To The Moon

The market is no longer debating whether AI demand is real. It is now debating who captures the next dollar of that demand. Let’s separate signal from noise. 1. Nvidia itself NVIDIA is no longer a “growth discovery” story. It is a scale + expectations story. An 85% YoY growth on that base, with 75% margins, is exceptional. But the tepid guidance reaction tells you something important: The market has already priced continued perfection Incremental upside now depends on beating extremely stretched expectations So at ~$220, Nvidia is not “cheap early-cycle” anymore. It is closer to a high-quality compounder with limited room for narrative expansion unless: Blackwell ramps faster than expected, or Hyperscaler capex surprises meaningfully again Otherwise, you get more “good results, muted price

I would not follow this blindly. At +535% YTD, you are no longer early. You are deciding whether to pay for peak narrative plus tightening supply. Let’s separate signal from noise. 1) Tepper buying: meaningful, but not a green light David Tepper tends to lean into macro dislocations, not chase retail momentum. His entry tells you one thing: he believes the cycle still has legs. It does not tell you the entry price is attractive. He can absorb volatility. Most cannot. 2) The real driver: memory cycle turning + AI demand The move in SanDisk is tied to: AI infrastructure pulling forward NAND demand Supply discipline after years of underinvestment Spillover from HBM strength (even though NAND is a different segment) Add Seagate Technology supply warnings, and you get a classic scarcity premium

Short answer: it is far more likely an opening chapter than an ending. But it changes how you should think about Rocket Lab. 1) SpaceX S-1 is not bearish for the sector If SpaceX is genuinely moving toward public markets, it does two things immediately: Forces institutional capital to price the entire space economy properly Validates that launch, satellites, and data infrastructure are no longer speculative niches That is typically bullish for listed peers, not destructive. 2) But it is bearish for lazy RKLB theses Let’s be direct. Many RKLB bulls relied on a “next SpaceX proxy” narrative. That breaks the moment SpaceX becomes investable. Capital that chased RKLB for scarcity may rotate. So RKLB must now stand on fundamentals, not comparison. 3) Where RKLB still has a real edge RKLB is not

This is less about Nvidia alone and more about where we are in the AI cycle. Start with the uncomfortable truth: This did not look like a blow-off top. If anything, it looked like maturing leadership. 1) Nvidia itself: not cheap, but not exhausted An 85% YoY growth rate at this scale, with ~75% gross margin, is not normal late-cycle behaviour. The muted reaction despite strong numbers suggests positioning was crowded, not that the story is broken. The real signal is this: buybacks + dividend + “$200B TAM expansion”. That is a company preparing for durability, not just peak hype. $220 is not a “starting point” in the traditional sense. It is more like a transition zone where expectations are already high, so upside depends on execution staying near-perfect. 2) The more important signal: bre

If you strip away the headline, Tepper buying after a 535% run is not bravado. It is a macro bet on a tight cycle, not a valuation call on SanDisk. The key here is the type of demand. AI infrastructure is not incremental. It is forcing: hyperscalers to overbuild storage alongside compute higher endurance, higher performance NAND requirements inventory buffers because supply chains are tight That is why a comment from Seagate Technology about supply constraints matters. When both NAND and HDD signal tightness, you are no longer in a normal memory cycle. You are in a capacity bottleneck regime. So Tepper’s logic is likely: supply < demand into H2 pricing power persists longer than consensus expects earnings revisions will lag reality That said, following him blindly is risky for one reaso

It is neither the end of Rocket Lab nor a clean “all-clear” signal. It is a reframing of the playing field. The S-1 from SpaceX does two important things at once. First, it removes ambiguity. The disclosure of full control, the tight integration with Starlink, and even the Bitcoin reserve signal that SpaceX is not just a launch company. It is a vertically integrated space platform with: launch (Falcon/Starship) infrastructure (Starlink) potentially defence and data layers That makes it far more comparable to a “space ecosystem monopoly” than a simple competitor. Second, it institutionalises the sector. Once SpaceX is publicly benchmarked, capital no longer treats space as speculative. It becomes allocatable. That is historically positive for second-tier players. Now, what does this mean fo

The numbers themselves are not the issue. An 85% YoY revenue surge with ~75% gross margin tells you Nvidia is still operating in a structurally supply-constrained, pricing-power regime. That is not what a “top” typically looks like. The market’s lukewarm reaction is more revealing than the results. It suggests expectations have moved from “strong growth” to “perfection plus acceleration”. When a company is priced for flawless execution, even excellent guidance feels insufficient. So there are two forces happening at once. First, Nvidia itself is likely entering a compression phase, not necessarily a collapse. Upside becomes harder because: hyperscaler capex is already heavily pre-committed Blackwell demand is widely anticipated positioning is crowded This is where you get sideways trading

It is not the end of the Rocket Lab story. If anything, a formal S-1 from SpaceX reframes the entire sector. A few things to separate clearly. First, scale versus positioning. SpaceX is a category-defining operator. Launch dominance, Starlink cash flow, vertical integration. No one competes head-on. But that has always been true. The S-1 does not create that reality, it simply makes it transparent and investable. Second, capital markets effect. A SpaceX IPO, if it happens, becomes the benchmark asset for commercial space. That can draw capital into the sector, not away from it. Historically, when a dominant private leader lists, it legitimises the industry and expands the total pool of capital. Third, differentiation. Rocket Lab is not trying to be SpaceX. Its edge is in small to medium la

What you are describing is a classic compression phase, not necessarily the end of the trend. When long-end yields spike to multi-decade highs, the immediate effect is mechanical. Discount rates rise, so long-duration assets, especially high-growth tech, get repriced down. That is why the Nasdaq Composite weakens even when fundamentals have not yet deteriorated. But the more important layer is positioning. If hedge funds are already deleveraging and short interest is rising, a fair amount of risk has already been taken out before the event. That changes the payoff structure around NVIDIA earnings. So where does the AI rally “breathe” if both yields stay high and NVDA disappoints? There are three realistic pressure valves: 1. Rotation within the AI stack If NVDA guidance underwhelms, capita

You are reading the situation correctly. The market is no longer reacting purely to NVIDIA as a single name. It is reacting to what NVDA represents, which is the monetisation phase of AI. A few points to ground this. First, the numbers themselves are not the issue. 85% YoY growth with 75% gross margin is still structurally rare. That tells you demand has not broken. It tells you pricing power is intact. The muted reaction is about expectations, not fundamentals. Second, the spillover matters more than NVDA’s own move. When Advanced Micro Devices, Arm Holdings and Micron Technology rally harder than NVDA itself, the market is effectively saying the trade is broadening. Early leaders stop being the highest beta once the narrative is accepted. Third, valuation. NVDA is not “cheap”, but it is