To The Moon

$Alphabet(GOOG)$ $Microsoft(MSFT)$ $NVIDIA(NVDA)$ 📈🚀 $GOOG AI Infrastructure Breakout Amid Tariff Shock: Capital Cycle Shift Now Pricing In 🚀📈 Alphabet just delivered one of the strongest sessions of 2026, pushing toward $316 after a sharp intraday expansion 📊⚡️ I do not view this as momentum chasing. I see the market beginning to price a structural transition in compute economics 🧠💻 The critical shift is vertical ownership 🔧 Google is moving from being a large buyer of external AI compute toward controlling the stack from TPU silicon through inference delivery and enterprise distribution 🧩🏗️ That transition changes margin architecture. Every reduction in cost per compute unit compounds through Cloud profitability ☁️📈, advertising optimisation efficiency 🎯 and AI product monetisation 🤖💰 Core catalyst developing: • Advanced discussions around a ~$100M investment into Fluidstack at roughly a $7.5B valuation reported by WSJ 📰 • Strategic objective is rapid global expansion of GPU and AI capacity without waiting for internal data centre build timelines 🌍⚙️ • Hybrid capacity model accelerates enterprise onboarding and reduces deployment friction 🚀 This is no longer an innovation race alone. It is a provisioning and cost efficiency race ⚔️📡 Options flow confirms institutional positioning rather than speculation: • More than $12M in single-leg call sweeps across near-term expiries 🧾🔥 • Implied volatility expansion paired with directional delta exposure 📊 • Evidence of conviction accumulation 🏦 Relative positioning also matters. Microsoft remains significantly negative year to date 📉, reflecting multiple compression after heavy forward AI investment pulled expectations ahead of realised returns. These divergences often occur early in capital cycles before earnings power re-aligns. 🇺🇸 Macro and Policy Transmission 🌐⚖️ The Supreme Court decision overturning sweeping tariff authority injected immediate relief into equities 📈, yet the policy path remains uncertain after Trump signalled potential alternative global tariffs near 10 percent. For AI infrastructure, tariffs transmit directly into: • Semiconductor hardware costs 🧱 • Networking equipment pricing 🔌 • Cross-border data centre deployment economics 🌎 Mega-cap balance sheets convert volatility into strategic advantage 💼 Smaller AI competitors lack the capital depth to absorb supply shocks or finance rapid capacity expansion. Fundamental metrics I am watching closely: • Cloud revenue growth relative to capex trajectory ☁️📊 • TPU deployment scale versus external GPU reliance 🧠⚙️ • Compute cost per inference trend 📉 • Monetisation yield per enterprise AI workload 💰 • Procurement timelines under potential trade friction ⏱️ Scenario framework: Base case: gradual cloud margin expansion as internal silicon reduces dependency costs 📈 Bull case: meaningful compute cost compression drives earnings revisions above consensus 🚀 Risk case: capex intensity expands faster than revenue realisation, delaying return on investment ⚠️ My core thesis: Alphabet is attempting to transition from AI demand participant to AI infrastructure owner 🏗️ If execution succeeds, earnings power is likely understated relative to current expectations. The price action may represent early recognition of a multi-quarter capital reallocation narrative rather than a short-term rally. 📢 Don’t miss out! Like, Repost and Follow me for exclusive setups, cutting-edge trends, and insights that move markets 🚀📈 I’m obsessed with hunting down the next big movers and sharing strategies that crush it. Let’s outsmart the market and stack those gains together! 🍀 Trade like a boss! Happy trading ahead, Cheers BC ☕️📊