News linked to both this project and an event.
: Economist and Bitcoin critic Peter Schiff stated that as Chinese AI model competitors accelerate their rise, the AI bubble is further deflating. The Kimi K3 launched by Moonshot AI is intensifying low-cost AI competition in China, putting pressure on the valuations of US AI-related companies. The current market "is not a bubble in AI technology itself, but a bubble in AI stocks," and he believes this bubble may have already started to burst.Peter Schiff mentioned that AI-related stocks are showing weakness, with $SPCX currently trading below $121, approximately 11% lower than its IPO price and over 46% down from its all-time high. As low-cost AI models continue to emerge, the market's previously high growth expectations for AI companies may face reassessment, and investors need to be wary of valuation correction risks for AI-themed stocks. However, Peter Schiff also emphasized that AI technology itself is not a bubble; what is truly being impacted is the capital market valuation frenzy centered around the AI theme.
Odaily News Renowned trader Ansem posted on X, stating that buybacks (for token prices) actually don’t have much effect.Ansem further noted that Hyperliquid's annualized revenue is $800 million, while Pump.fun's annualized revenue is $440 million; however, HYPE's FDV is as high as $65 billion, whereas PUMP's FDV is only $1.4 billion. Both teams regularly use a portion of their business profits for buybacks, yet their P/S ratios are vastly different.This disparity doesn't stem from how much revenue the businesses actually generate, but rather reflects the market's "trust premium" for the teams — a trust determined by their actions and decisions in the market. Hyperliquid never over-promises, focuses purely on product delivery, and generously rewards core users who contribute the most to the platform based on established metrics. In contrast, Pump.fun generated $1 billion in revenue, raised another $1 billion in an ICO, and promised users an airdrop, but has yet to deliver. Despite being one of the most successful and profitable businesses in the crypto industry, they lack a social consensus bond with their core user base and thus cannot achieve the trust premium that Hyperliquid enjoys.Therefore, what determines a business's valuation includes not only the "tangible value" derived purely from revenue and other metrics but also "intangible value." Trust, memetics, and attention are all crucial in the market, yet they are currently discussed far too little.
Odaily, "White-Haired Stock Guru" Serenity posted on X, reviewing his past experiences where his investment views faced skepticism. He stated that many original investment ideas initially face strong opposition, but ultimately the market becomes the standard for judging right and wrong. He has faced significant criticism for being bullish on several companies, for example:$AXTI: Early on, it was questioned as a "scam company," and related discussions even led to a ban from Reddit's WSB forum. However, it later received coverage from Reuters, and the performance of the Indium Phosphide (InP) substrate industry company, along with institutional investor validation, confirmed its logic.$RPI: Initially labeled a "meme stock" by the market, analysts believed it lacked fundamentals. However, earnings reports showed the company's future revenue growth expectation reached 58%, and it was subsequently re-evaluated as a high-growth AI hardware company.$SIVE: Once considered a "meme stock" by numerous investors, it later gained institutional buying support, including attention from Fidelity Research, JPMorgan Chase, and others, and announced partnerships with companies like Jabil and GlobalFoundries.Serenity stated, "The market will ultimately decide what is right or wrong, not the angry comments or posts on X (formerly Twitter)." He added that as each investment thesis gets validated one by one, the eventual market performance overshadows the early noise. He also listed several other cases that were initially doubted but later gained market recognition, including:$AAOI: Near $30, management was questioned as "untrustworthy";$LITE: At $300, the photonics industry was considered to be in a bubble;$RKLB: At $20, it was dismissed as just a low-revenue launch company;$HOOD: At $20, it faced negative sentiment due to the GameStop trading restriction incident;$IQE: Considered just a small UK company lacking partnerships in the photonics field;$SOI: Analysts at a European bank considered its valuation too high;$NBIS: Questioned for having no competitive moat;$INTC: The market thought it couldn't compete with TSMC;$MRVL: The market feared its ASIC market share would be taken by Broadcom;$AEHR: The market misinterpreted its earnings report, thinking the company lacked revenue;$EWY: The market believed the South Korean semiconductor cycle was in a bubble.
Odaily News, Jack Mallers, founder of Strike and CEO of Twenty One Capital, stated that Bitcoin’s drop below $63,000 is not merely a sentiment issue but a reflection of the reality of insufficient liquidity in the global financial system.Mallers believes that while U.S. consumer confidence is at historic lows, the S&P 500 remains at all-time highs, indicating that traditional stock market signals have been distorted by policy intervention. In contrast, Bitcoin, as a 24/7 trading asset, more closely mirrors the true conditions of global liquidity and market stress.He emphasized that during periods of liquidity tightening, investors often "sell what they can, not what they want." Therefore, Bitcoin's decline may not signify a collapse of long-term conviction but rather forced selling under capital pressure.Additionally, Mallers questioned Strategy's perpetual preferred stock financing structure, suggesting it could place the company in a capital structure dilemma when liquidity is needed in the future, forcing trade-offs among different stakeholders.
According to the latest forecast from Morgan Stanley, global bond issuance related to artificial intelligence (AI) could approach $570 billion in 2026, more than doubling from last year's figure.Given that capital expenditures by hyperscalers are expected to surpass $1 trillion by 2027, Morgan Stanley believes the pace of bond issuance will accelerate further in the second half of this year.As of the end of May this year, approximately $236 billion in AI-related debt financing had been issued globally, roughly four times the volume seen during the same period last year.As tech companies continue to escalate their spending on AI, which increasingly exceeds what their own profitability can cover, debt financing is becoming an increasingly important source of capital for them.Morgan Stanley noted that to diversify their funding channels, hyperscalers are increasingly issuing bonds outside of the US dollar market. For instance, giants like Google's parent company Alphabet and Amazon have issued substantial euro-denominated bonds in the European market. (Cailianshe)