Its all to expensive anyway

Buy the dip. Hard to time the market. What pays off is time in the market.  Any day, there can be news or just a tweet. Then the market will rocket up again.

A 3.6% pullback in NVIDIA is hardly unusual after its massive run. The key question is whether the investment thesis has changed. So far, AI infrastructure spending remains strong, hyperscalers continue investing aggressively, and TSMC's demand commentary suggests the underlying trend is intact. That said, I would not rush to chase every dip. Geopolitical tensions can create further volatility, and semiconductor stocks have become crowded trades. A deeper correction of 10-15% would offer a more attractive risk-reward profile than a routine 3-4% pullback. For long-term investors, gradual accumulation still makes sense. For those with limited cash, patience may be rewarded given stretched valuations and elevated market expectations. The AI compute story remains compelling, but sentiment can

All AI stocks are ass the point of even calling them "overvalued". They are basically sentiment factories. They are overvalued for the past 2 years. So the question is, are you going to stop trading? 

Read about Warren Buffet issued a stark warning. Better not to overpay for stocks.

🌟🌟🌟 $ARM Holdings(ARM)$ is the undisputed winner of the CPU war.  Why?  ARM designs the underlying architectural blueprint, licenses the instruction set and collects its licensing fees upfront. The consumer computing world is aggressively migrating to ARM architecture because the processing requirements for on-device local AI have pushed legacy x86 standards to their physical limits. ARM utilises Reduced Instruction Set Computer (RISC) architecture which breaks down software processing tasks into lean, hyper efficient instructions. ARM chips can deliver identical computing and Neural Processing Unit (NPU) speeds while consuming a fraction of the battery power. This makes ARM the mandatory choice for tech giants like Qualcomm, Apple and N

Good stock. Upward trend worth investing 

Let get it to earn together 

The 2026 U.S. IPO market may not just be reopening. It may be asked to do something much harder: price three of the most important private-market stories in the world. SpaceX is the infrastructure bet. OpenAI is the gateway bet. Anthropic is the enterprise workflow bet. They are not ordinary tech companies, nor are they just another wave of short-term excitement in the IPO market. Together, they may mark the first time public markets are being asked to price, all at once, the defining themes of the next decade: the Space Age, the AGI Age, and the Enterprise Intelligence Age. But from an investment perspective, the bigger the company, the more dangerous it is to ask only one question: “Is it great?” A great company and a great investment are always separated by one thing: price. The real qu

This "zero-cost validation" massively appeals to heavy industries trying to minimize capital expenditure risk before putting construction money to work

🚀 NVIDIA's Next Move Isn't About GPUs Anymore... It's About Owning the Entire AI Ecosystem Many investors still see NVIDIA as a "GPU company." I think that's becoming outdated. At Computex, Jensen Huang didn't just launch another chip. He revealed a strategy that attacks multiple trillion-dollar markets simultaneously: ✅ AI Datacenters (Blackwell, Rubin) ✅ AI Factories (DSX digital twin platform) ✅ Robotics & Autonomous Systems ✅ Enterprise AI Software ✅ AI PCs powered by NVIDIA silicon The most interesting development isn't the Windows PC itself. It's the idea that NVIDIA wants to become the operating system of the AI economy. Think about it: CUDA locks in developers DGX powers AI training Omniverse designs digital factories DSX simulates factories before construction AI PCs bring NVI

NVIDIA & Microsoft Just Declared War on Intel — Is the x86 Moat Finally Dead? The hardware landscape just experienced a seismic shift at Computex and the Microsoft Build conference. NVIDIA and Microsoft took the stage to unveil the first batch of Windows PCs powered natively by NVIDIA chips as their main processor, bypassing the traditional x86 architecture. Alongside this hardware pivot, Jensen Huang launched the NVIDIA DSX platform—a massive enterprise play allowing companies to simulate entire AI factories before spending a single dime on physical builds. This isn't just another product update; it is Microsoft's aggressive "second shot" at the AI PC market and a direct, existential strike at the desktop strongholds of Intel and AMD. Here is a breakdown of why this architectural war

At GTC Taipei 2026, NVIDIA rolled out more than a dozen major announcements. The lineup was broad: Vera, a data center CPU built for AI agents; RTX Spark, a platform for personal AI PCs; DGX Station for Windows, a desktop AI supercomputer for enterprises; new robotics foundation models; autonomous driving platforms; and a broader AI factory stack. This was not just a product launch. It felt more like Jensen Huang laying out NVIDIA’s roadmap for the next stage of AI. The first AI boom put NVIDIA at the center of AI compute. This new roadmap points to a bigger ambition: NVIDIA does not just want to sell GPUs into the AI cycle. It wants to become the infrastructure layer underpinning the next generation of AI applications. 1. Vera: A CPU Built for the Agent Era AI demand is moving from pure t

Yes, Intel and AMD can still hold most desktop dominance in the near term, but their moat is clearly weakening. NVIDIA’s threat is strongest in premium AI PCs, creator laptops, workstations, and developer machines, not ordinary office desktops yet. RTX Spark/Arm needs Windows software compatibility, OEM scale, pricing, battery proof, enterprise support, and gaming/app optimisation before it can truly replace x86 broadly.  For Intel, the risk is bigger: its desktop moat is already under pressure from weak execution, AMD competition, and ARM momentum. For AMD, the threat is less existential because it has stronger x86 performance credibility and can still ride AI PCs with Ryzen + Radeon/NPU. DSX is separate but important. It strengthens NVIDIA’s AI infrastructure ecosystem by helping bu

Last Week's Recap 1. Weekly Market Digest: S&P 500's 9-Week Run, PCE Inflation Hot, Oil Crashes Pushing higher — S&P 500 ninth straight weekly gain; NASDAQ +2.4%, S&P +1.4%, Dow +0.9%. Price pressures — April PCE inflation at 3.8% annual rate (highest since May 2023); core PCE 3.3%. Oil pullback — Crude fell for a second straight week on U.S.-Iran talks, down nearly 10% for the week to ~$88; roughly 16% lower for May. May's momentum — NASDAQ +8.4%, S&P 500 +5.1%, Dow +2.8% in May, though short of April's double-digit gains. GDP downgrade — Q1 GDP revised down to 1.6% (from 2.0%) on weaker consumer spending and investment. Rising expectations — Analysts raised Q2 S&P 500 earnings estimates by 2.5% in April/May, per FactSet; results begin mid-July. East Asian rally — Sout

For years the semiconductor spotlight was on GPUs. But over the past six months, AI workloads have shifted from training to inference and agents (Agentic AI) — GPUs "compute," CPUs "manage": calling tools, routing sub-agents, tracking task completion. That's CPU work.

I’m leaning toward $ARM Holdings(ARM)$ in this CPU war. Its business model is the most attractive because it benefits no matter who wins. Whether it’s $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , or hyperscalers building Arm-based CPUs, ARM collects royalties without having to fight for market share directly. That certainty helps explain the stock’s strong reaction. NVIDIA is still the biggest wildcard. Vera may not replace x86 overnight, but within NVIDIA’s AI ecosystem it doesn’t need to. If customers are already buying NVL racks, adopting Vera becomes a natural extension. The market may also be underestimating how much CPU revenue is embedded inside those