ANTHROPIC NUMBERS WEREN'T GOOD ENOUGH, MARKETS HAVE TO FIGURE OUT WHAT TO DO | MARKET OPEN

SUMMARY

Amit Kukreja provides an in-depth analysis of a volatile trading day marked by sharp declines in AI and semiconductor stocks, surging bond yields, and mounting macroeconomic and geopolitical pressures. The discussion covers the interplay between corporate debt, inflation data, market sentiment, and the sustainability of the AI-driven tech buildout, with additional focus on political and industry developments impacting global markets.

MAIN POINTS

• Major AI and semiconductor stocks plunge in pre-market trading following disappointing earnings and macroeconomic data. [2:00]
• The S&P 500 experiences a rare significant pullback, reminiscent of previous market corrections tied to rate hikes and midterm elections. [5:00]
• Bond yields decline despite high inflation prints, raising questions about the inverse correlation between stocks and bonds. [8:00]
• Market participants debate whether the AI trade's correction is a symptom of deeper structural issues or temporary sentiment shifts. [11:00]
• Anthropic's Q3 revenue growth disappoints relative to market expectations, fueling skepticism about AI company valuations. [14:00]
• Concerns mount over the sustainability of AI companies' growth trajectories and the high valuations commanded by firms like Anthropic. [17:00]
• Debate intensifies over whether compute constraints or lack of financing are slowing AI company growth, with implications for future valuations. [20:00]
• High-beta growth stocks and speculative names experience sharp corrections, while defensive stocks like Visa and Mastercard outperform. [23:00]
• Speculation arises about possible hedge fund liquidations and the role of leverage in amplifying the sell-off, especially in South Korea. [26:00]
• Elon Musk's comments on future RAM supply and China's potential market entry add to volatility in memory and semiconductor stocks. [29:00]
• South Korean markets face severe stress, with government officials intervening amid a 40% drawdown and social concerns. [32:00]
• Geopolitical tensions, particularly involving Iran and potential U.S. military action, further unsettle global markets and oil prices. [35:00]
• TSMC posts strong earnings, but positive results are overshadowed by broader market fears and skepticism about AI supplier sustainability. [38:00]
• Market rotation is observed as capital shifts from AI and semiconductor names to sectors like healthcare and consumer staples. [41:00]
• Market open sees further declines in AI and semiconductor stocks, while traditional banks and consumer companies show relative strength. [44:00]
• Short covering and potential for a relief rally are discussed, but uncertainty remains high due to structural and sentiment-driven selling. [48:00]
• Rocket Lab and other high-multiple growth stocks are hit hard, with investors questioning the sustainability of elevated valuations. [52:00]
• Short sellers weigh whether to cover positions or hold for further declines, given the lack of a clear catalyst for a reversal. [56:00]
• Insider trading activity and company fundamentals are contrasted, with some investors favoring cash-generative value stocks over speculative growth. [1:01:00]
• Repeated sharp corrections in AI stocks prompt debate over whether a lasting valuation reset is underway. [1:04:00]
• Political developments, including midterm election dynamics and declining engagement on platforms like Truth Social, are noted as market factors. [1:09:00]
• Space and defense stocks are discussed as part of the broader high-multiple growth cohort, with sector-specific risks highlighted. [1:14:00]
• Extreme fear readings and volatility indexes suggest potential for a technical bounce, but conviction in buying the dip is low. [1:19:00]
• Jensen Huang of Nvidia addresses concerns about the AI buildout's sustainability, emphasizing long-term demand but offering limited reassurance on near-term risks. [1:22:00]
• Options market dynamics and the challenges of timing short positions are discussed, with reference to prominent traders' strategies. [1:30:00]
• Cerebras CEO reveals capacity constraints as a key reason for losing OpenAI business, raising questions about transparency in AI IPOs. [1:35:00]
• CNBC panel discusses rising cost of capital, political resistance to data centers, and the centrality of AI infrastructure to U.S. economic growth. [1:40:00]
• Jensen Huang argues that AI infrastructure demand is more diversified than market fears suggest, but debate continues over required revenue growth. [1:50:00]
• A brief market rally coincides with Jensen Huang's comments, but the correlation between AI stock rebounds and rising bond yields persists. [1:59:00]
• Local political backlash against data centers emerges as a new risk, with ballot initiatives and community opposition affecting future buildouts. [2:12:00]
• Geopolitical events, including attacks on energy infrastructure and shifting alliances, continue to influence oil prices and market sentiment. [2:30:00]
• A brief relief rally in AI and semiconductor stocks fades, with market participants remaining cautious amid ongoing volatility and uncertainty. [2:41:00]
• The session closes with continued focus on bond yields, oil prices, and the unresolved questions surrounding AI trade sustainability and credit markets. [2:50:00]

DETAILED ANALYSIS

The trading session opened against a backdrop of mounting anxiety in global equity markets, particularly within the AI and semiconductor sectors. After a prolonged period of gains, the S&P 500 and related indices experienced a sharp pullback, echoing previous corrections tied to aggressive rate hike cycles and political uncertainty around U.S. midterm elections. The initial catalyst for the sell-off was a combination of disappointing inflation data—both CPI and PPI prints came in hotter than expected—and a cascade of negative earnings surprises from key technology and AI-related firms.

Notably, Anthropic's Q3 revenue, while showing robust year-over-year growth, failed to meet elevated market expectations, leading to a reassessment of the company's multi-trillion-dollar valuation and, by extension, the broader AI trade.

The market's reaction was compounded by a breakdown in the typical inverse relationship between bond yields and equities. Despite the inflationary backdrop, bond yields began to decline as investors rotated out of high-beta growth stocks and into perceived safe havens, such as U.S. Treasuries, consumer staples, and financials.

This dynamic was interpreted by some as evidence that the AI-driven corporate debt issuance—particularly from hyperscalers like Meta, Microsoft, and Google—was crowding out demand for government debt, thereby distorting traditional market correlations. The cost of capital for AI buildouts, especially for companies reliant on debt financing, became a central concern, with the market questioning whether the current pace of capital expenditure could be sustained without further upward pressure on yields.

Throughout the session, speculation swirled regarding the possibility of forced liquidations by leveraged hedge funds, particularly in the wake of South Korea's KOSPI index triggering circuit breakers and experiencing a 40% drawdown. The pain in South Korean memory stocks, exacerbated by Elon Musk's public comments about future RAM supply and Chinese competition, reverberated through global semiconductor names, including Micron, Samsung, and SK Hynix. The South Korean president's public intervention, linking the national suicide hotline to the market downturn, underscored the severity of the crisis and its societal impact.

As the day progressed, market participants debated whether the correction was primarily a function of macroeconomic headwinds—such as rising inflation, geopolitical tensions with Iran, and the surging cost of oil—or if it was being amplified by structural issues within the AI trade itself. The failure of AI companies like Anthropic to deliver exponential growth, combined with concerns about their ability to access affordable compute and financing, led to a broader questioning of the sustainability of current valuations. This skepticism extended to AI suppliers, with the logic that if the end customers (Anthropic, OpenAI) could not justify their valuations or profitability, their suppliers (Broadcom, Nvidia, TSMC) would also face headwinds.

Defensive sectors and value stocks outperformed, with companies like Visa, Mastercard, Coca-Cola, and McDonald's attracting capital due to their stable cash flows and lower sensitivity to macroeconomic shocks. This rotation was further supported by prominent investors, such as Bill Ackman, who favored high-quality, cash-generative businesses over speculative growth plays. Meanwhile, high-multiple names in both AI and adjacent sectors like space and defense (e.g., Rocket Lab, SpaceX, Anduril) suffered significant declines, as investors reassessed the risk-reward profile of companies trading at elevated sales multiples without clear paths to profitability.

The session was marked by extreme volatility, with several attempts at relief rallies quickly fading as bond yields resumed their ascent. The correlation between rebounds in AI stocks and rising yields became a focal point, suggesting that the market remained trapped in a feedback loop where capital flows into equities triggered renewed selling in bonds, and vice versa. This dynamic was further complicated by options market activity, with short sellers and traders struggling to time their positions amid rapid intraday reversals and technical bounces.

Industry commentary provided little reassurance. Nvidia CEO Jensen Huang, speaking at an event in Sweden and in a podcast, acknowledged the importance of AI infrastructure but downplayed the need for a handful of AI labs to generate trillions in revenue to justify ongoing capex. Instead, he emphasized the diversification of demand across classical computing, hyperscalers, and a new wave of AI startups.

However, this perspective was met with skepticism, as market participants noted that the bulk of current spending commitments and supplier backlogs remained concentrated among a small number of high-profile AI firms. The recent experience of Cerebras, whose CEO admitted to losing OpenAI business due to capacity constraints not disclosed at IPO, further eroded confidence in the transparency and reliability of growth projections within the sector.

Political and geopolitical developments added to the uncertainty. The approach of U.S. midterm elections, local backlash against data center construction (as seen in Ohio), and escalating tensions in the Middle East—highlighted by attacks on energy infrastructure and shifting alliances—contributed to volatility in oil prices and risk assets. The potential for military escalation involving Iran and the U.S. was cited as a wildcard that could further disrupt both equity and bond markets, particularly if it led to sustained increases in energy costs and inflation.

As the trading day drew to a close, the market remained deeply divided over the path forward. Technical indicators such as the VIX and fear and greed indexes signaled extreme fear, typically a precursor to at least a short-term bounce. However, conviction in buying the dip was low, with many investors preferring to wait for greater clarity on the underlying drivers of the sell-off.

The unresolved questions surrounding the sustainability of the AI trade, the health of credit markets, and the interplay between macroeconomic and geopolitical risks left market participants bracing for continued volatility in the days ahead.

LINKS

• Amit Kukreja's Twitter/X profile for real-time market commentary.
• Amit's Deep Dives Substack for in-depth financial analysis and market research.
• Free news terminal providing market news and data.

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