SpaceX's Foundational Vision & Milestones - The Multi-Planetary Mission: SpaceX's core purpose remains making life multi-planetary, extending consciousness beyond Earth, and turning science fiction into reality. - Overcoming Early Struggles: From a small warehouse and three initial failed rocket launches, SpaceX has now approached its 700th Falcon flight, mastered landing and reusing orbital boosters, and safely flown 78 crew members to the ISS. Starlink & Starship Expansion - Starlink's Global Dominance: Starlink currently operates in 167 countries with nearly 11,000 satellites (more than double the rest of the world combined). Musk projects this will scale to 100,000 satellites and eventually carry over 90% of all global internet traffic. - Scaling Up with Starship: Described as humanity's hardest engineering challenge, Starship aims to increase Earth's orbital payload capacity from roughly 2,500 tons per year to between 1 million and 10 million tons—the massive volume required to build sustainable cities on the Moon and Mars. The Massive Pivot to Artificial Intelligence & Revenue Predictions - Imminent AI Revenue Overtake: Musk predicts that SpaceX's AI revenue will exceed all of its other traditional revenue streams as early as next month (September) and will dominate by the fourth quarter. - $300 to $500 Billion Revenue Target: SpaceX is building the most powerful AI training clusters in the world, aiming to bring 10 gigawatts of power online by the end of next year. At an estimated value of $30 to $50 per watt, Musk projects this infrastructure will generate $300 billion to $500 billion a year in revenue. - AI as 99% of SpaceX's Value: Within four to five years, Musk expects AI to account for 99% of SpaceX's total company value, which he says will drive the overall valuation to an "astronomical number." - Training "Grok" on SpaceX Data: To build a beneficial AI, "Grok" will be trained on the sum total of all SpaceX information, effectively inheriting the "morality and goodness" of the company's employees. - Building a "Star Mind": While AI training will happen in massive clusters on Earth, everyday AI use (inference) will happen in space. Musk philosophized that humanity's ultimate purpose might be to give birth to a highly advanced digital superintelligence—a sentient "Star Mind"—powered by harnessing the energy of the sun.

On August 10, 2026, Nvidia announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create financing platforms aimed at raising more than $500 billion in third-party capital for AI infrastructure: data centers, compute, and power. The capital will help Nvidia customers (AI labs, enterprises, and cloud providers) fund the massive buildout required to scale artificial intelligence. Nvidia frames high-performance compute as a new investable asset class. CEO Jensen Huang called it a shift from selling chips to enabling “AI factories,” noting each gigawatt of capacity can cost $50–60 billion. In a rare joint CNBC appearance, Goldman Sachs CEO David Solomon described a multi-year (3–10 year) opportunity with ample capital already available in the markets. BlackRock CEO Larry Fink struck a sharper note on urgency and competition: “We need to raise this money as fast as possible… it’s really imperative that the United States is the leader in AI in the world… We’re going to have to raise trillions of dollars over the coming years.” The deals remain subject to final agreements. The announcement underscores both the unprecedented scale of the AI infrastructure race and Wall Street’s growing conviction that compute itself can become a durable, financeable asset. This is a battle of AI supremacy between the US and China. It seems there is no limit to the money being spent. Who are the winners from this: NVIDIA is the clearest #1 winner. The entire $500B+ effort is designed to help its customers finance more NVIDIA compute (GPUs, full AI factory systems, software stack). Easier and cheaper capital for buyers directly accelerates NVIDIA’s sales and locks in its platform as the investable standard. Micron is a strong #2. High-bandwidth memory (HBM) is one of the tightest bottlenecks in AI systems. Every major NVIDIA GPU deployment requires large volumes of HBM. Accelerated data-center buildout translates almost one-for-one into higher HBM demand, which benefits Micron (alongside SK Hynix).

Morgan Stanley’s Adam Jonas argues that SpaceX’s pending ~$60B all-stock acquisition of Cursor (AI coding tool/platform, currently ~$4B ARR) is a key catalyst that could help bridge the path to his $600/share bull case (~330% upside from recent levels). He frames SpaceX as building a full end-to-end enterprise platform for “builders”: Grok (intelligence), X (real-time data), SpaceXAI compute (infrastructure), Starlink (connectivity for global agents), and Tesla partnerships (path into physical AI), with space as a long-term scale accelerator. Network effects are expected to accrue more in the application layer than in the base models themselves. Most investors remain skeptical of SpaceX’s AI business beyond pure “neocloud” compute rental and currently ascribe little-to-no (or even negative) value to Grok + Cursor due to high CapEx, uncertain economics, and management bandwidth. As more details emerge on the Cursor/Grok integration after the deal closes (expected within weeks) and subsequent model releases, that valuation discount could lift, driving significant stock appreciation. Code generation is becoming commoditized; lasting value will sit with the layer that owns the data and deployment (where Cursor currently sits). This could enable higher-value products over time (e.g., outcome-based pricing instead of seats, unattended code maintenance, or a hosted platform for third-party tools). Jonas’ $33B 2030 Cursor ARR estimate does not yet bake in these broader platform synergies. Broader context: Jonas has an Overweight rating and $300 base target (more than half of which is already AI-driven). SpaceX acquired the option to buy Cursor earlier in 2026 and exercised the full acquisition post-IPO. Cursor has grown extremely rapidly (from low hundreds of millions to ~$4B ARR). Jonas has previously noted that at ~$100/share the market would effectively be pricing AI at zero.

8yrs ago I remember Elon Musk said this "Am considering taking Tesla private @$420. Funding secured". Adjusted for splits is about $28 in today. Aug 7th 2028 Tesla closed at $328. 11.7X split adjusted to $28level. That's was the time I bought my shares and still have them. Funny if he does it again with SpcX if it drops below $100 again.