\"topic-3-g7s-first-ai-privacy-rulingcanada-vs-chatgpt\"\u003e\n  Topic 3: G7\u0026rsquo;s First AI Privacy Ruling—Canada vs. ChatGPT\n  \u003ca class=\"heading-link\" href=\"#topic-3-g7s-first-ai-privacy-rulingcanada-vs-chatgpt\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eThe Office of the Privacy Commissioner of Canada ruled that ChatGPT violated PIPEDA, with issues focusing on the processing of personal information in training data and the right to erasure for users. Regulators in Europe and Japan have indicated they will closely monitor the details of the ruling. This could be the most far-reaching regulatory action against the AI industry since the EU AI Act.\u003c/p\u003e\n\u003ch3 id=\"topic-4-erdős-conjecture-solved-by-aia-watershed-moment-for-scientific-reasoning\"\u003e\n  Topic 4: Erdős Conjecture Solved by AI—A Watershed Moment for Scientific Reasoning\n  \u003ca class=\"heading-link\" href=\"#topic-4-erd%c5%91s-conjecture-solved-by-aia-watershed-moment-for-scientific-reasoning\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eAn internal OpenAI model has independently proven a geometric conjecture proposed by Paul Erdős in 1946. This marks the first time AI has made an independent discovery on a pure mathematics problem with a difficulty level above top-tier human mathematics competitions. The arXiv preprint has already sparked intense discussion in the mathematics community—some scholars call it \u0026ldquo;a qualitative leap in AI\u0026rsquo;s scientific reasoning capabilities,\u0026rdquo; while cautious researchers point out that the readability of the proof remains questionable.\u003c/p\u003e\n\u003ch3 id=\"topic-5-kpmg-fully-deploys-claude-for-276-万-employees\"\u003e\n  Topic 5: KPMG Fully Deploys Claude for 27.6 万 Employees\n  \u003ca class=\"heading-link\" href=\"#topic-5-kpmg-fully-deploys-claude-for-276-%e4%b8%87-employees\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h3\u003e\n\u003cp\u003eThis is not only an enterprise customer milestone for Anthropic. As the Big Four accounting firms begin to have all staff use AI tools, AI-assisted work has shifted from \u0026ldquo;efficiency improvement\u0026rdquo; to a \u0026ldquo;compliance requirement\u0026rdquo;—not using AI will no longer be an efficiency disadvantage, but an audit risk.\u003c/p\u003e\n\u003ch2 id=\"-key-data\"\u003e\n  📊 Key Data\n  \u003ca class=\"heading-link\" href=\"#-key-data\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003ctable\u003e\n  \u003cthead\u003e\n      \u003ctr\u003e\n          \u003cth\u003eMetric\u003c/th\u003e\n          \u003cth\u003eData\u003c/th\u003e\n          \u003cth\u003eSource\u003c/th\u003e\n      \u003c/tr\u003e\n  \u003c/thead\u003e\n  \u003ctbody\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eAnthropic Enterprise Adoption Rate\u003c/td\u003e\n          \u003ctd\u003e34.4% (Surpassing OpenAI for the first time)\u003c/td\u003e\n          \u003ctd\u003eRamp AI Index May Issue\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eAnthropic Annualized Revenue\u003c/td\u003e\n          \u003ctd\u003e$30 billion ($9 billion by end of 2025)\u003c/td\u003e\n          \u003ctd\u003eAnthropic CFO\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eOpenAI Annualized Revenue\u003c/td\u003e\n          \u003ctd\u003e~$24 billion\u003c/td\u003e\n          \u003ctd\u003eOpenAI\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eClaude Code Market Share\u003c/td\u003e\n          \u003ctd\u003e54% (Menlo) / 46% JetBrains satisfaction\u003c/td\u003e\n          \u003ctd\u003eMenlo Ventures/JetBrains\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eSpaceX IPO Valuation\u003c/td\u003e\n          \u003ctd\u003e$1.75 trillion\u003c/td\u003e\n          \u003ctd\u003eSpaceX S-1\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eSpaceX 2025 Revenue\u003c/td\u003e\n          \u003ctd\u003e$18.7 billion (Operating loss $2.6 billion)\u003c/td\u003e\n          \u003ctd\u003eSpaceX S-1\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eAnthropic→SpaceX Monthly Compute Fee\u003c/td\u003e\n          \u003ctd\u003e$1.25 billion (Colossus 1 full 300MW, 220K GPU)\u003c/td\u003e\n          \u003ctd\u003eSpaceX S-1\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eNVIDIA Annual Spending in Taiwan\u003c/td\u003e\n          \u003ctd\u003e~$150 billion ($10-15 billion 4-5 years ago)\u003c/td\u003e\n          \u003ctd\u003eJensen Huang All-Hands Meeting\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eKPMG Claude Deployment Scale\u003c/td\u003e\n          \u003ctd\u003e276,000 Employees\u003c/td\u003e\n          \u003ctd\u003eKPMG\u003c/td\u003e\n      \u003c/tr\u003e\n      \u003ctr\u003e\n          \u003ctd\u003eChinese AI Models Global Weekly Tokens\u003c/td\u003e\n          \u003ctd\u003e4.12 trillion (Surpassing US for the first time)\u003c/td\u003e\n          \u003ctd\u003eOpenRouter\u003c/td\u003e\n      \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2 id=\"-deep-observation\"\u003e\n  🧠 Deep Observation\n  \u003ca class=\"heading-link\" href=\"#-deep-observation\"\u003e\n    \u003ci class=\"fa-solid fa-link\" aria-hidden=\"true\" title=\"Link to heading\"\u003e\u003c/i\u003e\n    \u003cspan class=\"sr-only\"\u003eLink to heading\u003c/span\u003e\n  \u003c/a\u003e\n\u003c/h2\u003e\n\u003cp\u003eMay 28 is no ordinary day. Three unrelated events occurred on the same day, together telling a complete story:\u003c/p\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eAnthropic surpasses OpenAI\u003c/strong\u003e—The power handover in the enterprise market is complete.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eSpaceX public S-1\u003c/strong\u003e—Pushing orbital AI computing into the public capital markets.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eJensen Huang locks in Vera Rubin capacity\u003c/strong\u003e—The next round of the chip war has begun.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003eCollective signal: \u003cstrong\u003eAI control is shifting from the model layer to the physical layer.\u003c/strong\u003e The 2024 question was \u0026ldquo;whose model is smartest,\u0026rdquo; 2025 is \u0026ldquo;who can ship products fastest.\u0026rdquo; After May 28, 2026, the question becomes \u0026ldquo;who controls the compute infrastructure.\u0026rdquo;\u003c/p\u003e\n\u003cp\u003eMusk appears in all three events simultaneously—SpaceX providing compute for Anthropic ($1.25 billion per month), xAI competing with Anthropic, and the SpaceX IPO making him an $800 billion net worth CEO/CTO/Chairman. Is this one person\u0026rsquo;s compute empire, or a man-made systemic risk? The most noteworthy question for the second half of the year.\u003c/p\u003e\n\u003chr\u003e\n\u003cp\u003e\u003cem\u003e📬 This daily report was assisted by AI Daily Digest 3.2.0 Pipeline, manually reviewed. 2026.05.28 Morning Broadcast.\u003c/em\u003e\u003c/p\u003e\n",
  "wordCount": 1725,
  "readingTime": 9,
  "tableOfContents": "\u003cnav id=\"TableOfContents\"\u003e\n  \u003cul\u003e\n    \u003cli\u003e\u003ca href=\"#-this-issues-watch-list-in-depth-guide\"\u003e📖 This Issue\u0026rsquo;s Watch List In-depth Guide\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#1--the-official-handover-of-enterprise-ai-power--anthropic-fully-surpasses-openai\"\u003e1. 🔥 The Official Handover of Enterprise AI Power — Anthropic Fully Surpasses OpenAI\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#2--spacex-s-1-exposed-the-ai-orbital-compute-bet-behind-the-175t-valuation\"\u003e2. 🚀 SpaceX S-1 Exposed: The AI Orbital Compute Bet Behind the $1.75T Valuation\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#3--jensen-huang-arrives-in-taiwan-vera-rubin-mass-production-locked-and-the-largest-product-launch-in-taiwans-history\"\u003e3. 🇹🇼 Jensen Huang Arrives in Taiwan: Vera Rubin Mass Production Locked and \u0026ldquo;The Largest Product Launch in Taiwan\u0026rsquo;s History\u0026rdquo;\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#4--new-milestones-in-enterprise-ai-deployment\"\u003e4. 🏢 New Milestones in Enterprise AI Deployment\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-x-platform-ai-hot-news-briefs\"\u003e🌐 X Platform AI Hot News Briefs\u003c/a\u003e\n      \u003cul\u003e\n        \u003cli\u003e\u003ca href=\"#topic-1-anthropic-surpasses-openai-sparks-intense-debate-in-developer-community\"\u003eTopic 1: Anthropic Surpasses OpenAI Sparks Intense Debate in Developer Community\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-2-musks-triple-role-sparks-ipo-governance-controversy\"\u003eTopic 2: Musk\u0026rsquo;s Triple Role Sparks IPO Governance Controversy\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-3-g7s-first-ai-privacy-rulingcanada-vs-chatgpt\"\u003eTopic 3: G7\u0026rsquo;s First AI Privacy Ruling—Canada vs. ChatGPT\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-4-erdős-conjecture-solved-by-aia-watershed-moment-for-scientific-reasoning\"\u003eTopic 4: Erdős Conjecture Solved by AI—A Watershed Moment for Scientific Reasoning\u003c/a\u003e\u003c/li\u003e\n        \u003cli\u003e\u003ca href=\"#topic-5-kpmg-fully-deploys-claude-for-276-万-employees\"\u003eTopic 5: KPMG Fully Deploys Claude for 27.6 万 Employees\u003c/a\u003e\u003c/li\u003e\n      \u003c/ul\u003e\n    \u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-key-data\"\u003e📊 Key Data\u003c/a\u003e\u003c/li\u003e\n    \u003cli\u003e\u003ca href=\"#-deep-observation\"\u003e🧠 Deep Observation\u003c/a\u003e\u003c/li\u003e\n  \u003c/ul\u003e\n\u003c/nav\u003e",
  "isDraft": false
}