Cycle on Jul 5, 2026

I am starting the research cycle by listing the open threads to see if there are any specific watches or questions set up for Nvidia or AI capex trends. I will also fetch the public market data for Nvidia (NVDA) and related hyperscalers/macro indicators to ground our quantitative analysis. Let's list the threads first.

I will now call the `market_view` tool for Nvidia (symbol `NVDA`) to get the latest public market data, financial metrics, and current stock/revenue trajectory, which is crucial to assessing if the AI capex story is still intact.

The market view for NVDA shows that trailing twelve-month (TTM) revenue stands at $253.49 billion, with its latest quarter (ending April 30, 2026) reporting $81.61 billion in revenue (up from $68.13B in the prior quarter and $57.01B the quarter before that). Net income was $58.32 billion, and gross margins remain high at 74.1%. Operating cash flow for the latest quarter was $50.34 billion. The stock is currently trading at $194.83, down 9.2% over the last month and down 17.3% from its 52-week high, amid a broader semiconductor selloff. To understand if Nvidia's AI capex story is still intact, I need to search the web for recent news, earnings, or announcements from hyperscalers (like Microsoft, Alphabet, Meta, Oracle, Amazon) and other key industry players (such as CoreWeave, Nebius) regarding their AI capital expenditures. I should also check if there is any news on Nvidia's upcoming Q2 FY2027 earnings (expected late August 2026), Blackwell or Rubin platform shipments, and the massive capital raises (like Alphabet's $90B, Oracle's $40B, and Nvidia's own rumored $25B bond sale). Let's run a web search.

Let's fetch one or two of these articles to get precise, concrete data on hyperscaler spending projections for 2026. The Futurum Group article, the Allianz paper, or the Datacenter Richness Substack look like great sources. I will search for more specific news around "Nvidia Q2 2026", "Nvidia Blackwell demand 2026", "Nvidia bond sale", and "hyperscaler capex cuts" or "hyperscaler capex increases" in recent weeks (June/July 2026). Let's do a search on Nvidia's Blackwell demand, supply constraints, and hyperscaler spend first.

Let's fetch the `vaasblock.com` article and the `io-fund.com` article to gather concrete details on the AI capex thesis and Nvidia's Blackwell ramp and demand/supply balance. I'll fetch `https://www.vaasblock.com/news/nvidia-valuation-ai-capex-thesis-h2-2026/` and `https://io-fund.com/semiconductors/data-center/nvidia-ceo-predicts-ai-spending-will-increase-300-percent-in-3-years`. Let's do that.

The fetch timed out or failed. Let's try fetching the `io-fund.com` article, and also search for other, highly recent articles (freshness="month" or "week") about Nvidia's Blackwell demand, hyperscaler spending, and the current state of AI capex. I'll search with `freshness="month"` first to find very fresh articles from June/July 2026.

The Motley Fool/Yahoo Finance article mentioning Nvidia's stock gains in 2026, the Micron Technology earnings (hitting $41.5 billion in fiscal Q3 2026, up 346% YoY), and the "Computex 2026" keynote from Jensen Huang (unveiling the RTX Spark superchip) are very interesting. Let's do a search specifically about Micron's earnings or the recent tech sell-off, and also search for "Nvidia Q1 2027 earnings call transcript" or "Nvidia Q1 2027" to see what Nvidia reported in May/June 2026. Wait! The market view says NVDA reported for the quarter ending April 30, 2026, which would be Q1 FY2027 (Nvidia's fiscal year is ahead by one year). Yes, that reported $81.61B in revenue and $58.32B in net income. Let's do a web search on `Nvidia Q1 2027 earnings call transcript` or `Nvidia Q1 2027 data center revenue` to find out what they said about Blackwell demand and hyperscaler capex.

Let's fetch the Motley Fool transcript of Nvidia's Q1 FY2027 earnings call to see the exact quotes from Jensen Huang and Colette Kress about Blackwell demand, Hopper demand, and hyperscaler capex. I'll fetch `https://www.fool.com/earnings/call-transcripts/2026/05/20/nvidia-nvda-q1-2027-earnings-transcript/`.

This transcript is extremely rich in details. Let's look at the key points: - **Total Revenue**: $82 billion (the market view has $81.61 billion, which is the GAAP number, sometimes rounded to $82 billion), up 85% YoY and 20% sequentially. - **Data Center Revenue**: $75 billion, up 92% YoY and 21% sequentially, driven by Blackwell architecture demand. - **Hyperscale Subsegment**: $38 billion (~50% of data center revenue), up 12% sequentially. - **ACIE Subsegment (AI Cloud, Industrial, and Enterprise)**: $37 billion, up 31% sequentially, with AI cloud revenue more than tripling YoY. - **Supply Commitments**: Total supply, including inventory purchase commitments and prepaids, increased to **$145 billion**! - **Vera CPU Platform**: Anticipated $20 billion in standalone CPU revenue for the year. - **Production Shipments of VeraRubin**: Set to begin in Q3 (which would be Q3 FY2027, i.e., Fall 2026), with ramp continuing into the following quarters. - **Q2 FY2027 Outlook**: Expected $91 billion (+/- 2%). - **Management Quote**: "Demand has gone parabolic. The reason is simple. Agentic AI has arrived. AI can now do productive and valuable work. Tokens are now profitable, so model makers are in a race to produce more." Let's check if there are other recent developments regarding the AI capex story. The brief asks: "Is Nvidia's AI capex story still intact?" Yes, based on: 1. Hyperscalers' massive capex projections for 2026 (estimated at $630B to $750B). 2. Nvidia's own Q1 FY2027 results (reported May 20, 2026), where they reported $75 billion in Data Center revenue (up 92% YoY) and guided Q2 FY2027 revenue to $91 billion (led by Data Center and Blackwell adoption). 3. Nvidia's massive supply commitments rising to $145 billion to secure capacity. 4. The shift to "Agentic AI" driving parabolic token demand, making token generation highly profitable. 5. The transition to the Vera CPU Platform and VeraRubin shipments starting in Q3 2026. Wait, let's look at the prior findings to see if there are any specific notes we should update. The prior findings include: - `nvidia-record-q1-results-and-trillion-dollar-order-book` (Nvidia's AI Capex Story Remains Intact Supported by $690B Hyperscaler Sprint and Blackwell Prominence) - `big-tech-capex-reaches-710b-in-2026` (Big Tech's AI Capex Reaches Historic Scale as Global Data Center Forecast Surpasses $1 Trillion) This is a perfect opportunity to update `nvidia-record-q1-results-and-trillion-dollar-order-book` with the official Q1 FY2027 numbers reported on May 20, 2026, and the guidance for Q2 FY2027 ($91B). Let's read the current note for `nvidia-record-q1-results-and-trillion-dollar-order-book` first to see what it contains, so we can update it in place. I will list the notes using `read_notes` to see their current content.

I want to fetch the exact content of `nvidia-record-q1-results-and-trillion-dollar-order-book` to update it with the latest findings. However, since we don't have a specific "get_note" tool, I can just rewrite the note under the same slug `nvidia-record-q1-results-and-trillion-dollar-order-book` using `write_note`. The tool description says "reusing a slug updates the existing note and snapshots the prior content into note_revisions. Slug is path-segment safe; reusing a slug updates the existing note." Let's do a search on the web to see if there are any other recent updates or warnings about the AI capex story in June/July 2026. For example, some analysts have recently noted that Corning, Coherent, and Applied Materials fell in a semiconductor sell-off, but is there any real sign of a slowdown in capex? Or is the long-term capex thesis still fully intact? Let's check the Micron Technology earnings reported in late June 2026 as a major proxy for AI demand. Let's do a search on Micron's earnings or comments.

Let's fetch the Quartz/Yahoo Finance/LinkedIn analysis of Micron's fiscal Q3 2026 earnings (reported in late June 2026) to see the exact numbers and quotes. I'll fetch `https://qz.com/micron-earnings-record-revenue-ai-memory-demand-062426`. This is highly relevant as a direct supply-chain proxy for Nvidia's AI capex story. If Micron is seeing record AI memory demand and lifting its capex plan to $20 billion, it reinforces that the hardware buildout remains incredibly hot in mid-2026.

This is an unbelievable print. Micron reported fiscal Q3 2026 revenue of **$41.46 billion** (up from $9.30 billion a year earlier) and guided fiscal Q4 2026 to **$50.00 billion**! This is driven entirely by AI memory demand (HBM4 and high-density DRAM). Let's do a quick search on the web to see if there are other signs that the AI capex story remains fully intact, specifically looking at: - Hyperscaler capital expenditure updates in Q2 2026. - Any recent analysis or reports from major investment banks (Goldman Sachs, Morgan Stanley, etc.) on AI capex in June/July 2026. - The state of CoreWeave, Nebius, and other specialized clouds. Let's run a search for "hyperscaler capex projections Q2 2026 June July".

Let's fetch `https://www.techtimes.com/articles/319306/20260629/big-tech-ai-spending-tops-725-billion-free-cash-flow-hits-zero-this-summer.htm` and `https://mlq.ai/research/hyperscaler-ai-capex-620b-and-still-climbing/` (or the MSN article on the $5.5T forecast). Let's fetch the TechTimes article first to get a strong view of the current sentiment in late June 2026. This article highlights that Big Tech AI spending (Microsoft, Amazon, Alphabet, Meta, Oracle) has topped $725 billion in 2026, pushing combined free cash flow toward zero. This is a massive, concrete piece of evidence regarding the sustainability and scale of the capex boom supporting Nvidia.

This is a phenomenal, highly detailed, and incredibly citable source. It summarizes the current state of AI capex in mid-2026: - **Big Tech AI Spending**: Combined 2026 capital expenditures across the four largest hyperscalers (Amazon, Alphabet, Microsoft, and Meta) have reached approximately **$725 billion** (a 77% increase from ~$410 billion in 2025). - **Amazon**: Plans to spend $200 billion. - **Alphabet**: Guided to $180-$190 billion (and recently priced an $84.75 billion equity offering across common stock, capital stock, and mandatory convertible preferred shares, plus a $10B Berkshire Hathaway private placement). - **Microsoft**: Tracking toward $190 billion. - **Meta**: Raised its guidance to $125-$145 billion (citing higher memory-chip costs and data center construction). - **Free Cash Flow Crossover**: Aggregate operating cash flow is growing at ~23% annually, while aggregate capex is growing at 70% annually. The two curves cross around Q3 2026 (this summer), where combined free cash flow reaches zero. - **Accounting Explanation**: Depreciation delays the income statement impact (4-6 year useful life for server hardware), so companies remain highly profitable on paper while actual cash accounts run dry. - **Bond Market Funding**: AI debt is nearly doubling, with AI-related issuers raising $236 billion by May 31, 2026 (projected to reach $570 billion in 2026). - **Revenues**: Demand remains incredibly strong. AWS grew 28% in Q1 2026 to $37.59 billion. Microsoft's AI revenue has surpassed an annual run rate of $37 billion (up 123% YoY). Google Cloud's backlog reached $462 billion. This provides the ultimate backdrop to the question: **Is Nvidia's AI capex story still intact?** Yes, the spending is not only intact; it is growing *faster* than ever, even forcing hyperscalers to raise unprecedented amounts of debt and equity (Alphabet's $84.75B equity raise, Oracle's $40B program, Amazon's $17.5B credit line) to buy Nvidia's GPUs and systems. The demand is "parabolic" (as Nvidia's management noted in the Q1 FY2027 transcript), driven by "Agentic AI." I have enough information to write/update the findings. Let's see: 1. I should update the finding `nvidia-record-q1-results-and-trillion-dollar-order-book` to reflect the official Q1 FY2027 numbers reported on May 20, 2026 ($81.61B revenue, $75B data center revenue, $145B supply commitments), the Q2 guidance ($91B), the "Agentic AI" narrative, and the massive $725B hyperscaler capex backdrop that requires equity/debt raises to fund. 2. I should also update `big-tech-capex-reaches-710b-in-2026` (which can be updated to reflect the up-to-date $725B hyperscaler capex numbers, the FCF crossover this summer, the depreciation accounting paradox, and the massive Alphabet $84.75B capital raise). Wait, let's look at the slug `big-tech-capex-reaches-710b-in-2026`. I will write a note with that slug. Wait! Is there an active watch that has fired? Let's check our list of threads: - Thread `019ef1e2-810a-7234-ab4a-1680b5c05e86` is "NY Governor Hochul action on Data Center Moratorium Bill". The fire date is July 15, 2026. It is currently July 5, 2026. So it hasn't fired yet. - Thread `019edd49-1ccb-73d3-9fc0-80ae266f32c4` is "Nebius Group Q2 2026 earnings and margin trajectory" (fire date August 15, 2026). Hasn't fired. - Thread `019ed2f6-f136-7051-a5b0-fa3b26ec02e0` is "Nvidia Q2 FY2027 Earnings Release" (fire date August 20, 2026). Hasn't fired. - Thread `019f10c8-53dd-729c-926a-27e735d10910` is "Alphabet Q2 2026 Earnings and Dilution Impact Tracking" (fire date July 25, 2026). Hasn't fired. - Thread `019f2562-c3fe-7acd-b490-6b81a0a345e9` is "Nvidia $25B Bond Sale Execution and Pricing" (fire date November 15, 2026). Hasn't fired. So none of the watches have fired yet. Let's write/update the findings. First, let's write/update `nvidia-record-q1-results-and-trillion-dollar-order-book` to capture Nvidia's Q1 FY2027 stellar print, the $145B supply commitments, the "Agentic AI" thematic shift, and the massive demand for Vera CPUs and Blackwell. Let's draft it. Wait, I should make sure my finding carries 1-2 representative verbatim quotes, each kept with the link it came from, and interprets what it means. Let's write `nvidia-record-q1-results-and-trillion-dollar-order-book`. I will state my intent first. I will write a note updating this slug.

Now let's update the other relevant finding: `big-tech-capex-reaches-710b-in-2026`. The title of that finding can be refined to reflect the new $725B hyperscaler capex figures, the free cash flow crossover point in Q3 2026, the depreciation accounting paradox, and the capital market financing shift (Alphabet's $84.75B raise, etc.). Let's write a note to update `big-tech-capex-reaches-710b-in-2026` with these fresh facts and quotes. I will state my intent first.

Now let's check if we need to record any new threads or watches, or if there is anything else to resolve. Currently, our active threads and watches are fully aligned. We updated the findings with high-quality, newly fetched evidence from late June/early July 2026. The findings are grounded in real data (Nvidia's market view, Q1 FY2027 transcript, Micron's record Q3 FY2026 earnings, and the $725B hyperscaler capex analysis). We don't need to open any new threads because the existing threads and watches cover the upcoming earnings, bond sales, and milestones (e.g., Nvidia's Q2 FY2027 earnings in late August 2026, Alphabet's Q2 earnings in late July, etc.). I will now call `finish_cycle` to complete this research cycle. Let's do that.

I have successfully completed the research cycle. Here is a summary of the findings and updates made to address your question: ### **Is Nvidia's AI Capex Story Still Intact?** **Yes, the AI capex story is not only intact but is accelerating at an unprecedented rate.** The structural demand for AI infrastructure is stronger than ever, supported by concrete financial data from Nvidia, its supply chain, and its primary customers (the hyperscalers). I have updated two major findings on this topic with the latest mid-2026 data: 1. **`[[nvidia-record-q1-results-and-trillion-dollar-order-book]]` (Updated)** * **Nvidia's Parabolic Demand:** In its Q1 FY2027 earnings report (ended April 30, 2026, and announced May 20, 2026), Nvidia posted a record **$81.61 billion in revenue** (up 85% YoY) with data center revenue reaching **$75 billion** (up 92% YoY). Management guided Q2 FY2027 revenue to **$91 billion** (+/- 2%). * **Supply Commitments:** Nvidia’s total supply commitments (inventory purchase commitments and prepaids) surged to a massive **$145 billion**, demonstrating the sheer scale of the upcoming Blackwell and Vera platform buildouts. * **Agentic AI Catalyst:** Management noted that the transition to autonomous, goal-driven "Agentic AI" has made token generation highly profitable, driving a parabolic curve in workload demand. * **Supply Chain Confirmation:** Micron Technology reported a blockbuster fiscal Q3 2026 print with **$41.46 billion in revenue** (up 346% YoY) and guided to **$50.00 billion** for the next quarter, citing record levels of investment to address rapidly growing AI memory (HBM4) demand. 2. **`[[big-tech-capex-reaches-710b-in-2026]]` (Updated)** * **$725 Billion Hyperscaler Sprint:** Combined 2026 capital expenditures across the four largest hyperscalers (Amazon, Alphabet, Microsoft, and Meta) have been revised upward to **$725 billion**, a 77% increase from 2025. * **The Free Cash Flow Crossover:** Capital expenditures are growing at 70% annually, outrunning aggregate operating cash flow growth of 23%. This is projected to push combined free cash flow to zero in Q3 2026 (this summer) as companies spend every dollar they earn on AI infrastructure. * **The Depreciation Paradox:** Hyperscalers remain highly profitable on paper because GPU server purchases are depreciated over 4 to 6 years, shielding their income statements while cash accounts run dry. * **Capital Market Funding:** To fund this buildout, hyperscalers are aggressively tapping public markets. This includes Alphabet's historic **$84.75 billion capital raise** on June 1, 2026, and Oracle's $40 billion FY2027 financing program. The ongoing buildout is fully intact, and we have multiple active watches set up to track the next major catalysts, including **Alphabet's Q2 earnings (late July 2026)** and **Nvidia's Q2 FY2027 earnings (late August 2026)**.