#Amazon3TrillionClub

🔴 I love this. Throwback FinTwit moment discussing single names. 🔴 I’ll just show you guys my numbers for $AMZN to make my point. 🔘 Backlog mix to labs overstates their reality bc of duration (OpenAI is $138B but over 8yrs, ramping over time, all committed). 🔘 Lab IaaS is lower gross margin but long-term and very low incremental opex, so converts at reasonable mid-high 30s EBIT and low-mid teen ROIC. Fine, not amazing. 🔘 Bedrock (token inference and agent platform) is what really matters for AWS. Bedrock is growing faster, will dwarf lab IaaS over time, at much higher margin (see thread below this on Bedrock). 🔘 Core enterprise workloads continue to grow at high margins, more On Demand mix here so understated in backlog/RPO. 🔘 See my AWS forecast below. Lab IaaS peaks at mid-teens % of AWS EBIT as contracted GW is delivered 2026-2028, before declining to HSD. 🔘 Total AWS is driven by enterprise and bedrock, with rising margins and trending towards Jassys vision of a $1T business in the early 2030s (at ~40% EBIT). 🔘 A final word: As enterprise demand ramps, I actually think the clouds negotiating power vs labs is increasing, bc the labs have more competition for the incremental GW. Clouds will have higher Rev/GW from enterprise and therefore I suspect more lab infra will be Neo/Colo/insourced, and what they buy from clouds will actually see prices go UP (this is in fact what is happening today). #DailyOrbit

Amazon ($AMZN) has officially joined the $3 trillion market cap club, becoming just the fifth company to reach this milestone alongside Nvidia, Microsoft, Apple, and Alphabet. The rally reflects more than investor optimism—it highlights how the AI investment cycle continues to accelerate. 🔹 AWS delivered 37% YoY revenue growth, its fastest pace in over four years and well ahead of expectations. 🔹 Amazon also raised its 2026 capital expenditure plan to around $220 billion, with most of that spending directed toward AI infrastructure, hyperscale data centers, advanced GPUs, and expanding cloud capacity to meet soaring enterprise AI demand. Another major catalyst is AWS strengthening partnerships with OpenAI, Anthropic, and other leading AI developers, reinforcing its position as one of the world's premier platforms for training and deploying large AI models. 📈 The impact extends well beyond Amazon. Companies positioned to benefit from this AI spending wave include: • $NVDA – AI GPUs and accelerators • $MSFT – Azure and OpenAI ecosystem • $GOOGL – Google Cloud AI services • $ORCL – Enterprise AI infrastructure • $SKHYNIX – High Bandwidth Memory (HBM) • $SNDK – High-performance storage solutions Amazon crossing the $3 trillion mark is more than a valuation milestone—it signals that the AI infrastructure boom is still gaining momentum. As Big Tech continues ramping up AI investment, cloud providers, semiconductor companies, and AI infrastructure leaders remain well positioned to benefit from the next phase of global capital allocation. Follow for daily insights on Crypto, AI, and Wall Street. #Amazon #AI #AWS #ArtificialIntelligence #CloudComputing #BigTech #WallStreet #Stocks #Investing #Semiconductors #Nvidia #OpenAI #Crypto#FedSplitGoesPublic #MSTRSells1638BTC #ISMBeatYieldsFall

Amazon Joins the $3 Trillion Club: AI Is Fueling Wall Street's Next Growth Wave Amazon ($AMZN) has officially surpassed a $3 trillion market capitalization, becoming only the fifth company in history to reach this milestone, joining $NVDA, $MSFT, $AAPL, and $GOOGL. The stock has surged nearly 27% in just three trading sessions, reflecting Wall Street's growing confidence in the company's AI-driven expansion. The biggest catalyst was AWS posting 37% year-over-year revenue growth, its fastest pace in more than four years and well above market expectations. At the same time, Amazon raised its 2026 capital expenditure plan to roughly $220 billion, with the majority of that investment directed toward AI infrastructure, hyperscale data centers, advanced GPUs, and cloud computing capacity to meet surging enterprise AI demand. Another key development is Amazon's continued expansion of partnerships with OpenAI, Anthropic, and other leading AI companies. AWS is rapidly becoming a preferred platform for training and deploying large AI models, positioning Amazon at the center of the global AI infrastructure race. The momentum is creating a powerful ripple effect across the AI supply chain. Companies expected to benefit directly include $NVDA through AI GPUs, $MSFT with Azure and OpenAI, $GOOGL via Google Cloud, $ORCL through enterprise AI infrastructure, and memory leaders $SKHYNIX and $SNDK, as demand for HBM and high-performance storage continues to accelerate. Amazon's entry into the $3 trillion club is more than a valuation milestone—it reinforces the view that the AI investment cycle is still in its early stages. As Big Tech continues to increase AI spending, semiconductor, cloud infrastructure, and AI-related stocks are likely to remain among the strongest beneficiaries of global capital flows in the coming quarters. Follow me for daily insights and discussions on the latest developments across the Crypto and Wall Street markets. #Amazon3TrillionClub #KoreaETFVolDown90 #ISMBeatYieldsFall $SNDK $SKHYNIX

🚨 WARNING: $GOOGL JUST CRACKED THE ENTIRE AI SECTOR Google has dumped over 20% in a few days and this is honestly insane. 1. Google spends money on AI. 2. Investors now worry about AI spending. 3. Google crashes. However, Google isn't the only company spending huge amounts on AI. And it's far from the most overvalued company... Which means, the companies spending the most will likely suffer even more. This could get really ugly.

🚨 This headline is only half the story. Microsoft did move higher after hours. $XMSFT on OKX was reported around 427.45 USDT, up 8.18% over 24 hours, showing strong market reaction. But the narrative around "cutting capital expenditure" needs more context. The key point: Microsoft is not suddenly reducing AI investment. Management indicated that the broader investment strategy remains unchanged, while the reported ~$175B figure is largely related to accounting treatment around data center leasing. What investors are really rewarding is the strength of the business: 💰 Quarterly revenue: ~$90B 📊 Above expectations of ~$87.62B The market is repricing Microsoft based on stronger-than-expected AI and cloud monetization. $XMSFT has already touched 428.98. Holding above 420 after the open would suggest momentum remains strong. ⚠️ If price loses 405, it could signal that the after-hours excitement is fading. Remember: Chasing headlines is not research. Wait for confirmation through price action and volume. $BTC $ETH $SNDK #30YYieldAt19YHigh #AMZNMissesButRallies #MSFT450BInADay

🚨 NVIDIA CEO JENSEN HUANG IS SHOWING EXACTLY WHERE THE AI MONEY IS GOING NVIDIA HAS ANNOUNCED MORE THAN $61 BILLION IN COMMITMENTS ACROSS 11 COMPANIES: → OPENAI — $30 BILLION → ANTHROPIC — UP TO $10 BILLION → SAFE SUPERINTELLIGENCE — $5 BILLION → CORNING ($GLW) — UP TO $3.2 BILLION → IREN — UP TO $2.1 BILLION → MARVELL ($MRVL) — $2 BILLION → LUMENTUM ($LITE) — $2 BILLION → COHERENT ($COHR) — $2 BILLION → COREWEAVE ($CRWV) — $2 BILLION → NEBIUS ($NBIS) — $2 BILLION → NAVER — $1 BILLION JENSEN IS NOT PREDICTING WHERE AI GOES NEXT HE IS FUNDING IT

🚀 Amazon's latest milestone highlights how AI is reshaping the company's growth story. Amazon has crossed the $3 trillion market capitalization mark, joining a small group of the world's most valuable companies. More importantly, recent investor enthusiasm has been driven by the strength of its cloud business rather than its traditional retail operations. AWS delivered another strong quarter, with robust year-over-year revenue growth that reinforced the view that enterprise demand for AI infrastructure remains healthy. The results have helped ease concerns that Amazon's aggressive AI spending would take too long to generate meaningful returns. Management also increased its expected capital investment for the year, signaling continued confidence in expanding AI and cloud infrastructure. Instead of viewing higher spending as a negative, many investors now see it as a long-term investment aimed at capturing future demand. If AI adoption continues to accelerate across industries, Amazon's cloud business could remain one of the company's strongest growth engines in the years ahead. This post reflects market observations only and should not be considered investment advice. Always conduct your own research before making financial decisions. $AMZN $SNDK $SKHYNIX #Amazon #AI #AWS #CloudComputing #TechStocks #Investing

🚨 Google Is Making a Bigger AI Bet—And It's Not Just About Models The AI race is no longer just about building the smartest model. It's becoming a battle for infrastructure. Reports suggest Google is supporting AI data center projects through billions of dollars in financing and debt-backed arrangements, potentially securing around a 20% equity stake in return. Rather than simply renting computing capacity, Google is positioning itself within the infrastructure that powers the next generation of AI. ⚡ Why this matters: • Computing power is becoming one of AI's scarcest resources. • Demand for advanced chips, electricity, and data centers continues to surge. • Owning part of the infrastructure can provide long-term strategic advantages. • Companies that secure compute early may be better positioned as AI adoption accelerates. The AI race is evolving. Success may depend not only on better models, but also on who controls the hardware, energy, and computing capacity behind them. As AI infrastructure expands, companies across semiconductors, cloud computing, and data centers could remain at the center of the next wave of innovation. #AI #Google #DataCenters #CloudComputing #Semiconductors #BTC #GOOGL #MU #DailyOrbit

And then there were three. Amazon has completed a $50B investment in OpenAI, joining Microsoft and Nvidia in bankrolling the same company, the third hyperscaler to write an enormous check to the AI lab they all also want as a customer. The question in the topic, bet or bubble, is exactly the right one. Here's the pattern I keep coming back to. When every dominant infrastructure player funds the same demand center, the AI-capex boom starts to look partly self-referential, capital circulating between a handful of giants who are simultaneously each other's suppliers, customers and investors. That can be genuine conviction in a generational technology, and it can concentrate risk in ways that end badly if end-demand disappoints. Both are live. For crypto, it's the same infrastructure story it's tethered to, validated and stress-tested at once. Impressive scale, real fragility. Watching the returns, not just the checks. Not advice, just analysis. #AmazonInvestsOpenAI #OKXOrbit

1) I love this. Throwback FinTwit moment discussing single names. 2) I’ll just show you guys my numbers for $AMZN to make my point. - Backlog mix to labs overstates their reality bc of duration (OpenAI is $138B but over 8yrs, ramping over time, all committed). - Lab IaaS is lower gross margin but long-term and very low incremental opex, so converts at reasonable mid-high 30s EBIT and low-mid teen ROIC. Fine, not amazing. - Bedrock (token inference and agent platform) is what really matters for AWS. Bedrock is growing faster, will dwarf lab IaaS over time, at much higher margin (see thread below this on Bedrock). - Core enterprise workloads continue to grow at high margins, more On Demand mix here so understated in backlog/RPO. - See my AWS forecast below. Lab IaaS peaks at mid-teens % of AWS EBIT as contracted GW is delivered 2026-2028, before declining to HSD. - Total AWS is driven by enterprise and bedrock, with rising margins and trending towards Jassys vision of a $1T business in the early 2030s (at ~40% EBIT). - A final word: As enterprise demand ramps, I actually think the clouds negotiating power vs labs is increasing, bc the labs have more competition for the incremental GW. Clouds will have higher Rev/GW from enterprise and therefore I suspect more lab infra will be Neo/Colo/insourced, and what they buy from clouds will actually see prices go UP (this is in fact what is happening today).