SpaceX IPO… the Crypto Play Nobody Sees Coming

Forget the valuation for a moment.

$350 billion. Largest IPO in history. Yes. All of that is true and all of that matters.

But zoom out and look at what second order effects the SpaceX IPO could have…

Every time the world buys into Elon's vision at scale, capital flows. Attention flows. And one specific corner of the crypto market… already quietly wired into the infrastructure he's building… moves.

It happened with Tesla. With Dogecoin. With the X payments story. Each time, the same pattern.

Each time, most investors were a step behind.

Don’t let it happen again.

The SpaceX IPO is the largest version of this we've ever seen.

Sentiment in crypto right now is near bear market lows. Prices haven't caught up to the fundamentals. Institutions are already in position.

I've put together a full briefing on the one coin I believe is most directly in the path of what's coming.

Click here to see our #1 crypto for the SpaceX IPO.

Regards,

Bryce Paul
Crypto 101

GPU Prices Are Surging—3 Ways to Play the AI Chip Shortage

By Thomas Hughes. Originally Published: 4/14/2026.

AI bubble or not, demand trends suggest this cycle continues to grow with no end in sight. The news in early April is that GPU rental prices are skyrocketing, supporting a robust outlook for GPU-as-a-Service providers. The group includes a diverse array of businesses with one thing in common: they own or have access to NVIDIA (NASDAQ: NVDA) AI-capable GPU clusters at scale, rent them out on an on-demand or long-term basis, and benefit from a dynamic pricing model.

Dynamic pricing here means demand and supply dynamics that drive pricing power. Pricing power for investors translates into a stronger revenue and earnings outlook, which tends to lift stock prices. Reports show H100 and H200 pricing rose roughly 40% as of March, while pricing for newer Blackwell and upcoming Vera Rubin models increased 50% or more by April. Demand is so strong that operators are beginning to favor longer-term, highly visible contracts over short-term on-demand business, enabling them to access capital markets, invest in growth, and expand.

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Demand is supported by delayed plans at major AI labs and hyperscalers. A lack of capacity is prompting postponements, which in turn bolsters the outlook for data centers, GPUs, and the GPU-as-a-Service industry. The primary bottleneck is training capacity: persistent shortages—particularly of resources needed for inference—are slowing the training of large models. The root cause is HBM memory. HBM is critical to AI GPU construction: each GPU requires multiple HBM stacks, and each stack uses many HBM chips. While HBM capacity is ramping, significant relief is not expected until well into 2027.

Play #1: Memory Chip Makers

Memory sits at the center of the GPU shortage, and Micron (NASDAQ: MU) is among the best-positioned suppliers. Its HBM modules are considered top-tier for AI modeling and inference, and the company is well advanced on expansion projects. Micron has several initiatives under way to improve its supply chain and bolster its domestic footprint, many of which are expected to come online in 2027 and beyond. For now, revenue and earnings are growing at a high, triple-digit pace and estimates are being revised upward, supported by tight supply and higher pricing. Micron is reportedly sold out of HBM capacity through 2027.

Micron’s analyst sentiment is robust. MarketBeat tracks 37 analysts — sufficient for a high-conviction rating — and coverage has been increasing, with the consensus rating at Buy. The buy-side bias is strong: about 90% of ratings are Buy or higher. As of mid-April the consensus price target implied roughly 10% upside, but the trend remains constructive, with more recent targets suggesting at least 20% upside from key resistance near $450.

Play #2: GPU Chip Makers (That Aren’t NVIDIA)

NVIDIA is well positioned to capture much of the market, but it may not be the only profitable choice. While Advanced Micro Devices (NASDAQ: AMD) has trailed NVIDIA in some areas, it is on the verge of launching a new product line, including rack-scale solutions and the software stack to run them.

AMD’s open-source system is intended to compete directly with NVIDIA’s CUDA, positioning the company to take share in the data center. Because AMD’s chips are viewed as efficient for inference and potentially much cheaper to operate, demand could outstrip supply quickly, which would benefit the broader data-center and GPU-as-a-Service markets over the longer term.

Companies announcing deals for MI450 products include Meta Platforms (NASDAQ: META), OpenAI, and Oracle (NYSE: ORCL). Each plans to use the GPUs to power high-capacity computing centers for AI development and inference. Analysts are bullish, expecting revenue growth to accelerate sequentially over the next several quarters and are raising price targets ahead of AMD’s fiscal Q2 2026 earnings. MarketBeat data shows 40 analysts covering AMD, a Moderate Buy consensus, and potential upside in the 20%–55% range.

Play #3: GPU-as-a-Service Providers

GPU-as-a-Service providers are clear beneficiaries of rising GPU pricing, which supports revenue and earnings. Names to watch include CoreWeave (NASDAQ: CRWV), Applied Digital (NASDAQ: APLD), Nebius Group (NASDAQ: NBIS), and IREN Limited (NASDAQ: IREN). Each company has distinct characteristics; CoreWeave may be best positioned with more than 30 data centers across the EU and U.S., but the others also stand to gain.

The biggest operational hurdle for these companies is the buildout itself, and for investors it is the cost of that buildout, which is often financed with debt and dilutive measures. There are mitigating factors: swelling backlogs help justify expansion. Nebius Group is an example — its liabilities grow in 2026, with total liabilities approaching $8 billion by early 2026, but it is backed by a backlog of more than $45 billion.

Tesla: Why Things Could Get Worse Before They Get Better

By Sam Quirke. Originally Published: 4/13/2026.

Shares of automotive giant Tesla Inc (NASDAQ: TSLA) are trading near $345, roughly 30% below their December highs and stuck in a grinding downtrend that shows little sign of reversing. What initially looked like a healthy pullback in January has increasingly resembled something more sustained, with each rally attempt sold into and lower lows being set.

At the start of the year there was a clear narrative shift underway. Investors were beginning to view Tesla as a robotics and automation company rather than just an electric vehicle (EV) maker. That reframing supported the company’s triple-digit valuation and resilient bullish sentiment, but in recent weeks that optimism has started to fade.

Weak delivery data released this week has redirected attention to the core automotive business, and a lack of meaningful results from the pivot to automation leaves bulls with little to hold onto. With fewer than two weeks until the next earnings report, conditions could deteriorate further before they improve. Here’s what’s going on.

Weak Deliveries Bring Focus Back to the Core Business

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This week’s delivery report was a blow to Tesla investors, arriving after an already brutal first quarter. Expectations weren’t high, but the numbers were still disappointing, reinforcing concerns about slowing demand and rising competition in the EV market.

When Wall Street was fully backing Tesla’s pivot toward autonomy and AI, short-term delivery fluctuations were easier to dismiss. Now, with that narrative losing momentum, investors are once again anchoring expectations to the company’s core automotive performance.

A Premium Valuation Means Even Less Room for Error

The situation is exacerbated by valuation. Even after the recent pullback, Tesla’s valuation remains stretched. With a price-to-earnings ratio north of 300, the stock is priced for substantial future growth, leaving little tolerance for disappointing updates like this week’s delivery figures or continued uncertainty around the path to profitability for its autonomy and robotics plans.

That said, some analysts remain constructive. This week Deutsche Bank reiterated its Buy rating, calling the weakness an opportunity. But that view is balanced by firms such as JPMorgan, which reiterated a Sell rating this week, echoing BNP Paribas’s stance from last month.

Price Action Suggests More Pain Could Be Coming

Bears argue that weakening fundamentals plus a premium valuation is a poor combination. The chart’s ongoing downtrend, which hit fresh lows this week, supports that case. Technically, the stock has been making a series of lower highs and lower lows since December, and until that pattern changes, it’s hard to get bullish.

Sentiment is turning increasingly negative, with the stock’s relative strength index flirting with oversold levels. That creates an interesting setup for sidelined investors.

On one hand, Tesla’s fundamentals and price action point toward further downside risk. On the other, you could argue the worst-case scenario is becoming more fully priced in. Historically, those are the moments when Tesla has surprised skeptics, even as bearish conviction peaks.

Earnings Will Be Key

The company’s upcoming earnings report, due April 22, takes on added importance. With expectations pared back and sentiment low, the potential for a meaningful upside surprise exists but may not be high.

Investors will watch closely for signs that the longer-term strategy around autonomy, robotics, and AI is translating into tangible progress. Updates on margins and EV demand trends will be crucial to assessing whether the core business is stabilizing.

If Tesla posts modestly better-than-expected results and provides a clearer path forward, the stock could begin to find demand. Conversely, if the report disappoints or reinforces current concerns, the downtrend could extend to fresh lows. With the stock still trading at a premium multiple, the market is unlikely to be forgiving.