Musk says SpaceX orbital compute costs will beat analyst estimates

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Key Highlights
  • Musk claims orbital compute costs will be lower than Bhakdi's $68 billion estimate by 2028
  • Wall Street analysts project 1 GW orbital compute costs between $160 billion and $180 billion
  • Starship's maiden orbital launch is scheduled for September 28 after a delay from September 22
  • Musk predicts Starlink will likely carry the majority of Earth's IP traffic long-term
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Space Exploration Technologies Corp. (NASDAQ: SPCX) CEO Elon Musk stated that the company’s orbital data center satellites will cost far less than Wall Street analysts predict. Musk made this claim ahead of Starship’s maiden orbital launch, challenging recent cost models for gigawatt-scale orbital compute.

Cost projections diverge from Wall Street estimates

Investment firm Mach33 CEO Aaron Burnett and other analysts have placed the cost of 1 GW of SpaceX orbital compute between $160 billion and $180 billion. Bank of America estimates this figure at approximately $165 billion, while Wood Mackenzie cites $170 billion. BNP Paribas noted that launch costs alone exceed $100 billion.

In contrast, user Jo Bhakdi presented a model calculating the total cost at $68 billion, falling to $43 billion by 2035. Responding to this disparity, Musk asserted on social media platform X that the actual costs would be "way better" than Bhakdi’s figures by 2028.

Source Estimated Cost for 1 GW Orbital Compute
Wall Street Range $160 billion to $180 billion
Bank of America ~$165 billion
Wood Mackenzie $170 billion
BNP Paribas >$100 billion (launch only)
Jo Bhakdi Model $68 billion (all in)
Jo Bhakdi Model (2035) $43 billion

Starlink positioned as global internet backbone

Musk also reiterated his view that Starlink satellite internet service could eventually carry a majority of Earth’s IP traffic. In response to forecasts regarding Starlink V3 constellation deployments by 2028, he stated it is "increasingly probable" that Starlink will dominate long-term traffic.

Musk argued that once Starlink carries the majority of IP traffic, it would effectively become the internet itself, with other networks connecting to it rather than the reverse. This vision aligns with previous statements where Musk described Starlink as potentially more reliable than cable infrastructure.

Launch timeline and market reaction

The comments come as SpaceX prepares for the first orbital launch of its Starship rocket. The launch, initially scheduled for September 22, was delayed and is now set for September 28. The mission is expected to carry Starlink V3 satellites.

Following these announcements, SpaceX shares traded up 0.28% to $149.09 during overnight trading sessions.

What the numbers show

The divergence between Wall Street’s $160-$180 billion estimate and Bhakdi’s $68 billion model highlights a significant uncertainty in pricing emerging space-based infrastructure. While BNP Paribas attributes over $100 billion to launch costs alone, Bhakdi’s total all-in figure is lower than that single component, suggesting a fundamental disagreement on launch economics or hardware efficiency assumptions.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might a successful Starship orbital launch validate or invalidate the lower cost assumptions for gigawatt-scale orbital compute?

What regulatory hurdles could arise if Starlink were to dominate the majority of global IP traffic, potentially becoming the de facto internet backbone?

If SpaceX achieves the projected $43 billion cost by 2035, how would this impact the competitive landscape for terrestrial data centers and cloud providers?

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Musk predicts SpaceX AI will reach GPT-6 level in three months

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Reviewed by
Ritika DScanX News Team
Key Highlights
  • Elon Musk predicts SpaceX will achieve GPT-6 level AI models within 2 to 3 months
  • The company plans to add 660,000 GB300 GPUs by late December to its Colossus clusters
  • Current infrastructure includes 670,000 GPUs, with 550,000 being GB200 or GB300 models
  • JPMorgan estimates acquired platform Cursor generates $4 billion in annual recurring revenue
  • SPCX stock declined 8.03% year-to-date, closing at $148.03 on Thursday
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*this image is generated using AI for illustrative purposes only.

Elon Musk stated that Space Exploration Technologies Corp (NASDAQ: SPCX) is on track to develop an artificial intelligence model comparable to GPT-6 within two to three months. The CEO expressed cautious optimism regarding the timeline, noting that rapid deployment of computing infrastructure remains a key competitive advantage.

Musk emphasized that if the company's growth rate, or second derivative, remains strong, SpaceX could reach a leading position in the AI sector within six months. He highlighted that while competitors like Anthropic and OpenAI have been operating for six and ten years respectively, SpaceX's AI efforts are only three years old. The executive argued that beyond a certain intelligence threshold, additional capability offers diminishing returns for specific tasks, using the analogy of a "Newton-level" intellect in a toaster.

Massive GPU expansion underway

To support these ambitions, SpaceX is aggressively scaling its hardware infrastructure through its subsidiary, now referred to as SpaceXAI. The company’s Colossus superclusters currently house approximately 670,000 GPUs. Musk detailed the specific composition of these clusters and outlined immediate expansion plans to add hundreds of thousands of new units over the next few months.

Cluster GPU Type Quantity
Colossus 1 H100 150,000
Colossus 1 H200 50,000
Colossus 1 GB200 30,000
Colossus 2 GB200 110,000
Colossus 2 GB300 440,000

The expansion plan includes bringing another 220,000 GB300 GPUs online next week, followed by an additional 220,000 units in November. Musk noted that if successful, yet another 220,000 GB300 GPUs could be operational by late December, significantly boosting total compute capacity.

Strategic shifts and analyst views

SpaceX’s integration of AI capabilities has drawn attention from financial analysts. JPMorgan analyst Doug Anmuth noted that the company’s narrative is evolving beyond rockets and Starlink. The acquisition of the AI coding platform Cursor was identified as a strategic move to strengthen enterprise AI distribution. JPMorgan estimates Cursor generates about $4 billion in annual recurring revenue, with roughly 75% derived from business customers. This provides SpaceX with valuable coding data to enhance its Grok model.

Morgan Stanley analysts observed that SpaceX and Tesla Inc (NASDAQ: TSLA) are increasingly sharing technology, talent, and infrastructure to pursue opportunities in physical AI. The firm suggested that this growing overlap could eventually support a potential merger as investors look beyond traditional digital models.

What the numbers show

The disclosed GPU figures reveal a distinct strategic pivot toward next-generation hardware. Of the current 670,000 GPUs in the Colossus clusters, 550,000 are already GB200 or GB300 models, indicating that legacy H100 and H200 chips constitute less than half of the existing fleet. Furthermore, the planned addition of 660,000 GB300 GPUs by late December would nearly double the total cluster size, with the new additions being exclusively high-end GB300 units. This suggests a concentrated effort to maximize compute density and efficiency rather than simply increasing volume with older architecture.

Market data indicates that SPCX stock closed 0.22% lower at $148.03 on Thursday. On a year-to-date basis, the shares have declined 8.03%.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How will the addition of 660,000 GB300 GPUs by late December impact global supply chain constraints for Nvidia's next-generation chips?

What are the regulatory implications of the growing technological and infrastructure overlap between SpaceX and Tesla regarding a potential future merger?

How might SpaceX's acquisition of Cursor, with its $4 billion ARR, reshape the competitive landscape for enterprise AI coding tools against incumbents like GitHub Copilot?

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