# Bubble Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Bubble", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

The More It Rises, the More Dangerous? The Systemic Risks Behind SpaceX's Soaring Valuation

Summary: The article raises concerns about the systemic risks posed by SpaceX's skyrocketing valuation, arguing that modern market mechanics, rather than fundamentals, are driving its price discovery. Following SpaceX's market capitalization surpassing $3 trillion in after-hours trading, the author contends that the market is no longer functioning properly. The core issue is not SpaceX's business prospects but the unhealthy market structure surrounding it. With limited float and the imminent launch of options trading, the stage is set for a potential "gamma squeeze"—a feedback loop where market makers hedging call options are forced to buy shares, pushing the price higher and attracting more speculative momentum traders. This mechanism, seen previously with Tesla and meme stocks, can decouple valuation from financial reality. The danger escalates as extreme valuations force passive funds, ETFs, pensions, and major indices to hold the stock. If SpaceX grows large enough—hypothetically reaching $5 or even $10 trillion—its performance would increasingly dictate broader market indices, embedding systemic risk. The author warns that when price appreciation itself becomes the primary bullish thesis, the market transforms from a capital allocation mechanism into a self-reinforcing speculative machine, endangering the retirement savings of ordinary investors tied to passive strategies. The piece questions whether such a system can still perform its fundamental role of price discovery.

marsbit06/17 03:53

The More It Rises, the More Dangerous? The Systemic Risks Behind SpaceX's Soaring Valuation

marsbit06/17 03:53

If the AI Bubble Is Already Bursting, Who Will Truly Survive?

If the AI Bubble is Bursting, Who Will Remain? The debate over an AI bubble is intensifying, with figures like Ray Dalio warning of high levels and Jensen Huang seeing immense, early-stage opportunity. Both views hold truth: a speculative bubble in capital markets likely exists, mirroring the dot-com era, but the underlying technological shift is real and transformative. History shows that while bubbles burst—wiping out overvalued companies and speculative capital—they often leave behind critical physical and digital infrastructure. The dot-com bust, for instance, eliminated many firms but left the global fiber optic networks and data centers that enabled the rise of Amazon, Netflix, and cloud computing. Today's massive AI infrastructure investments (projected at trillions by 2030) in data centers, power, cooling, and GPUs may follow a similar path, creating the foundation for future applications. A key divergence from past bubbles is the "Jevons Paradox" effect in AI. As the cost of AI inference has plummeted by over 99.7% since 2023, enterprise spending on AI has skyrocketed. Cheap "tokens" have unlocked vast, previously uneconomical use cases, moving AI from simple chatbots into core business workflows—code generation, legal document review, scientific simulation, and financial analysis. The market is now in a phase of self-correction, weeding out superficial "API-wrapper" startups, but this cleansing process strengthens the ecosystem. The long-term trajectory is clear. The value is gradually shifting from capital expenditure (CapEx) on hardware to operational expenditure (OpEx) on transformative applications. As AI becomes a utility, the winners will be firms that deeply integrate it to solve vertical industry problems in law, healthcare, finance, and manufacturing. The泡沫 will recede, but the foundational shift towards an AI-powered era across all sectors is irreversible. The underlying productive force of AI contains no bubble.

marsbit06/15 04:42

If the AI Bubble Is Already Bursting, Who Will Truly Survive?

marsbit06/15 04:42

Arthur Hayes' New Article: AI Bubble Nears Bursting, Crypto Market Faces Short-Term Pressure

In a new essay, Arthur Hayes argues that the AI market bubble is approaching a rupture, which will place significant short-term pressure on crypto assets. He identifies rising oil prices, a trio of massive tech IPOs (SpaceX, Anthropic, OpenAI), and potential anti-AI political rhetoric from Trump as the three key catalysts for a correction. Hayes posits that the prolonged blockage of the Strait of Hormuz will drive energy prices higher, increasing operational costs for data centers and squeezing AI company profits. Simultaneously, the market may struggle to absorb the upcoming wave of multi-trillion dollar tech IPOs. Furthermore, with high inflation hurting his election chances, Trump could pivot to attacking the AI sector with proposals for heavy taxation and regulation to win over voters, spooking the market. Hayes notes that nearly all new dollar liquidity since 2022 has flowed into the AI sector, leaving little for Bitcoin, explaining its recent underperformance. He believes an AI stock crash would trigger a broad risk-off sentiment and credit contraction, dragging down crypto in the near term. Consequently, his fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies, retaining only Bitcoin and Ethereum while building positions in traditional energy stocks. He anticipates Bitcoin will bottom and resume its bull run only after the AI bubble pops and a new monetary easing cycle begins.

marsbit06/09 11:06

Arthur Hayes' New Article: AI Bubble Nears Bursting, Crypto Market Faces Short-Term Pressure

marsbit06/09 11:06

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Arthur Hayes argues that the current AI market is a bubble poised to burst, which will exert downward pressure on the crypto market in the near term. The core trigger is rising oil prices due to the US-Iran conflict and a blockade of the Strait of Hormuz. Higher energy costs directly increase the operational expenses of AI data centers, squeezing profit margins for companies like Google, Anthropic, and OpenAI. Hayes predicts that persistent inflation from high oil prices will force Trump, in a bid to win the November election, to turn public sentiment against the AI industry. He may propose regulations and taxes on data centers and AI companies to appeal to voters concerned about costs and job displacement. Such political rhetoric could shatter market confidence. Furthermore, the market is unlikely to healthily absorb the massive concurrent IPOs of SpaceX, Anthropic, and OpenAI, which together seek valuations in the trillions. The combination of soaring energy costs, overwhelming equity supply, and negative political pressure will puncture the AI bubble. Hayes notes that nearly all new USD liquidity since 2022 has flowed into AI, leaving crypto like Bitcoin behind. When the AI bubble bursts, liquidity will contract sharply, pulling down all risk assets, including cryptocurrencies. In response, Hayes's fund, Maelstrom, has sold all AI-related stocks and non-core cryptocurrencies. It maintains core positions in Bitcoin and Ethereum while increasing exposure to energy sector equities, betting on rising oil and gas prices. He expects Bitcoin to bottom after the AI-led market decline, before rallying again with future monetary easing.

Foresight News06/09 06:17

Arthur Hayes Analysis: AI Bubble Nears Burst, Crypto Market Faces Short-Term Pressure

Foresight News06/09 06:17

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

Wang Chuan: Reflections on Investment Anxiety and Market Cycles After Observing a 30x Gain in a Storage Stock (Part 7) – A Quarter-Century Cycle This article examines the cyclical nature and inherent risks in technology hardware investments, using the storage and semiconductor sectors as examples. It criticizes the misleading practice of "annualized" Net Dollar Retention (NDR) rates, where short-term growth is extrapolated unrealistically. A key concept explored is "reflexivity" – demand driven by panic, exploration, and liquidity during market booms, which can vanish just as quickly when conditions reverse. This reflexivity exists both in product demand and among speculative stock buyers, creating powerful feedback loops that inflate prices during upturns and exacerbate crashes during downturns. The author highlights a major risk for hardware sectors: unlike assets with defined cycles (e.g., Bitcoin's halving), there's no guarantee of a swift recovery post-crash. Companies like Micron, Intel, and Cisco took roughly a quarter-century to surpass their 2000 highs, enduring drawdowns exceeding 80%. This is attributed to the "bullwhip effect" in supply chains, where demand collapses instantly but过剩产能 persists, and a migration of narrative-driven capital. High-valuation stories吸引 speculative funds during growth phases, but these funds quickly depart for the next hot narrative once growth slows, leaving behind stronger companies with much lower valuations. The piece warns of dangerous mental models formed during bull markets: 1) equating current strong demand with perpetual high growth, and 2) believing that making fast, large profits is easy. Citing巴菲特, the author notes that easy money undermines rationality, likening speculators to Cinderella at a ball with a clock that has no hands. The current phase presents an asymmetric risk-reward scenario: potential for further gains exists, but the downside risk is an 80%+ drawdown and a multi-decade wait for breakeven, which reflexive speculators cannot tolerate. The hypothetical investor "老王" (Lao Wang), who achieved a 30x return, is used to illustrate potential pitfalls. Leverage could lead to a wipeout during a sharp correction. Even without leverage, ingrained beliefs in easy money would likely lead him to double down after losses, expecting a quick rebound. Instead, he might face a protracted decline, depleting his resources through frantic trading as the high-growth narrative fades. The conclusion references Schopenhauer, comparing those who have seen multiple market cycles to an audience seeing the same magic trick repeatedly—once the illusion is understood, its power is gone.

marsbit06/09 02:16

Wang Chuan: After Investing in Storage Stocks and Seeing a Thirty-Fold Return, How to Remain Unanxious (Part 7) - A Quarter-Century Cycle

marsbit06/09 02:16

Wang Chuan: How to Avoid Anxiety When the Neighbor, Lao Wang, Made Thirty Times His Investment in Storage Stocks (7) - A Quarter-Century Cycle

Wang Chuan: Reflections on a Quarter-Century Cycle – How to Stay Calm After a 30x Gain on Storage Stocks (Part 7) This article continues the discussion on investment pitfalls. It highlights the deceptive use of metrics like the "Annualized Net Dollar Retention Rate" by some companies to inflate growth projections. The core analysis focuses on the "reflexivity" present in both product demand and financial markets during boom periods. In a bubble, speculative and fear-driven demand in the real economy interacts with speculative, leveraged buying in financial markets, creating a powerful upward feedback loop. This dynamic reverses sharply when faced with physical or liquidity constraints, leading to a cascading downturn. The hardware and semiconductor sectors face unique risks. Unlike assets with defined cycles, there's no guarantee of a swift recovery post-crash. Historical examples like Micron, Intel, and Cisco show it can take decades to surpass previous peaks after severe drawdowns (80-95%). This is due to the "bullwhip effect" in supply chains—demand vanishes quickly while过剩产能 persists—and the migration of speculative capital and growth narratives to new sectors once momentum slows. Companies may have stronger fundamentals years later, but the speculative "soul" of extreme valuations is long gone. The author warns of psychological traps for new investors: mistaking temporary, intense demand for permanent growth, and believing that making quick, large profits is easy. Citing Buffett, the piece cautions that easy money erodes rationality. The current phase presents an asymmetric risk-reward scenario: potential for further gains versus the risk of an 80%+ drawdown and a multi-decade recovery wait—an outcome reflexive speculators cannot endure. The hypothetical "Lao Wang" who made 30x may be wiped out by leverage or, driven by the "get-rich-quick" mindset, may repeatedly try to recover losses until exhausted, failing to recognize that the high-growth narrative has ended. The piece concludes with Schopenhauer's analogy: those who've seen multiple cycles are like an audience watching the same magic trick repeatedly—the illusion no longer works.

链捕手06/09 02:02

Wang Chuan: How to Avoid Anxiety When the Neighbor, Lao Wang, Made Thirty Times His Investment in Storage Stocks (7) - A Quarter-Century Cycle

链捕手06/09 02:02

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

From "The Big Short" to San Francisco: The Frenzy and Dizziness in the AI Bubble The article captures the intense, frenetic atmosphere in San Francisco, the epicenter of the current AI boom. Drawing a parallel to the "smell of money" from *The Big Short*, the author observes a city gripped by a singular status game centered entirely on AI and technology. This manifests in a palpable, caffeine-fueled anxiety ("people are shaking"), rampant comparison using vanity metrics like funding rounds, and pervasive "Big Bubble Behavior." The piece explores the city's stark contrasts: its dystopian streets versus beautiful vistas, and the disconnect between the doomsday concerns of some AI researchers and the optimistic, growth-focused "GTM" teams. It critiques the obsession with "math genius" founders as the new ticket to outsized returns, akin to scouting sports prodigies. Referencing economic historian Carlota Perez's "frenzy phase" and Karl Polanyi's "double movement," the author frames the boom as a period where financial speculation detaches from fundamentals, with society potentially becoming subordinate to a new economic force driven by "geniuses in data centers." Ultimately, while acknowledging the unprecedented wealth creation and party-like energy, the article concludes with cautionary advice: when the music is playing, you should dance, but don't get drunk. The core reminder is to stay grounded, avoid distorted judgment, and maintain perspective amidst the euphoria.

marsbit06/08 12:11

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

marsbit06/08 12:11

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbit06/08 10:41

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbit06/08 10:41

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