Cycle on Aug 8, 2026

I will start by listing the current open threads and watches for this topic to see what has been set up previously and if we have any active questions or catalysts to resolve.

I will query the public market data for Nvidia (NVDA) to get the latest financial metrics, revenue trajectory, valuation, and recent news. This will provide a solid quantitative foundation for analyzing if Nvidia's AI capex story remains intact.

The market view shows Nvidia is currently trading at a market cap of $5.30T. Its revenue for the latest quarter (ended April 30, 2026) was $81.61B, and it generated $48.59B in Free Cash Flow just in that single quarter. There's also some interesting news from August 7, 2026: "Vistra Q2 EBITDA Jumps 30% to $1.77B, Unveils $1B Helix Data Center Partnership with KKR, NVIDIA." Let's check this partnership out. Let's also search for recent news on "Nvidia AI capex story", "Nvidia Blackwell demand", "Nvidia revenue guidance", and "tech capex Q2 2026" or "tech capex August 2026" to see what has happened in the last month. We are in August 2026. The Q2 2026 earnings season for most of Big Tech (Alphabet, Microsoft, Meta, Amazon) has just concluded or is concluding. I should search for recent news on Big Tech's capex guidance from their Q2 2026 earnings calls. Let's do a web search.

Let's search for "Big Tech Q2 2026 earnings capex" or "Alphabet Microsoft Meta Amazon Q2 2026 capex" to see how the capex numbers are holding up. Let's do a search on Big Tech capex in Q2 2026 / late July 2026 / early August 2026. This is the exact period of time we are in (August 2026). Let's see if there are any specific articles on this.

Let's fetch some of these articles! First, `https://leverageshares.com/en-eu/insights/meta-q2-2026-earnings-ai-capex-turns-market-sentiment/` or `https://www.digitalapplied.com/blog/meta-q2-2026-earnings-ad-strength-capex-selloff`. Let's fetch `https://www.digitalapplied.com/blog/meta-q2-2026-earnings-ad-strength-capex-selloff`. It has a table comparing Meta, Alphabet, and Microsoft on Q2 2026 results. This is extremely valuable! Let's read it.

This is extremely detailed. Let's look at the other links in the article: - `https://www.digitalapplied.com/blog/alphabet-q2-2026-earnings-search-ads-ai-overviews` - `https://www.digitalapplied.com/blog/microsoft-fy26-q4-earnings-copilot-arr` - `https://www.digitalapplied.com/blog/ai-spending-forecasts-2026-gartner-idc-stanford-compiled` Let's fetch the Alphabet one and the Microsoft one, as well as searching for Amazon's Q2 2026 capex numbers. First, let's fetch the Microsoft FY26 Q4 (which corresponds to calendar Q2 2026) report and the Alphabet Q2 2026 report. Let's start with Microsoft.

Amazing. Now let's fetch the Alphabet Q2 2026 report to see Google's numbers. Let's do a search first to find the exact URL for Alphabet Q2 2026. Wait, we saw the URL in the Meta post: `https://www.digitalapplied.com/blog/alphabet-q2-2026-earnings-search-ads-ai-overviews`. Let's fetch it.

This is incredible data. Let's look at the numbers. Alphabet's Q2 2026 capex was $44.9 billion (roughly double the prior year), and they raised their full-year capex guidance to $195–205 billion! Meta's Q2 2026 capex was $31.1 billion, and they raised their full-year capex guidance to $130-145 billion! Microsoft's calendar-year 2026 capex plan is approximately $175 billion, and they guided Q1 FY27 (calendar Q3 2026) capex to "over $50 billion"! What about Amazon? Let's search for Amazon's Q2 2026 / full-year 2026 capex. In the LinkedIn post we saw: "Amazon Raises FY 26 Capex to $220 Billion ○ During its Q2 2026 earnings call, Amazon officially raised its full-year 2026 capital..." and in the nextwavesinsight article: "Amazon guided ~$200 billion in full-year 2026 capital expenditure...". Let's search for "Amazon" "capex" "Q2 2026" OR "220 billion" OR "200 billion" to confirm the exact numbers reported. Let's do a search.

Let's do a search on "Amazon Raises 2026 Capital Expenditure Outlook to $220 Billion" or "Amazon Q2 2026 capex" to verify the exact numbers and the reason behind the increase. Let's do a search.

This is outstanding! Let's fetch the `https://www.techtimes.com/articles/322572/20260731/aws-backlog-hits-496b-amazon-raises-ai-spend-220b-capacity-runs-short.htm` to get the exact quotes. It's a gold mine of data. It shows: - Amazon raised its 2026 capex guidance to $220B (from $200B). - The $20B increase is due to higher memory chip costs (HBM/DRAM). - AWS revenue grew 37% YoY to $42.2B (fastest growth rate in 18 quarters). - AWS backlog hit $496B, up $132B in a single quarter! - Andy Jassy said capacity won't meet demand through 2027. - Amazon's total net sales reached $200.6B, up 20% YoY. - Operating income rose 43% to $27.5B. - Q2 capex alone was $54.2B, up 68% YoY. Let's fetch `https://www.techtimes.com/articles/322572/20260731/aws-backlog-hits-496b-amazon-raises-ai-spend-220b-capacity-runs-short.htm` using `web_fetch`.

This is unbelievable! Let's examine the numbers again. The four major hyperscalers (Amazon, Microsoft, Google, Meta) are collectively projected to spend approximately $725 billion on AI infrastructure in 2026, up 77% from $410 billion in 2025. Let's see: - Amazon: $220 billion (raised from $200 billion due to memory costs, AWS backlog at $496 billion, AWS revenue at $42.2 billion, up 37% YoY) - Alphabet (Google): $195–205 billion (raised, Q2 capex was $44.9 billion, Google Cloud grew 82% to $24.8 billion, operating income tripled to $8.8 billion, cloud backlog at $514 billion) - Microsoft: ~$175 billion (calendar-year 2026 capex plan, Q1 FY27 capex guided to "over $50 billion", Q4 FY26 revenue was $90 billion, Azure grew 43% YoY and crossed $100 billion in annualized revenue, M365 Copilot passed 30 million paid seats) - Meta: $130–145 billion (raised floor to $130B from $125B, Q2 capex was $31.1 billion, ad revenue was $59.4 billion, up 27% YoY, FCF fell to $784M) Let's do some math on these capex budgets: Amazon ($220B) + Alphabet ($195-205B, let's say $200B) + Microsoft ($175B) + Meta ($130-145B, let's say $137.5B) = $732.5 billion. This is indeed over $700B, and very close to the $725B mentioned! Let's check our prior findings: - `big-tech-capex-reaches-710b-in-2026` says: "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog" - let's check what's in that note. Let's read our notes to see what we wrote previously, and then we can update them. Let's list the notes we have using `read_notes`. This will let us see the exact slugs and titles of our prior findings.

Let's see what is inside the `big-tech-capex-reaches-710b-in-2026` note. Wait, the actual note slug is `big-tech-capex-reaches-710b-in-2026`. Let's fetch it to see what its current content is, so we can refine and update it. Let's do a search or fetch for that note. Wait, we don't have a tool to fetch notes directly, but we can update it by writing a note with the same slug. Let's see if we can find its content or if we should just overwrite/update it based on our new findings. Wait, let's search our own history or check if there is any other way. Ah, we can see the preview of `big-tech-capex-reaches-710b-in-2026` is: "The artificial intelligence capital expenditure boom supporting NVIDIA Corporation (NVDA) is accelerating far beyond previous expectations as of August 2026. Rather than facing a cyclical slowdown or..." Let's search for "big-tech-capex-reaches-710b-in-2026" or similar to see if we can get more context. Actually, we can just write the note using the same slug `big-tech-capex-reaches-710b-in-2026` to update it with the Q2 2026 earnings results that have just been reported (between late July and early August 2026). Let's check if there are other threads we can resolve or events we can record. Let's look at the threads: 1. `019ed2f6-f136-7051-a5b0-fa3b26ec02e0`: "Track Nvidia's Q2 FY2027 earnings release (expected late August 2026) to verify if revenue meets or exceeds the guided $91 billion (+/- 2%) and if gross margins remain flat at ~75%." Wait! Nvidia's Q2 FY2027 earnings release has not happened yet (it's expected late August 2026; today is August 8, 2026). Wait, what about the other threads? 2. `019edd49-1ccb-73d3-9fc0-80ae266f32c4`: "Track Nebius's Q2 2026 earnings release to monitor the expected temporary margin dip and verify if full-year revenue remains on track for the $3B+ guidance." (Fire date: 2026-08-15, which is in a week, so not yet). 3. `019eb93f-9403-7dea-9c9e-9ac0765dd674`: "Monitor Meta's potential multi-billion dollar equity offering to fund its $125B–$145B AI capex budget, following Alphabet's $85B template." Let's check if Meta announced any equity offering in its Q2 2026 report. We read the Meta Q2 2026 report, which says: "Meta ended the quarter with $90.3 billion in cash and marketable securities against $83.7 billion in debt, after roughly $24.9 billion of net long-term debt issuance in the first half of 2026." It did not mention an equity offering, but rather debt issuance. Let's search if there are any updates on a Meta equity offering or if it is still a potential watch. 4. `019fb590-b4f8-783d-8602-79565a1f723c`: "Monitor Meta's progress on building and commercializing its own cloud infrastructure to sell or lease excess AI compute capacity to outside customers, following Mark Zuckerberg's hints during the Q2 2026 earnings call." Wait! The thread says "following Mark Zuckerberg's hints during the Q2 2026 earnings call". Did Mark Zuckerberg hint at this during the Q2 2026 call? Yes, the Q2 2026 call was on July 29, 2026. Let's search for "Meta cloud infrastructure" or "Meta compute leasing" or "Meta lease excess compute" to see if there is any more detail on this. 5. `019f9bd1-265c-7c53-ac9b-daf15136e97e`: "Track Google Cloud's Q3 2026 operating margin to verify if the bridging strategy of using third-party capacity puts downward pressure on the 35.6% operating margin achieved in Q2 2026." Wait, Q3 2026 results won't be reported until October 2026. 6. `019f9185-7240-73e6-897f-7a8c1b51e4a8`: "Monitor the official commencement and initial workload performance of Google's leased 110,000-GPU cluster at SpaceXAI's Colossus 2 data center, scheduled to begin in October 2026." (Fire date: October 2026). 7. `019f8c5c-970d-7ba8-a4f1-d61379b41103`: "Monitor Oracle's deployment of its planned 50,000-GPU Helios supercluster powered by AMD Instinct MI450/MI455X GPUs, which is expected to begin in Q3 2026." (Fire date: September 30, 2026). 8. `019fa61f-84e3-723a-a440-de2a98a99347`: "Monitor negotiations between Nvidia, OpenAI, and SoftBank's SB Energy regarding the $250 billion lease/debt guarantee and $350 billion chip purchase financing agreement for the 10-gigawatt Ohio data center campus." Let's search for this to see if there are any updates. 9. `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee`: "Monitor HBM (High Bandwidth Memory) component pricing, manufacturing yields, and supply bottlenecks (SK Hynix, Micron, Samsung) as a key driver of hyperscaler hardware procurement costs and potential margin pressure for Nvidia and its customers." Wait! The Amazon Q2 2026 report *explicitly* cited higher memory costs (HBM/DRAM) as the driver for its $20 billion capex raise to $220 billion! This is a massive event for this thread! Let's search for more details on this "memory crisis" or "HBM memory pricing" in July/August 2026 to see if this watch has fired or if we should record an event on it. Let's do a search.

This is a phenomenal article from Beth Kindig at IO Fund, published on August 4, 2026! "AI Capex to Hit $1 Trillion – And Estimates Are Still Too Low" Let's look at the key details from this article: 1. "JP Morgan and Goldman Sachs are now forecasting AI capex of $1 trillion or more in 2027, and trillions more in the coming years." 2. "Capex spending in the first half of 2026 already hit $301 billion across Microsoft, Meta, Amazon and Google, with updated guidance from the four pointing to annual capex of $732.5 billion this year." 3. "At $732.5 billion, 2026 capex growth would be 79% YoY, a 15 point acceleration from 2025, and notably 6.5X higher than early forecasts off a much larger base than was previously expected." 4. "Consensus capex forecasts for 2027 for Google, Amazon, Microsoft, and Meta total $934.5 billion. Google is expected to spend $284.8 billion, followed by Amazon at $256.5 billion, Microsoft at $207.6 billion, and Meta at $185.6 billion." 5. "Even after adding $20 billion to its capex outlook to account for rising memory costs, Amazon CEO Andy Jassy said AWS 'will still not have enough capacity to meet all the demand we have in 2026, and I believe this dynamic will also be true in 2027 too.' Similar to Microsoft, Amazon also expects to double its data center power capacity by the end of 2027 versus 2025 as capacity reservations for 2028 enter the mix." 6. "The memory boom is directly related to the higher capex we’re seeing in 2026 as memory content is rising 2X in AI systems and 4X next year, accounting for more than half of AI chip component costs." 7. "In 2026, spurred by increasing content in GPU systems and supply shortages driving prices significantly higher, the global memory market is forecast to hit $889.3 billion – or nearly 10X growth in just three years." Let's fetch the full article if possible, but the snippet is extremely high quality and has all the details. Let's see if we can read the full article by fetching `https://io-fund.com/ai-stocks/ai-capex-1-trillion-estimates-too-low`. Let's fetch it.

This is absolutely mind-blowing. Let's look at the facts and figures. The AI capex story is not only intact, but it is accelerating heavily into the second half of 2026! Let's trace the details: - **Big Tech Capex (Amazon, Alphabet/Google, Microsoft, Meta) in 2026**: - Combined 2026 capex guidance has now reached **$732.5 billion**, which is **79% year-over-year growth** from 2025. This represents a 15 percentage point acceleration from 2025's growth rate. - The first half of 2026 saw **$301 billion** in capex across these four companies. - The second half of 2026 is projected to see **$432 billion** in capex, showing that spending intensity is heavily back-half loaded. - These companies are now on track to spend **$934.5 billion** in 2027 based on consensus, and major banks like JP Morgan and Goldman Sachs are forecasting AI capex to surpass **$1.01 trillion in 2027**. Goldman Sachs forecasts **$7.6 trillion in cumulative AI capex** from 2026 to 2031. - **Why are they spending so much?** - **Demand outpaces capacity**: Every major hyperscaler reported that demand for AI services continues to outstrip their available infrastructure capacity. - **Amazon (AWS)**: Raised its 2026 cash capex guidance to **$220 billion** (up from $200 billion) during its Q2 earnings call on July 30, 2026. CEO Andy Jassy noted that even with this spend, AWS will not have enough capacity to meet demand in 2026 or 2027, and described 2028 demand as "striking." AWS reported a **$496 billion remaining performance obligation (RPO) backlog** (up $132 billion in a single quarter), and AWS revenue grew 37% YoY to $42.2 billion. - **Alphabet (Google)**: Raised its 2026 capex guidance to **$195–205 billion** (Q2 capex was $44.9 billion, double the prior year). Google Cloud revenue grew 82% YoY to $24.8 billion with its backlog reaching $514 billion. - **Microsoft**: CY2026 capex plan is **~$175 billion**, with Q1 FY27 (calendar Q3 2026) capex guided to **"over $50 billion."** Azure revenue grew 43% YoY and crossed $100 billion in annualized revenue. - **Meta**: Narrowed its 2026 capex guidance to **$130–145 billion** (raising the floor by $5B). Q2 capex was $31.1 billion. - **The Memory Crisis / Input Cost Inflation**: - A key driver of the capex increase is the **surge in memory chip costs (HBM and DRAM)**. - Amazon explicitly attributed its $20 billion capex raise (from $200B to $220B) to **higher memory costs**. - Google's Pixel 11 release and other consumer tech are also facing price hikes due to memory costs. Stocktwits reports a **sixfold increase in RAM prices** (from $2.80/GB in 2025 to $12/GB in 2026 based on Morgan Stanley data). - The global memory market is forecast to hit **$889.3 billion in 2026** (nearly 10X growth in three years from $89.9B in 2023) and is projected to reach **$1.28 trillion in 2027**. - HBM (High Bandwidth Memory) is rising from less than 5% of DRAM revenue in 2022 to over 30% in 2026, and is expected to exceed 40% by Q4 2026. Combined memory industry capex is expected to exceed $65 billion in 2026, with Samsung and Micron investing heavily. Let's check our prior findings and see which ones we should update. The prior finding `big-tech-capex-reaches-710b-in-2026` has the title "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog" (Wait, let's look at the title in the kickoff message: "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog" and slug `big-tech-capex-reaches-710b-in-2026`). Let's update `big-tech-capex-reaches-710b-in-2026` to reflect the latest Q2 2026 earnings season data (reported in late July/early August 2026), including the specific figures from Amazon, Alphabet, Microsoft, and Meta, the 1H/2H split, and the $1 trillion 2027 forecast. Let's also check if we should update `nvidia-record-q1-results-and-trillion-dollar-order-book` or `gpu-specialized-clouds-and-strategic-co-investment` or `custom-silicon-and-datacenter-hardware-competition`. Wait, let's look at `custom-silicon-and-datacenter-hardware-competition`. It discusses Custom Silicon and Data Center Hardware Competition. In the latest Q2 2026 reports: - Amazon's **Trainium3** (3nm, TSMC) and **Graviton5** are showing spectacular results. AWS operating margins expanded to 39.4% (up 650 bps YoY) despite the capex surge, which is "the clearest available evidence that Amazon's Trainium custom chip strategy is generating real financial results at scale." AWS's custom chip and AI services businesses each crossed $25 billion in annualized run rates. - This is a massive update for custom silicon competition! We can update `custom-silicon-and-datacenter-hardware-competition` with this evidence. Let's check if we can resolve any threads. 1. Thread `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee`: "Monitor HBM (High Bandwidth Memory) component pricing, manufacturing yields, and supply bottlenecks (SK Hynix, Micron, Samsung) as a key driver of hyperscaler hardware procurement costs and potential margin pressure for Nvidia and its customers." Wait, this is an ongoing thread. We can record an event on it! Let's call `record_event` to report that the watch fired, as Amazon explicitly raised its capex guidance by $20 billion due to memory costs, and memory costs have surged sixfold. Let's see: - Thread ID: `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee` - Cycle ID: `28a5184d-3851-4063-990a-a2ad8c799477` (Wait, let's extract the cycle ID from the Chat ID: `topic-019e95ad-bd47-7cf5-bd57-eb159d26bbbe-cycle-28a5184d-3851-4063-990a-a2ad8c799477`. Yes! The cycle ID is `28a5184d-3851-4063-990a-a2ad8c799477`). Let's call `record_event` on this thread first. Let's write down the call details.I will record an event on the ongoing watch `HBM Memory Component Pricing and Supply Bottlenecks` (Thread ID: `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee`) because Amazon's Q2 2026 earnings call on July 30, 2026, confirmed a massive $20 billion upward revision to its 2026 capex (to $220 billion) driven entirely by higher memory costs, and market data shows a sixfold increase in memory prices. This watch is ongoing, so I will set `resolves: false`.

This is perfect! Now let's see if there are other threads we should record events on. Wait, let's look at the thread list: - `019fb590-b4f8-783d-8602-79565a1f723c`: "Monitor Meta's progress on building and commercializing its own cloud infrastructure to sell or lease excess AI compute capacity to outside customers, following Mark Zuckerberg's hints during the Q2 2026 earnings call." Wait! The description says "following Mark Zuckerberg's hints during the Q2 2026 earnings call." Let's check if the watch has fired. The trigger says: "Fires when Meta officially launches or details its cloud infrastructure/compute leasing business for external customers." Our Q2 2026 Meta earnings call analysis says: "Meta is floating the idea of selling 'excess capacity' to third parties. However, the company still says 'our current plans are geared towards maximizing 2026 and 2027 capacity,' signaling that the firm does not expect to slow its spending in the near term." And Zuckerberg's framing was: "sell intelligence, not just compute." He argued margins will stay "significantly higher" on selling intelligence than on selling raw compute. Wait, did Meta officially launch or detail a cloud infrastructure/compute leasing business? No, they are just floating the idea or framing it, so this watch is not yet fully fired/resolved. It should remain open. Let's look at the other threads: - `019ed2f6-f136-7051-a5b0-fa3b26ec02e0`: "Track Nvidia's Q2 FY2027 earnings release (expected late August 2026)..." (Fire date: August 20, 2026). This is in the future. - `019edd49-1ccb-73d3-9fc0-80ae266f32c4`: "Track Nebius's Q2 2026 earnings release..." (Fire date: August 15, 2026). This is in the future. - `019f9bd1-265c-7c53-ac9b-daf15136e97e`: "Track Google Cloud's Q3 2026 operating margin..." (Fire date: October 25, 2026). This is in the future. - `019f9185-7240-73e6-897f-7a8c1b51e4a8`: "Monitor the official commencement and initial workload performance of Google's leased 110,000-GPU cluster..." (Fire date: October 15, 2026). This is in the future. - `019f8c5c-970d-7ba8-a4f1-d61379b41103`: "Monitor Oracle's deployment of its planned 50,000-GPU Helios supercluster..." (Fire date: September 30, 2026). This is in the future. Let's write a note to update our prior finding `big-tech-capex-reaches-710b-in-2026` with the latest Q2 2026 earnings data. Wait! Let's check the title of the finding we want to update: `big-tech-capex-reaches-710b-in-2026`. The title in the kickoff message is: "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog" (Wait, the title in the kickoff message says "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog", but the slug is `big-tech-capex-reaches-710b-in-2026`). Let's use `big-tech-capex-reaches-710b-in-2026` as the slug and write a beautifully detailed finding that details the $732.5 billion capex guidance for 2026, the $1 trillion 2027 threshold, the 1H vs 2H acceleration, the cloud backlogs, and how this keeps Nvidia's capex story fully intact. Let's design the note: - Title: `Big Tech's AI Capex Surpasses $730 Billion in 2026 on Track for $1 Trillion in 2027` (Wait, the previous title was "Big Tech's AI Capex Surpasses $860 Billion in 2026 Supported by a Staggering $2.3 Trillion Cloud Backlog". Let's check if we should keep the title similar or if we can make it more precise. Let's make it: "Big Tech's AI Capex Surpasses $730 Billion in 2026 on Track for $1 Trillion in 2027 Supported by Ballooning Cloud Backlogs") - Content: - Discuss the Q2 2026 earnings season results (reported late July/early August 2026). - Give the combined 2026 capex guidance of **$732.5 billion** across the Big Four (Amazon, Alphabet, Microsoft, Meta), up 79% YoY (a 15-point acceleration from 2025). - Break down the 1H ($301B) vs 2H ($432B) spending intensity. - Detail each company's Q2 2026 print and updated 2026 capex guidance: - **Amazon**: Raised to $220B (from $200B) due to memory cost inflation. AWS revenue grew 37% YoY to $42.2B, with a $496B RPO backlog (up $132B in Q2 alone!). Andy Jassy stated AWS will not have enough capacity to meet demand in 2026 or 2027. - **Alphabet**: Raised to $195–205B. Q2 capex doubled YoY to $44.9B. Google Cloud grew 82% YoY to $24.8B, with backlog at $514B and operating income tripling to $8.8B. - **Microsoft**: CY2026 capex plan at ~$175B (Q1 FY27 guided to over $50B). Azure grew 43% YoY and crossed $100B in annualized revenue. - **Meta**: Narrowed to $130–145B (floor raised by $5B). Q2 capex was $31.1B. - Discuss the 2027 consensus of **$934.5 billion** and major bank forecasts (Goldman Sachs, JP Morgan) pointing to **$1.01 trillion in 2027** and **$7.6 trillion in cumulative AI capex** from 2026 to 2031. - Discuss how this massive demand and capacity shortfall fully secures Nvidia's Blackwell and Vera Rubin product cycles, with analyst estimates for Nvidia's next fiscal year revenue now soaring to $561.5 billion. - Ground the quantitative claims in the market views of NVDA and cite them. - Cite the sources: IO Fund (Beth Kindig), TechTimes, Digital Applied, etc. Let's write this note using `write_note`. Let's write it out. I will make sure it has exactly the right slug: `big-tech-capex-reaches-710b-in-2026`.I will write a finding to update our prior note on Big Tech's capex (`big-tech-capex-reaches-710b-in-2026`). This update integrates the definitive results from the Q2 2026 earnings season reported in late July and early August 2026, showcasing that the AI capex story is not only intact but accelerating, with a combined 2026 spending forecast of $732.5 billion and the $1 trillion threshold in sight for 2027.

This is fantastic! The capex note has been updated. Now, let's look at `custom-silicon-and-datacenter-hardware-competition`. The preview of `custom-silicon-and-datacenter-hardware-competition` says: "While Nvidia's near-to-mid-term artificial intelligence infrastructure demand remains exceptionally robust (see [[nvidia-record-q1-results-and-trillion-dollar-order-book]]), the long-term competitive..." Let's see: what has happened with custom silicon in Q2 2026? 1. **Amazon Trainium3**: Manufactured on TSMC's 3nm process. A full 144-chip UltraServer delivers 362 MXFP8 petaflops of aggregate compute, matching Nvidia's Blackwell NVL72 at rack scale at roughly 50% lower total cost of ownership (TCO). It uses NeuronLink-v4 and NeuronSwitch-v1 switched fabric. 2. **AWS's Custom Silicon Run Rate**: Andy Jassy disclosed that AWS's custom chip business and AI services business each crossed **$25 billion** in annualized revenue run rates in Q2 2026, growing at triple-digit year-over-year rates. Leading AI labs like Anthropic and OpenAI have made multi-year, multi-gigawatt capacity commitments on Trainium. 3. **AWS Graviton5**: Released to general availability in Q2 2026, delivering 30-40% better price-performance than comparable instances and 25% better compute performance than Graviton4. It is used by 98% of the top 1,000 EC2 customers and is growing twice as fast as Graviton4 did. This is a massive development for the custom silicon space, showing that AWS is successfully establishing a parallel silicon ecosystem (Trainium/Graviton) that bypasses Nvidia and generates tens of billions of dollars in run rate. However, software friction (the Neuron SDK vs. Nvidia's CUDA) remains a key barrier to mass migration, which is why Nvidia's dominance remains unchallenged for general workloads. Let's update the `custom-silicon-and-datacenter-hardware-competition` note with this incredibly rich, updated dataset! Let's write the note. I will use the slug `custom-silicon-and-datacenter-hardware-competition`. I'll structure it beautifully.

This is absolutely beautiful! Let's review if we have any other notes to write or update, or if we should record any other events/watches. Wait, let's review the threads/watches: - We have recorded an event on thread `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee` (HBM Memory Component Pricing and Supply Bottlenecks). - We have updated two notes: `big-tech-capex-reaches-710b-in-2026` and `custom-silicon-and-datacenter-hardware-competition`. Wait, let's check if there are any other threads we can resolve or if we should record any new watches. Let's see: Is there a watch we should record? We have a watch on `Nvidia Q2 FY2027 Earnings Release` (Thread ID: `019ed2f6-f136-7051-a5b0-fa3b26ec02e0`). The fire date is August 20, 2026, which is in the future. What about a watch on the $1 trillion 2027 capex milestone? We can register a watch for when Big Tech's combined capex officially crosses $1 trillion, or when 2027 guidance is updated. Wait, let's look at the existing watches: - `019fd9a1-6885-789f-94ab-620d5c3fc1d5`: Alphabet $40B At-the-Market (ATM) Stock Program Execution - `019ef70b-6b49-7831-893f-6d78e9b2099e`: Oracle $40B Debt and Equity Financing Plan for FY2027 - `019eb93f-9403-7dea-9c9e-9ac0765dd674`: Meta Platforms potential equity raise announcement and pricing Wait! Let's check if there's any other thread we can resolve. Let's list the threads again or see if we can close any. None of the other threads can be resolved because they are dated in the future or are ongoing watches that haven't fully fired. Let's double check if we can record a new watch. What about a watch on the global memory market hitting $1.28 trillion in 2027? Or a watch on the combined capex of the Big Four crossing $1 trillion in 2027? Let's record a watch on the Big Four combined capex crossing $1 trillion in 2027. - Title: `Big Four Combined AI Capex Crosses $1 Trillion` - Cardinality: `one_shot` - Watch type: `metric_threshold` - Topic ID: `019e95ad-bd47-7cf5-bd57-eb159d26bbbe` - Cycle ID: `28a5184d-3851-4063-990a-a2ad8c799477` - Metric: `combined_capex` - Op: `>` - Threshold: `1000` (in billions, i.e., $1 trillion) - Note: `Fires when the combined capital expenditures of Amazon, Alphabet, Microsoft, and Meta for a fiscal year officially cross $1 trillion, or when consensus forecasts for 2027 cross $1 trillion.` Let's register this watch. I will call `record_watch`.I will register a new watch (`Big Four Combined AI Capex Crosses $1 Trillion`) to track when the combined annual capex of the Big Four (Amazon, Alphabet, Microsoft, Meta) officially crosses the $1 trillion threshold, which is currently projected for 2027. This is a `one_shot` watch of type `metric_threshold`.

This is outstanding! Let's see if there is anything else to do. We have: 1. Checked existing threads and watches. 2. Pulled the NVDA market view, getting the authoritative figures as of August 8, 2026. 3. Searched and fetched the latest reports for Amazon, Alphabet, Microsoft, and Meta's Q2 2026 earnings, which concluded in late July / early August 2026. 4. Extracted the quantitative facts: - Combined 2026 capex guidance of $732.5 billion (up 79% YoY). - 1H capex of $301 billion vs 2H projected capex of $432 billion. - Amazon's capex raised to $220 billion due to memory cost inflation. - AWS backlog jumping $132 billion in Q2 to $496 billion. - Google's capex raised to $195-205 billion, Google Cloud backlog at $514 billion. - Microsoft's CY2026 capex at ~$175 billion, Q1 FY27 guided to >$50 billion. - Meta's capex guidance narrowed to $130-145 billion. - Memory prices surging sixfold from $2.80/GB to $12/GB. - AWS's custom chip and AI services run rates hitting $25 billion each, and Trainium3 matching Blackwell NVL72 at 50% lower TCO. 5. Recorded a major event on the ongoing memory watch (`HBM Memory Component Pricing and Supply Bottlenecks`). 6. Registered a new watch tracking the $1 trillion combined capex milestone. 7. Updated two core findings: - `big-tech-capex-reaches-710b-in-2026` (Big Tech's AI Capex Surpasses $730 Billion in 2026 on Track for $1 Trillion in 2027 Supported by Ballooning Cloud Backlogs) - `custom-silicon-and-datacenter-hardware-competition` (Custom Silicon and Data Center Hardware Competition Escalates as Amazon's Custom Chip Run Rate Hits $25 Billion) 8. Wikilinked the findings as instructed (`[[big-tech-capex-reaches-710b-in-2026]]` in `custom-silicon-and-datacenter-hardware-competition`). Let's double check if there are any other files to read or edit. No files are mentioned in this workflow, as we are working with the research database via API. Let's call `finish_cycle` to end this highly productive cycle. I will write a concise summary of our findings in the final message.

I have successfully completed the research cycle for topic **019e95ad-bd47-7cf5-bd57-eb159d26bbbe** ("Is Nvidia's AI capex story still intact?"). ### Executive Summary of Findings Nvidia's AI capex story is not only intact; it is **accelerating aggressively** into the second half of 2026. The Q2 2026 earnings season (concluding in late July and early August 2026) delivered definitive proof of an unprecedented infrastructure buildout that shows no signs of cyclical slowing. Here is what the evidence from the latest quarterly reports reveals: 1. **Combined Capex Reaches $732.5 Billion**: The Big Four hyperscalers (Amazon, Alphabet, Microsoft, and Meta) have updated their combined 2026 capital expenditure guidance to **$732.5 billion**, representing a massive **79% year-over-year growth** rate. This is a 15-percentage-point acceleration from 2025's growth rate and is heavily back-half loaded (1H 2026 capex was $301 billion; 2H 2026 is projected to reach **$432 billion**). 2. **On Track for $1 Trillion in 2027**: Consensus forecasts for 2027 now stand at $934.5 billion, and major investment banks (Goldman Sachs, JP Morgan) expect annual AI capex to surpass **$1.01 trillion in 2027**. Goldman Sachs projects a cumulative **$7.6 trillion in AI capex between 2026 and 2031**. 3. **Severe Capacity Shortfalls & Staggering Backlogs**: * **Amazon (AWS)** raised its 2026 cash capex guidance to **$220 billion** (up from $200 billion). Despite this, CEO Andy Jassy stated AWS will still not have enough capacity to meet demand in 2026 or 2027, and described 2028 demand as "striking." AWS's remaining performance obligations (RPO) backlog surged by **$132 billion in a single quarter** to **$496 billion** (nearly 3x its annualized revenue rate). * **Alphabet (Google)** raised its 2026 capex guidance to **$195–205 billion** (Q2 capex doubled YoY to $44.9 billion). Google Cloud revenue accelerated 82% YoY to $24.8 billion, with its backlog reaching **$514 billion**. * **Microsoft**'s calendar 2026 capex plan is **~$175 billion** (Q1 FY27 guided to "over $50 billion"), with Azure growing 43% YoY and crossing $100 billion in annualized revenue. * **Meta** narrowed its 2026 capex guidance to **$130–145 billion** (raising the floor by $5 billion) to maximize 2026 and 2027 capacity. 4. **The "Memory Crisis" Cost Inflation**: A key driver of the capex increase is a **sixfold surge in memory chip prices** (HBM and DRAM), with 1 GB of RAM climbing from $2.80 in 2025 to $12 in 2026. This has pushed the global memory market to a projected **$889.3 billion in 2026** (nearly 10X growth from 2023). This input cost inflation was the explicit driver of Amazon's $20 billion capex raise. 5. **Custom Silicon Commercialization**: AWS's custom silicon portfolio is scaling rapidly. Jassy disclosed that **AWS's custom chip and AI services businesses have each crossed a $25 billion annualized revenue run rate**. Its TSMC 3nm-based **Trainium3** matches Nvidia's Blackwell NVL72 at rack scale for a **50% lower total cost of ownership (TCO)**, helping expand AWS operating margins by 650 bps YoY to **39.4%**. However, software friction (the Neuron SDK vs. Nvidia's CUDA) keeps Nvidia's moat secure for general workloads. ### Actions Taken This Cycle * **Updated Finding `big-tech-capex-reaches-710b-in-2026`**: Fully updated with the Q2 2026 earnings season data, detailing the $732.5B combined 2026 guidance, the 1H/2H split, specific hyperscaler backlogs, and memory cost inflation. * **Updated Finding `custom-silicon-and-datacenter-hardware-competition`**: Integrated AWS's $25B custom chip run rate, Trainium3 TSMC 3nm specifications, Graviton5 adoption, and the Neuron SDK vs. CUDA software friction. * **Recorded Event on Watch `019fbaba-2a7b-7e80-b885-9f29c3a7f0ee`**: Logged that the ongoing watch on *HBM Memory Component Pricing and Supply Bottlenecks* fired, citing Amazon's $20B capex hike and the sixfold increase in memory prices. * **Registered New Watch `019fdec4-d33e-71ad-9fbb-4410292d9599`**: Set up a `one_shot` threshold watch to track when the combined annual capex of the Big Four officially crosses the $1 trillion mark.