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🚀 SpaceX Q3 earnings blow expectations away! AI business surges 830% to become the biggest dark horse 🌌 Expectations of a “merger” between SpaceX and Tesla have set Wall Street ablaze!

SpaceX just released its Q3 2026 earnings, smashing expectations across the board. Its share price briefly surged more than 8% after hours! Here are the key highlights 👇

📊 Key earnings figures
Total revenue: $14.58 billion (up 161% year over year), far exceeding expectations!

Net income: $4.4 billion (vs. $1.88 billion expected), more than doubling expectations!

Diluted EPS: $0.35 (vs. $0.15 expected)
🤖 AI “Superintelligence (SI)” becomes the company’s largest revenue source
SI business revenue: $7.56 billion (up a whopping 830% year over year!), surpassing Starlink for the first time to become the company’s largest revenue pillar!

Growth drivers: Strong demand for cloud services, synergies from the acquisition of Cursor, and explosive growth in applications of the Grok model.

📡 Starlink and space businesses continue steady expansion
Satellite internet: Revenue of $5.25 billion (up 69% year over year), with Starlink subscribers surpassing 13.6 million!

Space launches: Revenue of $1.77 billion. Starship’s 14th flight successfully deployed Starlink V3 satellites into orbit and contributed commercial revenue for the first time!

💡 Outlook and highlights
Accelerating computing capacity: Q3 capital expenditure was nearly $20 billion, of which 84% went toward building AI/SI infrastructure (the COLOSSUS II computing center is being expanded).

Musk’s big announcement: Executives revealed on the earnings call that next year’s annual recurring revenue (ARR) target could reach as high as $1 trillion, and confirmed that a potential merger with Tesla is under discussion!
$TSLA.US
$SPCX.US

$NVDA.US

🚀 Are billionaires ushering in a new era of “giving away shares”? Musk plans to give stock to every child in the U.S.—will the world’s greatest investor, Warren Buffett, follow suit?

Elon Musk, founder of Tesla and SpaceX, previously announced on social media that he plans to give one share of SpaceX stock free of charge to every child under 18 in the U.S. At a valuation of $148 per SpaceX share and with around 70 million minors across the country, the giveaway would be worth approximately $10 billion in total (more than 1% of his SpaceX stake).

💡 A new approach to philanthropy: from “setting up a foundation” to “giving everyone a stake”?
Musk’s “airdrop-style” philanthropy could offer a new solution for other ultra-wealthy individuals worth hundreds of billions, such as Buffett, Bezos, Zuckerberg, and Jensen Huang:

* Buffett’s dilemma: The 96-year-old “Oracle of Omaha” plans to give away his $150 billion fortune by 2034, but his three children have admitted that the pressure is “enormous.” They currently donate only around $500 million a year, while the amount they will need to distribute annually in the future could surge to over $15 billion.

* An alternative to consider: If Buffett followed Musk’s example and gave every child in the U.S. one Class B share of Berkshire Hathaway (worth around $532 per person), it would cost only about $37 billion in total (a quarter of his stake). This would not only directly ease the burden of distributing his wealth, but also deliver the largest financial-literacy initiative in history.

⚠️ Practical hurdles and potential impact
* Implementation challenges: Whether it’s SpaceX (a private company whose shares are not publicly traded) or Berkshire Hathaway, opening securities or custodial accounts for 70 million minors and distributing shares in compliance with regulations would still pose major technical and regulatory hurdles.

* Financial education: Berkshire Hathaway’s strong earnings prospects (with an annualized compound return of around 10% possible over the next decade) could make a powerful lesson in finance and value investing if passed directly to the next generation in the form of shares.

📌 If Web3 giants in the crypto space also adopted this “airdrop for everyone” model to give wealth to young people, what do you think would be better: giving away BTC/ETH, or shares in leading Web3 startups? Share your thoughts in the comments! 👇
#WarrenBuffett #ElonMusk $SpaceX
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🚀 Musk to “airdrop” SpaceX shares to every child in America? The ultimate revolution in traditional philanthropy!
After Anthropic announced the creation of a “public benefit fund,” allocating 5% of its equity to traditional foundations for indirect distribution, Musk fired back boldly on X with a blockbuster plan:
> “Next year, I will give one share of SpaceX stock to every child in America. Giving the public shares that represent a stake in the economy of the future directly is the right way to go.”
>
📌 “SpaceX Airdrop for Everyone” in One Minute
* Estimated scale: Around 73 million children under the age of 18 in the United States.
* Airdrop value: Based on a post-IPO SpaceX valuation of $2 trillion and an estimated share price of about $147.96, this “massive airdrop” would have a high face value, yet account for only a tiny fraction of Musk’s personal wealth.
* Connecting the dots: The plan is expected to link up with the U.S. Treasury’s “Trump Accounts” for minors.
💡 A Clash of Two Distribution Models: Intermediary Trusts vs. Direct “Airdrops”
| Dimension | Anthropic model (traditional Web2 philanthropy) | Musk 2.0 model (direct capital distribution) |
|---|---|---|
| Approach | Contribute to a foundation ➔ board approval ➔ indirect funding | Eliminate intermediaries ➔ deliver directly to individuals ➔ share ownership for all |
| Rationale | High bureaucratic and administrative overhead; relies on intermediary organizations | Assets delivered directly to recipients, who benefit from the long-term premium of top-tier tech |
| Perspective | Passive recipients of aid | Cultivating an “ownership perspective” on the economy of the future |
⚠️ Three Major Questions and Controversies Behind the Excitement
* Will the shares actually be delivered?
Musk’s past commitments, including an OpenAI donation and a $6 billion donation to the UN World Food Programme, have been disputed. This plan lacks specific custody arrangements and legal details, so observers are still waiting to see whether it will actually happen.
* Who qualifies, and what about taxes?
Will this be limited to U.S. citizens, or include all minors living in the United States? When will recipients be able to sell their shares and cash out? How will taxes be handled?
* Can “giving shares” replace “public support”?
Critics argue that stocks are volatile assets whose value lies in the future and cannot meet people’s immediate needs. Public welfare should still be built on a transparent tax system, rather than on the “selective giving” of the wealthy.
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$SPCX.US
$NVDA.US
$GOOG.US

😉Please help vote for me. 😍Many thanks.
Vote for the 2026 Annual Blockchain Top 100 Creator Award!

💡 [Trump’s Balance Sheet Makes a Major Turnaround: Crypto “Money Machine” Helps Him Wipe Out Debt]
On one side, U.S. government debt has surpassed $40 trillion, setting a new all-time high; on the other, Donald Trump’s personal leverage has fallen to its lowest level in nearly a decade!
According to the latest disclosure from Forbes, in May 2026, Trump fully paid off the remaining $5.7 million mortgage on the commercial space of Trump International Hotel and Tower in New York. The ten-year loan was originally set to mature in August 2026, and the latest official documents confirm that the debt balance has dropped to zero, with no new refinancing undertaken.
📉 From “Cash Crisis” to “Deleveraging”
Rewinding to the end of Trump’s first term, he once faced a severe funding squeeze:
* Debt cliff: More than $900 million in debt was coming due, while liquid cash on hand was below 10%.
* Huge fines and lawsuits: In early 2024, he was hit by a one-two punch from the New York civil fraud case ($450 million) and the E. Jean Carroll case (nearly $90 million). Lawyers once warned he might have to “dump assets at fire-sale prices.”
However, as the fraud penalties were completely overturned on appeal, combined with a series of refinancings and asset monetizations, Trump’s cash flow reversed course.
🪙 New digital assets: the family’s “gold mine”
The biggest factor behind the transformation of Trump’s balance sheet is his cryptocurrency business:
* Meme coin: Sold to “MAGA” supporters, generating an estimated more than $600 million in pre-tax cash.
* World Liberty Financial (WLF): A crypto project co-founded with his family, contributing about $500 million in pre-tax income.
* Equity sale: Reports say capital linked to the UAE acquired a 49% stake in WLF, bringing in another $260 million.
🏢 Major real estate debt cleanup
With massive cash in hand, Trump began an ongoing debt repayment spree:
* Paid off about $114 million in debt on 40 Wall Street in cash.
* Paid off a $45 million loan on Trump Tower Chicago.
* Settled loans tied to Palm Beach, the Bedford mansion, and Trump Plaza.
* Settled the final $5.7 million balance on the commercial space of Trump International Hotel and Tower in New York.
As of September 2026, Trump’s liquid assets were estimated to be close to $1.9 billion.
$BNB

🔥 Behind the chip stock sell-off: The euphoria is over, and divergence is widening! How can you pick resilient “blue chips”?

In the recent wave of sell-offs, almost no chip stocks have been spared! The iShares Semiconductor ETF (SOXX) even recorded its longest losing streak since 2006.
The market is worried about the massive debt costs associated with expanding AI infrastructure, with cloud computing company CoreWeave at the center of the panic. But beneath the sell-off, the market is sharply divided—and that makes this an ideal time for investors to identify quality stocks!

📉 1. Hardest-hit stocks: Equipment makers and highly valued names
Hardest hit: Cerebras Systems (-34%), Teradyne (-30%), Applied Materials (-27%), Lam Research (-26%), SK Hynix (-22%).
Why they fell: Equipment makers were leading winners in the AI bull market, making them especially vulnerable to profit-taking. Their revenue is also sensitive to geopolitical risks, while expectations for future capital spending remain uncertain.

🛡️ 2. Most resilient stocks: Asset-light leaders with diversified customer bases
Most resilient: Qualcomm (-4.57%), NXP (-5.12%), Analog Devices (-5.71%), Texas Instruments (-6.34%), Broadcom (-9.42%).
Why they held up: They use asset-light or outsourced business models (with lower capital intensity) and have diversified customer bases, rather than relying solely on a single AI segment.

💎 3. Golden buying opportunity? A shakeout among giants could offer long-term prospects
Mid-range decliners such as Nvidia, AMD, and TSMC have pulled back by 10% to 16%, but Wall Street analysts remain bullish over the long term:

1. Nvidia ($NVDA): 96% of analysts rate it “Buy,” with a price target of $334, implying 55% upside.

2. Broadcom ($AVGO): 94% of analysts rate it “Buy,” with a price target of $529, implying 56% upside.

3. TSMC ($TSM): 96% of analysts rate it “Buy,” with a price target of $553, leaving around one-third upside.

4. AMD ($AMD): 82% of analysts rate it “Buy,” with a price target of $654+ (an expected gain of 20%).

5. Qualcomm ($QCOM): The most resilient, with an average price target near $197 (around 14% upside).

💡 Bottom line: When the market is gripped by fear, look closely at whether a company is driven by high capital spending or operates a diversified, asset-light business. The sell-off may not be over, but quality long-term investments will ultimately outperform the broader market!
$NVDA.US
$MU

🔥 A blockbuster week for U.S. stocks is here: Nvidia’s GTC joins forces with major U.S. companies as AI returns and earnings durability face a major test!
From Nvidia’s computing-power expansion in Europe to a packed schedule of earnings reports from tech giants, the commercialization of the AI industry chain and the spread of demand will face a comprehensive test.
1️⃣ Nvidia GTC kicks off in Berlin, with Jensen Huang focusing on “European sovereign AI”
* Time and topics: Nvidia’s GTC AI conference takes place in Berlin from October 20–22. Jensen Huang is scheduled to deliver the keynote on Wednesday (17:00–19:00 Beijing time). Key topics include European sovereign AI, enterprise AI infrastructure, Agentic AI, inference deployment, and robotics.
* Public- and private-sector cooperation: German Chancellor Merz plans to meet with Jensen Huang, with a focus on cooperation in computing power for Germany’s industrial AI.
* What the market is watching: Investors will be looking to see whether Nvidia discloses details about its next-generation chip architecture, as well as the scale of deployments in European data centers, sovereign computing power, and industrial AI projects.
2️⃣ Tech giants take the earnings baton: Meta and Tesla report
The S&P 500’s blended earnings growth for the third quarter is expected to reach 29%, driven primarily by the energy and technology sectors.
* Meta ($META): Investors will watch whether its advertising business can continue to support its massive AI capital expenditures, as well as progress in monetizing AI recommendation tools and Agentic AI.
* Tesla ($TSLA): Q3 deliveries exceeded 486,000 vehicles, and energy storage deployments reached 13.7 GWh. Key items in the report include automotive gross margins and cash flow, as well as updates on Robotaxi, FSD, and upcoming models (the live Q&A will be held Thursday at 05:30).
* SpaceX ($SPCX): The market will closely monitor Starlink and the cash flow and profitability of its space infrastructure business.
3️⃣ A comprehensive test of the semiconductor supply chain: Lam Research, Texas Instruments, and Western Digital
* Lam Research ($LRCX) (wafer fabrication equipment): A test of expansion plans among memory customers and demand for advanced process and packaging equipment.
* Texas Instruments ($TXN) (analog chips): Investors will assess the recovery in demand from traditional end markets such as industrial and automotive, along with the inventory cycle.
* Western Digital ($WDC) (storage): Investors will watch cloud providers’ purchases and demand for high-capacity hard drives to see whether data center expansion can continue translating into storage orders.

If Nvidia signals strong demand and tech giants’ capital expenditures and revenue growth form a virtuous cycle, recent market concerns about the “return on investment (ROI) of AI” should ease considerably.
$NVDA.US

SPCX Earnings Expectations:
Views of Major Financial Institutions on the Artificial Intelligence (AI) Business ⓘ

* Beat expectations: 100%

* Missed expectations: 0%

1. AI Revenue and Margin Expectations Raised Significantly

* Goldman Sachs: Expects significant revenue growth in the AI business over the next three years; ground-based computing capacity could reach approximately 2.4 gigawatts (GW) by the end of this year.

* Evercore ISI: Expressed strong confidence after third-quarter revenue and earnings before interest, taxes, depreciation, and amortization (EBITDA) exceeded expectations, and raised its price target.

* Citi: Adjusted EBITDA in the AI business exceeded expectations by nearly $1.5 billion; the timeline for achieving its revenue target has been brought forward to 2030.

2. “Starship” Technical Milestones Exceed Expectations

* Morgan Stanley: The successful deployment of V3 Starlink satellites during an orbital flight was a major achievement and a key catalyst.

* Citi: Starship’s successful 14th flight further strengthened launch capabilities and marked a turning point on the path to commercial operations.

* Pivotal Research: Highlighted growth potential from the expansion of Starlink’s mobile business and spectrum acquisition.

3. Growth Trends Across Core Business Segments Confirmed

* Deutsche Bank: Achieving the $100 billion annual recurring revenue (ARR) target by the end of this year is entirely feasible.

* Bernstein: The connectivity business lays the foundation for profitability, while the AI computing business is driving resilient revenue growth.

* BofA Securities: Maintained an optimistic outlook, highlighting the company’s differentiated strengths across its three key business segments: space, connectivity, and AI.

—————————————————————————We buy SPCX, GOOG, and NVDA on dips
$SPCX.US
$GOOG.US
$NVDA.US

On October 17, the Fed officially entered its communications blackout period ahead of its policy meeting. The latest U.S. CPI for September rose 3.7% year over year, above expectations. Fed Chair Kevin Warsh did not maintain the hawkish stance he took at the Jackson Hole meeting, and struck a noticeably more moderate tone.

Here is a summary of institutional analysis and key points:

1. Key signals from Warsh: leaning toward a pause in rate hikes?
* No advance commitment to a rate hike: Warsh stressed that the Fed would “make decisions meeting by meeting,” characterizing September’s rate hike as “removing policy accommodation” rather than the start of a tightening cycle.
* No reiteration of hawkish remarks: Despite the hotter-than-expected September CPI data, Warsh said economic performance was broadly in line with September expectations. He did not make a strong case for another rate hike in October ahead of the blackout period.
* Institutional expectations: Bloomberg Economics noted that Warsh’s “lack of a clear stance” was itself the biggest signal, suggesting the Fed would most likely hold rates steady at its October 27–28 policy meeting.

2. AI’s dual impact on inflation and monetary policy
Warsh is optimistic that AI will boost long-term productivity, but also acknowledged that AI could have a temporary impact on the economy and inflation:
* Short-term demand-side pressure: Large-scale construction and investment in the AI sector are rapidly driving up demand, which could push inflation higher in the short term.
* Medium-term supply-side benefits: AI will ultimately be a positive supply shock, significantly boosting productivity and easing inflationary pressures over the longer term.

3. Goldman Sachs’ quantitative assessment: AI hardware and computing power add 45 basis points to PCE inflation
In its latest report, Goldman Sachs broke down the specific inflationary impact of AI-related demand:
* Memory and software: Contribute about 20 basis points to Core PCE inflation, much of which is attributable to statistical distortions.
* Electronic components: Expected to contribute a cumulative 15 basis points by the end of next year.
* Data center electricity consumption: Adds a combined 10–20 basis points through corporate energy costs and household electricity bills.
* Industrial metals: Data center infrastructure demand adds about 5 basis points to core inflation.
* Goldman Sachs’ conclusion: AI is adding about 45 basis points to inflation, and its impact is nearing a peak. As hardware prices ease next year, Core PCE is expected to move back toward the 2% target.

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