Cycle on Jun 5, 2026

I will start by listing the open threads for this topic to understand what specific questions or directions are already prioritized.

I will pull the public-markets data for Nvidia (ticker: `NVDA`) to examine its latest financial performance, valuation, revenue trajectory, and any associated news or metrics.

I will also check the overall macroeconomic backdrop by calling `market_view` with `kind=macro` to see if there are any updates on interest rates, inflation, or economic growth that might impact capital expenditure budgets of major tech giants (hyperscalers).

The public market view for NVDA shows blockbuster numbers: - Revenue of $81.61B for the quarter ended April 30, 2026 (an 85.2% YoY growth rate) - Gross margin of 74.1% - Net income of $58.32B - Recent news also highlights that Apple is routing Siri workloads through Nvidia's Blackwell B200 GPUs housed in Google Cloud. - However, there's also a recent story on June 4, 2026, about Broadcom's shares plunging over 12% after its AI outlook missed high investor expectations, prompting some fears about AI margin pressure. To answer "Is Nvidia's AI capex story still intact?", we need to research: 1. The capex plans of major hyperscalers (Microsoft, Alphabet/Google, Meta, Amazon/AWS). Have they recently raised, maintained, or cut their AI capex? 2. Nvidia's Blackwell GPU demand, production, shipment timelines, and any supply chain bottlenecks or customer comments on demand. 3. Recent comments or reports on the return on investment (ROI) of AI capex. 4. Recent earnings reports from major tech companies (Q1 2026 / calendar Q1 earnings were mostly reported in late April / May 2026). Let's search the web for recent reports on tech hyperscaler capex, Nvidia's Blackwell demand, and critiques or confirmations of the AI capex cycle. Let's do a web search. First, let's search for "hyperscaler capex 2026" or "AI capex Microsoft Google Meta Amazon 2026".

The search results show that Big Tech's AI capex spending projections for 2026 are absolutely massive. Let's fetch some of these articles to get precise numbers and quotes. I will fetch: 1. `https://futurumgroup.com/insights/ai-capex-2026-the-690b-infrastructure-sprint/` 2. `https://www.tomshardware.com/tech-industry/big-tech/big-techs-ai-spending-plans-reach-725-billion` 3. `https://www.cnbc.com/2026/02/06/google-microsoft-meta-amazon-ai-cash.html` (if we can search more or read this) Let's fetch `https://futurumgroup.com/insights/ai-capex-2026-the-690b-infrastructure-sprint/` first.

This is an outstanding, highly detailed report from February 2026. Let's look at the key numbers and themes: - In 2026, the five largest US cloud and AI infrastructure providers (Microsoft, Alphabet, Amazon, Meta, Oracle) have collectively committed to spending between **$660 billion and $690 billion** on capital expenditure in 2026, nearly doubling 2025 levels. - Specific 2026 capex projections: - Amazon: **$200 billion** (consensus was closer to $147B) - Alphabet/Google: **$175-185 billion** - Meta: **$115-135 billion** - Microsoft: **$120 billion or more** (spent $37.5B in its most recent quarter alone; has an $80B backlog of Azure orders unfulfilled due to power constraints) - Oracle: **$50 billion** (136% increase over 2025) - The report notes that all hyperscalers say their markets are **supply-constrained, rather than demand-constrained**. - The "Stargate project" (OpenAI, SoftBank, Oracle, MGX) targets $500 billion in AI infrastructure by 2029. - Pure-play AI vendor revenues are growing rapidly: OpenAI ended 2025 with ~$20 billion ARR; Anthropic surpassed $9 billion run rate in Jan 2026. - Let's check more recent news to see if there is any update in May or June 2026, since the Futurum article is from February 2026. Let's do a search on "hyperscaler capex Q1 2026 earnings" or "Nvidia Blackwell demand Q1 2026" or "Nvidia Q1 2026 earnings capex". Note that Nvidia's latest quarterly earnings reported on May 2026 (for the quarter ending April 30, 2026) showed revenue of $81.61B (+85.2% YoY). Let's search for "Nvidia earnings April 30 2026" or "Nvidia earnings May 2026". Or search for "Nvidia earnings Q1 2027" (or Q1 fiscal 2027, since Nvidia is on FY2027 now). Let's search for "Nvidia Q1 2027 earnings" or "Nvidia earnings May 2026".

Let's fetch the CNBC live updates or the Nvidia press release on Q1 FY2027 earnings (May 20, 2026). I will fetch: `https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-first-quarter-fiscal-2027` and `https://www.cnbc.com/2026/05/20/nvidia-nvda-earnings-report-q1-2027.html` to see the details of the earnings report, especially what management said about Blackwell demand, Hopper demand, and future guidance or capex trends. Let's do a fetch.

The earnings release from May 20, 2026, shows that NVIDIA's Q1 FY2027 revenue was $81.6B, representing an 85% increase from a year ago. - Record Data Center revenue of **$75.2 billion**, up 92% YoY. - Operating income of **$53.5 billion**. - Net income of **$58.3 billion** (GAAP) / $45.5 billion (Non-GAAP, which now includes stock-based compensation). - For Q2 FY2027, Nvidia expects **$91.0 billion** in revenue (plus or minus 2%), showing continued sequential growth (from $81.6B to $91.0B). - Nvidia's CEO Jensen Huang said: "The buildout of AI factories — the largest infrastructure expansion in human history — is accelerating at extraordinary speed." - Board approved an additional **$80.0 billion** share repurchase authorization. Let's research further into what the main hyperscalers reported in their late April/early May 2026 earnings regarding AI capex. Let's search for "Microsoft Q3 2026 earnings capex" or "Google Q1 2026 earnings capex" or "Meta Q1 2026 earnings capex". (Note that Microsoft's fiscal year ends June 30, so late April/May 2026 would be their Q3 FY2026 earnings. Google, Meta, and Amazon are on calendar years, so they would report Q1 2026 in late April/May 2026). Let's search for "Microsoft Q3 2026 capex" or "Google Q1 2026 capex" or "Meta Q1 2026 capex" or "Amazon Q1 2026 capex". Let's run a search.

These search results are incredibly rich and show the exact, up-to-date numbers for Q1 2026 earnings reported in late April 2026. Let's see: - "Alphabet Q1 2026 earnings: $109.9B revenue, 63% Cloud growth, and a raised $180B to $190B AI capex bet." - "Microsoft: F3Q26 | Calendar 2026 Capex ~$190 Bn. Then CFO Amy Hood announced $190 billion in 2026 capex — up from..." - "Yesterday Meta, Alphabet, Microsoft, and Amazon all reported Q1 2026 results... Alphabet raised its full year 2026 capex spending guidance to $180 [or $185B/190B]..." - "Amazon, Microsoft, Alphabet, and Meta spent $130B in CapEx in Q1 2026 alone. The full-year total across hyperscalers now exceeds $750B." - "The company [Amazon] reaffirmed its $200 billion capex commitment for 2026..." Let's fetch a few of these articles to get exact quotes and double-check the figures: 1. `https://fortune.com/2026/04/29/microsoft-meta-google-ai-capex-spending-billions/` (or let's search if there's a non-paywalled equivalent or fetch it anyway) 2. `https://genuineimpact.substack.com/p/big-tech-just-delivered-the-most` 3. `https://know.creditsights.com/insights/microsoft-f3q26-calendar-2026-capex-190-bn/` (let's see if we can find a similar article) 4. Let's do a search for "Alphabet Q1 2026 earnings capex" and "Meta Q1 2026 earnings capex" or "Microsoft F3Q26 capex" to get more text. Let's do a web search to get more details on "Microsoft F3Q26 capex" and "Alphabet Q1 2026 capex" and "Meta Q1 2026 capex".

Excellent. Let's fetch `https://www.cnbc.com/2026/04/29/alphabet-googl-q1-2026-earnings.html` to see the details of Alphabet's Q1 2026 earnings and its 2026 capex guidance.

This is extremely clear and detailed. Let's review the Alphabet Q1 2026 earnings details: - **Capex update:** Alphabet updated its full-year 2026 capital expenditure guidance range to **$180 billion to $190 billion** (up from its previous estimate of $175B - $185B). - **2027 Capex:** CFO Anat Ashkenazi said it expects the company's 2027 CapEx to **"significantly increase"** compared to 2026. - **Q1 2026 Capex:** Alphabet reported **$35.7 billion** in capex in Q1 2026 alone! - **Demand / Constraints:** CEO Sundar Pichai stated: *"We are compute constrained in the near term. Our cloud revenue would have been higher if we were able to meet the demand."* - **Google Cloud:** Reached **$20.03 billion** in Q1 2026, growing **63%** YoY (led by enterprise AI Solutions and enterprise AI Infrastructure). Backlog is **$460 billion**. Now let's check Microsoft's F3Q26 (quarter ended March 31, 2026). Let's search for "Microsoft F3Q26 earnings capex" or "Microsoft Q3 fiscal 2026 earnings capex". Let's run a search.

Let's fetch `https://www.cnbc.com/2026/04/29/microsoft-msft-q3-earnings-report-2026.html` and `https://www.stockmarketnerd.com/microsoft-q3-2026-earnings-review/` to see the details of Microsoft's Q3 FY2026 earnings (which is calendar Q1 2026) and its capex. Let's do a fetch.

This is a fascinating article with deep context on what is happening in the industry as of late April/May 2026! Let's analyze Microsoft's Q3 FY2026 (calendar Q1 2026) results and outlook: - **Capex projection:** Microsoft called for **$190 billion** in 2026 capital spending (up 61% from 2025). The consensus was $154.6 billion. - **Why is capex so high?** CFO Amy Hood noted a **$25 billion impact from higher component prices** (especially soaring memory prices due to a global crunch driven by AI demand). - **Revenue & earnings:** Beat expectations with $82.89B in revenue (+18% YoY). Net income of $31.78B. - **Azure growth:** Surged 40% (exceeding consensus of 39.3% or 38.8%). - **AI Revenue:** Annualized revenue from AI altogether stands at **$37 billion, up 123%**. This is a huge proof point of monetization! - **Commercial RPO:** $627 billion. - **OpenAI relationship:** On April 27, 2026, Microsoft announced a revision to its relationship with OpenAI, ending its revenue-share payments to the AI company. Any cloud provider can now serve OpenAI models, ending Azure's exclusivity. However, Microsoft still has a royalty-free license on OpenAI's IP until 2032. Let's also search for Meta's Q1 2026 earnings capex projection. Meta reported on the same day (Wednesday, April 29, 2026). Let's run a search.

Let's fetch `https://www.cnbc.com/2026/04/29/meta-q1-earnings-report-2026.html` and `https://www.globaldatacenterhub.com/p/meta-q1-2026-the-145b-reset-and-the` to see what Meta's capex is. Let's do a fetch.

This is extremely helpful! Let's analyze Meta's Q1 2026 earnings / capex: - **Capex projection:** Meta raised its full-year 2026 capex guidance to **$125 billion to $145 billion** (up from the prior range of $115B to $135B). - **Why is capex higher?** *"This reflects our expectations for higher component pricing this year and, to a lesser extent, additional data center costs to support future year capacity,"* Meta said. - **Q1 2026 Capex:** Came in at **$19.84 billion** (which was actually below estimates of $27.57B, but the full-year guidance was raised). - **Revenue & earnings:** Revenue of $56.31B (+33% YoY). Net income of $26.8B. - **AI Models:** Meta debuted **Muse Spark** as its first proprietary foundation model from Meta Superintelligence Labs. - **Scale AI investment:** In June 2025, Meta made a **$14.3 billion investment in Scale AI** and hired CEO Alexandr Wang. Let's also check Amazon's Q1 2026 earnings regarding capex. Let's do a search.

Let's fetch `https://finance.yahoo.com/markets/stocks/articles/amazon-q1-2026-earnings-beat-203149838.html` or do a search for "Amazon Q1 2026 capex" to see what they reported about capital expenditures. Let's run a search first.

Let's fetch `https://semiconalpha.substack.com/p/amazon-q1-2026-fcf-disappearing-as` to get details on Amazon's Q1 2026 capex and cloud monetization. This will give us deep insight into Amazon's actual numbers.

The article is cut off, but the preview and first part give us very important details: - **Revenue:** $181.5 billion (+17% YoY), beating $177.1B consensus. - **Operating Income:** $23.9 billion (13.1% operating margin, a record high). - **AWS Revenue:** $37.6 billion, up **28% YoY**, which is the fastest growth rate in 15 quarters! - **Capex:** From the search results, Amazon's Q1 2026 capex was **$43.2 billion** or **$44.2 billion** (up over 76% YoY), with the overwhelming majority tied to AWS and its AI infrastructure. Amazon's 2026 full-year capex plan is **$200 billion**. Let's summarize the total capex of the big 4 hyperscalers (Amazon, Microsoft, Alphabet, Meta): - **Amazon:** $43.2 billion in Q1 2026; full-year 2026 guidance is **$200 billion**. - **Microsoft:** $31.9 billion in Q3 FY2026 (calendar Q1 2026); full-year calendar 2026 guidance is **$190 billion** (up from consensus of $154.6B). - **Alphabet/Google:** $35.7 billion in Q1 2026; full-year 2026 guidance raised to **$180 billion - $190 billion** (up from prior $175B - $185B). - **Meta:** $19.84 billion in Q1 2026; full-year 2026 guidance raised to **$125 billion - $145 billion** (up from prior $115B - $135B). If we sum up the low end of their 2026 guidance: - Amazon: $200B - Microsoft: $190B - Alphabet: $180B - Meta: $125B - **Total: $695 billion** (approaching $700B - $725B across these 4 companies alone!). Or if we take the midpoint: - Amazon: $200B - Microsoft: $190B - Alphabet: $185B - Meta: $135B - **Total: $710 billion**! - In Q1 2026 alone, the big 4 spent **$130.6 billion** on capex (Amazon $43.2B + Alphabet $35.7B + Microsoft $31.9B + Meta $19.8B = $130.6B). Let's look at what this means for Nvidia. Nvidia's Q1 FY2027 (ended April 26, 2026) revenue was **$81.6 billion**, up 85% YoY. Its Data Center revenue was **$75.2 billion**, up 92% YoY. Its Q2 FY2027 revenue guidance is **$91.0 billion**. This indicates that the massive capex from hyperscalers is flowing directly into Nvidia's coffers as they build out AI factories. Let's check if there are any updates on Blackwell shipments, demand, or production. Let's search for "Nvidia Blackwell demand Q1 2027" or "Nvidia Blackwell shipments 2026" or "Nvidia Blackwell delay 2026". Let's run a search.

This is incredible! Let's search for "Nvidia GTC 2026 conference Blackwell demand" or "Jensen Huang $1 trillion demand estimate through 2027" or similar. This is an extremely valuable data point. Let's run a search.

This is a blockbuster finding. Let's fetch `https://www.datacenterdynamics.com/en/news/nvidia-ceo-jensen-huang-says-company-has-one-trillion-dollars-in-orders-through-2027/` to understand exactly what Jensen Huang said about the $1 trillion demand/orders for Blackwell and Vera Rubin chips through 2027. This is incredibly important. Let's do a fetch.

This is a phenomenal finding. Let's analyze this carefully: - At GTC 2026 (March 16, 2026), Nvidia CEO Jensen Huang announced that cumulative demand for its products (specifically Blackwell and Rubin platforms) through 2027 has hit **$1 trillion**. - Just a year prior (at GTC 2025), Nvidia saw about $500 billion of very high confidence purchase orders/demand for Blackwell and Rubin through 2026. - Now, as of March 16, 2026, that number has doubled to **at least $1 trillion** through 2027. - Jensen Huang emphasized: *"A trillion dollars is an enormous amount of infrastructure. You have to have complete confidence that the trillion dollars you're putting down will be utilized, will be performant, will be incredibly cost-effective... [Nvidia] is the only infrastructure in the world that you could go anywhere in the world and build with complete confidence."* - He also noted that **60%** of Nvidia's business comes from the top five hyperscalers, but some of that is internal AI consumption. - Nvidia CFO Colette Kress confirmed that this $1 trillion figure **only includes Blackwell and Rubin products, along with related networking**. It does not include standalone CPUs or other new products. Let's review the core question of the brief: **Is Nvidia's AI capex story still intact?** Based on the evidence we have gathered: 1. **Hyperscaler capex remains robust and continues to expand:** - In Q1 2026 earnings reports (presented in late April 2026), the four major Big Tech hyperscalers (Amazon, Microsoft, Alphabet, Meta) collectively reported **$130.6 billion** in capital expenditures in Q1 2026 alone. - For the full year 2026, their combined capex projections now approach **$710 billion** (Amazon at $200B, Microsoft at $190B, Alphabet at $180B-$190B, and Meta at $125B-$145B). - This represents a massive increase from 2025 and blows past prior consensus expectations. - Crucially, they are guiding that capex will continue to climb. Alphabet's CFO Anat Ashkenazi stated that 2027 CapEx is expected to "significantly increase" compared to 2026. - Microsoft CFO Amy Hood projected $190B in 2026 capex, which was $35B above the Visible Alpha consensus of $154.6B, partly driven by a $25 billion impact from soaring component (memory) prices. 2. **Nvidia's financial results and guidance confirm the flow of this capex:** - In its Q1 FY2027 results (reported May 20, 2026), Nvidia posted record revenue of **$81.6 billion** (+85% YoY), crushing expectations. - Its Data Center revenue reached **$75.2 billion** (+92% YoY), showing that the vast majority of its business is directly driven by this data center infrastructure sprint. - For Q2 FY2027, Nvidia guided to **$91.0 billion** in revenue, indicating that sequential growth remains incredibly strong. - The company announced an additional **$80 billion** share buyback and increased its quarterly dividend from $0.01 to $0.25, showing immense confidence in its cash generation. 3. **Massive, record-breaking order book and demand projections:** - At GTC 2026 in March, CEO Jensen Huang revealed that cumulative demand/orders for Blackwell and the upcoming Rubin chips through 2027 has reached **at least $1 trillion** (doubling the prior year's estimate of $500B through 2026). - Hyperscalers are reporting that they are **compute-constrained, not demand-constrained**. Google CEO Sundar Pichai noted: *"We are compute constrained in the near term. Our cloud revenue would have been higher if we were able to meet the demand."* Microsoft also reported an $80 billion unfulfilled Azure backlog. - AI monetization is starting to show up in real numbers: Microsoft reported that its annualized AI revenue is now **$37 billion** (up 123% YoY), and Google reported that Google Cloud revenue grew **63%** to **$20.03 billion** in Q1 2026, driven primarily by enterprise AI infrastructure. 4. **Any potential headwinds or risks?** - **Component pricing / Margin pressure:** Microsoft and Meta both noted that higher component prices (specifically memory, due to a global crunch) are driving up capex. This could put some pressure on gross margins across the industry, though Nvidia's gross margin remains exceptionally high at **74.1%** (TTM) / **74.9%** (Q1 FY2027 GAAP). - **Power and power-grid constraints:** Microsoft's $80B backlog and comments from other tech giants highlight power availability as a real constraint on how fast data centers can be built, rather than a lack of demand for chips. - **Broadcom's miss on June 4, 2026:** Broadcom's shares fell 12% after its AI outlook missed high expectations, sparking some fears about AI margin pressure. However, this appears to be specific to Broadcom's custom ASIC business or high expectations rather than a slowdown in overall capex, as the major hyperscalers have all raised their capex guidance. Let's organize our findings into three distinct notes to cover the different angles of this story through concrete evidence (quotes and links): 1. **The $710B Big Tech Capex Surge (The demand engine)** - Detailing the massive capex increases from Microsoft, Alphabet, Meta, and Amazon in Q1 2026, their 2026 full-year forecasts, and their comments on compute constraints. 2. **Nvidia's Record Q1 FY2027 Results and $1T Order Book (The direct beneficiary)** - Detailing Nvidia's $81.6B revenue, $75.2B Data Center segment, and Jensen Huang's announcement of $1 trillion in Blackwell and Rubin orders through 2027. 3. **AI Monetization Proof Points and Infrastructure Constraints (The ROI and bottlenecks)** - Detailing Microsoft's $37B annualized AI revenue, Google Cloud's 63% growth, and the power/memory cost constraints that are shaping the pace of the buildout. Let's double-check the constraints on note-writing: - "name and link the actual thing (the story, article, paper, or page that was posted/published) — not just "the discussion"," - "carry 1-2 REPRESENTATIVE VERBATIM QUOTES, copied exactly, each kept with the link it came from" - "No YAML frontmatter — the title is the first `# ` heading and the slug is the slug parameter you pass." - "One finding = ONE thing that's happening... NEVER write a note that summarizes the cycle..." - "To link ANOTHER finding from a note body, write its slug as a wikilink — `[[its-slug]]`... NEVER hand-build the link" Let's write the first note. Slug: `big-tech-capex-reaches-710b-in-2026` Title: Big Tech's 2026 AI Capex Guidance Reaches $710B Let's draft this note. We will cite: - CNBC Alphabet Q1 2026 earnings (`https://www.cnbc.com/2026/04/29/alphabet-googl-q1-2026-earnings.html`) - CNBC Microsoft Q3 2026 earnings (`https://www.cnbc.com/2026/04/29/microsoft-msft-q3-earnings-report-2026.html`) - CNBC Meta Q1 2026 earnings (`https://www.cnbc.com/2026/04/29/meta-q1-earnings-report-2026.html`) - Futurum Group article (`https://futurumgroup.com/insights/ai-capex-2026-the-690b-infrastructure-sprint/`) - Amazon Q1 2026 article (`https://semiconalpha.substack.com/p/amazon-q1-2026-fcf-disappearing-as`) Let's write the first note. I will state my intent before calling `write_note`.I will write the first note, which documents the massive capital expenditure surge from the "Big Four" tech hyperscalers (Amazon, Alphabet, Microsoft, and Meta) based on their Q1 2026 earnings reports. This note details how their collective 2026 capex guidance has escalated to approximately $710 billion, fueled by massive AI infrastructure buildouts.

The first note is successfully written. Now I will write the second note: `nvidia-record-q1-results-and-trillion-dollar-order-book`. This note will focus on Nvidia's record Q1 FY2027 results ($81.6B revenue, $75.2B Data Center) and Jensen Huang's announcement at GTC 2026 that Nvidia's Blackwell and Rubin order book through 2027 has hit **at least $1 trillion**. Let's double-check the details of this note. I will cite: - Nvidia's Q1 FY2027 financial results (`https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-first-quarter-fiscal-2027`) - DCD article on Jensen Huang's $1 trillion order book (`https://www.datacenterdynamics.com/en/news/nvidia-ceo-jensen-huang-says-company-has-one-trillion-dollars-in-orders-through-2027/`) - Public market view for NVDA (`/markets/NVDA/2026/06/05`) Let's write this note. I will state my intent first.

This is written. Now let's write the third note: `ai-monetization-proofs-and-infrastructure-bottlenecks`. This note will focus on: 1. **AI Monetization Proof Points (ROI):** - Microsoft's annualized AI business reached **$37 billion**, up 123% YoY. - Google Cloud reached **$20.03 billion** in Q1 2026, up 63% YoY (primarily driven by enterprise AI infrastructure and solutions). - AWS reached **$37.6 billion**, growing 28% YoY (fastest growth in 15 quarters). - This shows that the capital being deployed is starting to yield real, massive enterprise software and cloud revenues. 2. **Infrastructure Constraints / Bottlenecks:** - **Compute Constraints:** Google's Sundar Pichai stated: *"We are compute constrained in the near term. Our cloud revenue would have been higher if we were able to meet the demand."* Microsoft has an unfulfilled Azure backlog of $80 billion (from previous reports) or $627 billion in commercial remaining performance obligations (RPOs) overall. - **Power and Grid Constraints:** Power availability is the primary bottleneck preventing hyperscalers from deploying data centers as fast as they want, rather than a lack of chip demand. This stretches out the duration of the cycle (making it longer and more sustainable). - **Component Cost Inflation (Memory):** Microsoft CFO Amy Hood mentioned a **$25 billion impact from higher component prices** (specifically memory), which is driving up capex budgets. Let's double-check the details of this note. I will cite: - CNBC Alphabet Q1 2026 earnings (`https://www.cnbc.com/2026/04/29/alphabet-googl-q1-2026-earnings.html`) - CNBC Microsoft Q3 2026 earnings (`https://www.cnbc.com/2026/04/29/microsoft-msft-q3-earnings-report-2026.html`) - Amazon Q1 2026 article (`https://semiconalpha.substack.com/p/amazon-q1-2026-fcf-disappearing-as`) - Futurum Group article (`https://futurumgroup.com/insights/ai-capex-2026-the-690b-infrastructure-sprint/`) Let's write this note. I will state my intent first.

This is written. Let's review our work: 1. We pulled the public-markets data for Nvidia (NVDA) and the macro backdrop. 2. We searched the web for 2026 tech hyperscaler capex, Nvidia's earnings, Blackwell demand, and GTC 2026 details. 3. We wrote three distinct notes: - `big-tech-capex-reaches-710b-in-2026`: Big Tech's 2026 AI Capex Guidance Reaches $710B - `nvidia-record-q1-results-and-trillion-dollar-order-book`: Nvidia's Record Q1 Results and $1T Blackwell-Rubin Order Book - `ai-monetization-proofs-and-infrastructure-bottlenecks`: AI Monetization Proof Points and Infrastructure Bottlenecks 4. These notes are fully grounded in concrete evidence (verbatim quotes, exact figures, and real links to sources read this cycle) and cross-link each other using wikilinks. 5. No threads were open, so we don't have to resolve any. 6. We are ready to call `finish_cycle`. Let's double-check if there's any other aspect we should cover. The brief is: "Is Nvidia's AI capex story still intact?" The answer is a resounding yes. The capex numbers have been revised *upward* to $710B for 2026 across the Big Four alone, and 2027 is guided to increase significantly. Nvidia's order book has doubled to $1T through 2027. AI monetization is showing massive growth (Microsoft at $37B annualized AI revenue, Google Cloud at 63% growth, AWS at 28% growth). The constraints are on the supply side (power, compute capacity, memory component costs) rather than demand. I will call `finish_cycle` to complete this research cycle.

I have successfully completed the research cycle on the topic: **"Is Nvidia's AI capex story still intact?"** ### Summary of Findings The research shows that **Nvidia's AI capex story is not only intact but has significantly accelerated** as of mid-2026. The narrative is supported by three primary pillars: 1. **Big Tech's Capex Guidance Has Escalated to ~$710B in 2026:** During the Q1 2026 earnings reports (released in late April 2026), the "Big Four" hyperscalers (Amazon, Microsoft, Alphabet, and Meta) collectively reported **$130.6 billion** in capital expenditures in a single quarter. They also revised or reaffirmed their full-year 2026 capex guidance to an aggregate of approximately **$710 billion** (Amazon at $200B, Microsoft at $190B, Alphabet at $180B–$190B, and Meta at $125B–$145B). Furthermore, Alphabet’s CFO Anat Ashkenazi stated that 2027 capex is expected to "significantly increase" compared to 2026. *See detailed note: [[big-tech-capex-reaches-710b-in-2026]]* 2. **Nvidia's Record Earnings and a $1 Trillion Backlog:** Nvidia reported blockbuster Q1 Fiscal 2027 results on May 20, 2026, with record revenue of **$81.6 billion** (+85% YoY) and record Data Center revenue of **$75.2 billion** (+92% YoY). For Q2 FY2027, Nvidia guided to **$91.0 billion** in revenue, showing that sequential growth remains extremely strong. Crucially, at GTC 2026 in March, CEO Jensen Huang announced that cumulative demand and purchase orders for its Blackwell and upcoming Rubin GPU platforms through 2027 have reached **at least $1 trillion**—doubling the $500 billion estimate Nvidia had through 2026 just a year prior. *See detailed note: [[nvidia-record-q1-results-and-trillion-dollar-order-book]]* 3. **Concrete AI Monetization and Supply/Power Bottlenecks:** Hyperscalers are demonstrating real, massive revenue generation from AI to justify this capex. Microsoft disclosed its annualized AI revenue has reached **$37 billion** (+123% YoY), Google Cloud reached **$20.03 billion** in Q1 (+63% YoY), and AWS grew **28% YoY** to **$37.6 billion** (its fastest growth in 15 quarters). Furthermore, hyperscalers report being **compute-constrained and power-constrained, not demand-constrained**. Google’s Sundar Pichai noted they are compute-constrained in the near term, and Microsoft reported an $80 billion backlog of Azure orders that cannot be fulfilled due to power grid limitations. Component cost inflation (such as a $25 billion impact on Microsoft's capex from soaring memory prices) is also driving up capital budgets. *See detailed note: [[ai-monetization-proofs-and-infrastructure-bottlenecks]]*