SpaceX Prices Record $1.77 Trillion IPO, Three Institutions Call Out AI Bubble on the Same Day. The market is pricing in the future and pricing in fear.
SpaceX filed an amended S-1 with the SEC, revealing the IPO price: $135 per share, 5.556 billion shares of Class A common stock, with a valuation of approximately $1.77 trillion and plans to raise $750 billion. The listing is set for June 12, under the symbol SPCX, with the roadshow launching today. This is 2.5 times Saudi Aramco’s 2019 IPO record ($29.4 billion). A fixed price instead of a price range is a rare move, reflecting absolute confidence in demand.
However, Morningstar analyst Owens pointed out on the same day that SpaceX’s actual value is around $780 billion, 55% lower than the IPO valuation. With a projected 2025 merged revenue of $18.7 billion and operating losses of $2.6 billion, the $1.77 trillion valuation’s core support is not cash flow but a narrative premium of Starlink’s 9 million users plus the xAI merger. On the same day, a San Francisco homeowner listed a $3 million residence, stating they would accept Anthropic or OpenAI shares as payment. Private tech company equity is turning into an alternative currency.
Google has increased its equity financing from $800 billion to $847.5 billion, setting a new global record for the largest equity issuance, surpassing Petrobras’ $70 billion in 2010. Berkshire Hathaway subscribed to $10 billion of it. The financing is all directed toward AI computing infrastructure. On the same day, Google announced that Gemini’s monthly active users surpassed 900 million, doubling from the same period last year, and Gemini 3.5 Pro is expected to launch in June. The full-year capital expenditure guidance remains unchanged at $180 billion to $190 billion.
On the same day, Meta’s WhatsApp AI Business Bot officially launched globally, billing via tokens. This is the first time a large tech company has adopted OpenAI-style token pricing for consumer-grade AI products. During pilots in India, Mexico, and Brazil, over 1 million merchants have already joined. The Business Bot can handle customer inquiries, recommend products, make appointments, and complete transactions. Large tech companies are simultaneously doing two things: setting record-breaking AI infrastructure financing and starting to charge based on usage for AI products.
Dalio, DoubleLine’s Chief Investment Officer Cohen, and Morgan Stanley all warned of the AI bubble risk on the same day. Bridgewater estimated that Google, Amazon, Meta, and Microsoft will spend $650 billion on AI infrastructure in 2026, a 59% increase from $410 billion in 2025. Bridgewater’s Co-CIO Jensen stated that the cycle has entered a “more dangerous phase” as the companies most able to fund AI happen to be the largest index weights, and once investors believe that spending is outpacing returns, the pressure from a few giants can drag down the entire market.
Cohen from DoubleLine pointed out that the AI bubble is spreading to the credit market. Morgan Stanley coined the term “Chipflation.” AI demand has driven memory chip prices up 6-fold over the past year, with manufacturers prioritizing high-margin capacity for data centers, leading to a surge in memory costs for consumer electronics. Smartphone and PC makers are forced to raise prices or accept thinner margins. Three independent macro voices pointed to the same conclusion within 24 hours: AI spending has grown large enough to become a macro variable.
An Iranian drone attacked the Kuwait International Airport passenger terminal, causing 1 fatality and significant damage to the facilities. Kuwait suspended flight operations and expelled Iranian diplomats. On the same day, Iran launched missiles and drones at Bahrain. This is the first time since the late February U.S.-Israel joint strike on Iran that the conflict has spilled over to the civilian infrastructure of Gulf allies.
On the same day, the U.S. House of Representatives passed a war powers resolution by 215-208, demanding Trump cease military action against Iran, with 4 Republican defections. Fitzpatrick invoked the War Powers Act’s 60-day limit stating, “It’s either comply with the law or change the law; you cannot break the law.” While the resolution is unlikely to pass the Senate and face a presidential veto, it marks the first time in over three months that Congress has passed such a final vote.
The European Commission has released the “European Technology Sovereignty Package,” directly addressing the reliance on American technology. Currently, over 80% of the EU’s key digital products, services, and infrastructure come from non-EU countries. The three-pillared plan includes the Chips Act 2.0, Cloud and AI Development Act, and Open Source Strategy, aiming to establish advanced semiconductor fabs within Europe, double data center capacity within 5 to 7 years, and expand open-source alternatives for cloud and cybersecurity.
EU officials told CNBC, “We must ensure that no one holds the kill switch.” This is not a narrative of catching up; Europe does not believe it can outpace Silicon Valley in AI or chips, but it is buying insurance for a worst-case scenario. When a U.S. president can change tech company behavior boundaries through executive orders and chip export controls become a geopolitical weapon, reliance itself is a risk exposure.
AI music company Suno, valued at $5.4 billion, has completed a $400 million Series D funding round, doubling its valuation from November last year. After reaching a copyright cooperation agreement with Warner Music last year, Suno will launch the first AI model developed jointly with the music industry.
Stripe, Visa, and Mastercard are jointly building a stablecoin payment platform, with Coinbase also in talks to join. The three companies, over the past two years, each acquired Bridge and BVNK and are now transitioning from individual developments to collaborative infrastructure building.
The ongoing impact of Trump’s AI executive order continues, with IBM’s CEO supporting light regulation, and Ultraman set to testify in Congress against the model approval system. However, Ars Technica points out that DOGE has trimmed personnel from security assessment agencies like CISA, calling into question the execution capability of the 30-day voluntary review framework.
Google has open-sourced Gemma 4, a 12B model with 119.5 billion parameters, under the Apache 2.0 license, capable of running on a standard 16GB laptop locally. While most vendors are chasing after larger models, Google is filling the gap in the small-model end of the product line.
The World Semiconductor Trade Statistics organization predicts that the global chip market will reach $1.511 trillion by 2026, a nearly 90% year-on-year increase. The storage chip sector will see a 249.5% growth, surpassing $800 billion in size, overtaking the overall semiconductor market size in 2025.
Microsoft has unveiled Project Solara AI, an enterprise device platform from the chip to the cloud, designed for AI agents. Concept reference devices include desktop companions and wearable badges, with the hardware designed to run AI agents rather than traditional applications.
Bitcoin has touched the Power Law model’s low point, a position in history that often foreshadows a rebound. However, Citigroup analysts believe that the lack of new investors is the core issue at present, suggesting that the Strategy’s initial sell-off is just a trigger rather than the reason.
[BlockBeats]
SpaceX’s $1.77 Trillion IPO: The AI Bubble and Crypto’s Crossroads
The recent $1.77 trillion SpaceX IPO valuation, which dwarfs historical records, signals a pivotal moment for crypto markets. This isn’t just another tech listing—it’s a referendum on future-oriented valuation models that crypto has long championed but struggled to legitimize in traditional markets. With three prominent institutions simultaneously warning of an AI bubble on the same day as SpaceX’s pricing, we’re witnessing a dangerous convergence of narratives that will reshape crypto’s trajectory.
The SpaceX Premium: Crypto’s Validation or Warning?
SpaceX’s fixed $135/share pricing reflects “absolute confidence in demand,” but Morningstar’s valuation of $780 billion (55% lower) exposes a critical disconnect. The core support isn’t cash flow but a “narrative premium” built on Starlink’s 9 million users and xAI merger prospects. This should resonate with crypto investors who’ve defended similar valuation models for years.
What’s particularly telling is the timing: on the same day, a San Francisco homeowner listed a $3M residence accepting Anthropic or OpenAI shares as payment. Private tech equity is becoming an alternative currency, creating a parallel financial system that competes with crypto’s value proposition. For crypto to maintain relevance, it must demonstrate superior utility or store-of-value characteristics compared to these private tech assets.
AI Bubble: Crypto’s Lifeline or Anchor?
The simultaneous warnings from Dalio, DoubleLine’s Cohen, and Morgan Stanley about an AI bubble represent the most significant macroeconomic red flag we’ve seen in years. When Bridgewater projects Google, Amazon, Meta, and Microsoft will spend $650 billion on AI infrastructure by 2026—a 59% increase from $410 billion in 2025—we’re witnessing the creation of a new macro variable that could overshadow crypto’s market impact.
The term “Chipflation” coined by Morgan Stanley reveals the tangible consequences: memory chip prices up 6-fold, with manufacturers prioritizing high-margin data center capacity. This creates a two-tiered economy that could ultimately benefit crypto:
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Opportunity: AI’s computational requirements could drive demand for decentralized computing networks, validating projects like Render (RNDR) or Akash Network (AKT) that offer alternative infrastructure solutions.
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Risk: If the AI bubble bursts, the resulting market correction could drag crypto down with it, as both sectors compete for the same risk-on investor capital.
Token Pricing as a Trojan Horse
Meta’s WhatsApp AI Business Bot adopting OpenAI-style token pricing for consumer-grade AI products represents a watershed moment. This legitimizes token-based monetization models that crypto has pioneered but struggled to scale. For crypto projects, this creates both validation and competitive pressure:
- The established tech giants now have the user base and distribution to implement token economies at scale.
- Crypto projects must demonstrate superior tokenomics or superior utility to compete.
The collaboration between Stripe, Visa, Mastercard, and Coinbase on a stablecoin payment platform further blurs the lines between traditional and crypto financial systems. This institutional adoption of stablecoin infrastructure could dramatically increase utility and demand for tokens like USDC, while creating a new benchmark for tokenized payment systems.
Geopolitical Crosscurrents and Crypto’s Safe Haven Narrative
The Iran-Kuwait/Bahrain conflict adds geopolitical risk to the equation, with the U.S. House passing a war powers resolution against Trump’s Iran actions. These tensions could:
- Drive demand for Bitcoin as a non-sovereign asset during periods of uncertainty.
- Accelerate development of CBDCs and blockchain infrastructure in the EU as part of its “European Technology Sovereignty Package.”
The EU’s explicit goal to ensure “no one holds the kill switch” reveals a fundamental distrust in American technological dominance. This geopolitical fragmentation creates opportunities for blockchain projects that can bridge different regulatory environments or provide neutral infrastructure.
Technical and Fundamental Signals for Crypto
Bitcoin touching the Power Law model’s low point suggests a potential technical rebound, but Citigroup’s analysis about the lack of new investors remains a fundamental constraint. This divergence between technical indicators and fundamental adoption creates a complex trading environment:
- Short-term: Technical indicators could drive price action, especially if AI market volatility increases.
- Long-term: Adoption metrics remain the ultimate determinant of sustainable value.
The predicted global chip market growth of 90% to $1.511 trillion by 2026 creates both opportunities and risks for crypto. On one hand, this validates the demand for specialized computing that crypto mining and AI infrastructure require. On the other hand, “Chipflation” could increase operational costs for mining operations and blockchain networks.
Strategic Implications for Crypto Investors
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Diversification Beyond AI Narratives: While AI-related crypto projects may see short-term hype, investors should balance these with established use cases like DeFi, infrastructure, and privacy solutions.
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Stablecoin Infrastructure: The traditional finance collaboration on stablecoin payment infrastructure represents a secular trend that could drive long-term value for stablecoins and payment tokens.
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European Blockchain Opportunities: The EU’s tech sovereignty push creates specific opportunities for European blockchain projects and those that can interface with emerging regulatory frameworks.
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Geopolitical Hedging: Given increasing global tensions, allocations to non-sovereign digital assets like Bitcoin and censorship-resistant blockchain systems may provide portfolio insurance.
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Valuation Discipline: The SpaceX valuation disconnect serves as a reminder to apply rigorous fundamental analysis even during periods of market euphoria.
The convergence of astronomical tech valuations, AI bubble warnings, and traditional finance’s token adoption creates a complex landscape for crypto. Those who can navigate these cross currents—recognizing both the validation and the warning signs—will be positioned to capitalize on the next phase of crypto’s evolution.