Why The Nasdaq Just Hit Correction Territory

SUMMARY

Ed Elson hosts an in-depth discussion with Torsten Sløk and Justin Wolfers on the recent Nasdaq correction, the risks surrounding AI-driven tech investments, and the implications of President Trump's new tariff regime. The episode explores the divergence between market fundamentals and pricing, the challenges of AI-related debt, and the broader economic impact of tariffs and inflation.

MAIN POINTS

• The Nasdaq 100 enters correction territory as semiconductor stocks lead a significant market decline. [1:30]
• Credit spreads and CDS prices for major tech companies widen, raising concerns about the sustainability of AI infrastructure investments. [6:00]
• Upcoming hyperscaler earnings are seen as more crucial than the Federal Reserve meeting for market direction, with attention on capital expenditure trends. [11:00]
• Investors are advised to diversify away from AI-centric assets, with value investing and non-AI sectors highlighted as safer alternatives. [15:00]
• President Trump implements new tariffs on over 99% of US imports, using Section 301 of the Trade Act of 1974 as legal justification. [18:00]
• Economist Justin Wolfers critiques the tariff strategy, arguing it is driven by political motives and fails to serve US economic interests. [25:00]
• Debate intensifies over the Federal Reserve's upcoming interest rate decision amid persistent inflation and supply shocks from tariffs and geopolitical tensions. [31:00]

DETAILED ANALYSIS

The episode opens with a sharp focus on the recent downturn in technology stocks, particularly those tied to artificial intelligence and semiconductor manufacturing. The Nasdaq 100's entry into correction territory—defined as a 10% drop from recent highs—signals a shift in investor sentiment, especially as chipmakers like Micron and SK Hynix experience steep declines. This market movement is notable given that semiconductor stocks have been primary drivers of S&P 500 returns in the first half of the year, raising questions about the market's trajectory if these stocks continue to falter.

Torsten Sløk, Chief Economist at Apollo Global Management, provides a detailed examination of the underlying causes of this sell-off. He points to a significant increase in debt issuance by hyperscalers—large technology firms building AI infrastructure—which has led to a surge in investment-grade credit supply. This influx has caused credit spreads to widen, indicating either increased perceived risk or simply a mismatch between supply and demand for this type of debt.

The cost of insuring against default (CDS spreads) for major tech firms like Oracle, SpaceX, Google, Amazon, and Nvidia has also reached record highs, despite these companies maintaining strong profitability and robust credit fundamentals. This paradox—solid fundamentals but deteriorating market pricing—reflects growing uncertainty about the long-term payoff of massive AI investments.

The discussion delves into the timing of this shift in sentiment. Recent events, such as Amazon's debt issuance and Google's first-ever negative free cash flow, have prompted investors to reconsider the sustainability and return on investment of ongoing AI buildouts. The conversation highlights two critical races: the need for AI investments to deliver tangible returns in the form of higher profit margins and earnings growth, and the challenge of financing rapid infrastructure expansion as borrowing costs rise.

With hyperscaler earnings reports imminent, market participants are closely watching for signals on whether capital expenditures will continue to accelerate or begin to moderate, which could influence both equity and credit markets.

Sløk emphasizes the pervasiveness of AI exposure across traditional asset classes. The classic 60/40 portfolio, once considered a diversified strategy, now faces concentration risk as both equities and bonds are increasingly tied to the AI sector. Even venture capital, historically diversified across sectors like pharmaceuticals and biotech, is now overwhelmingly focused on AI.

As a result, Sløk recommends that investors seek diversification by allocating to value-oriented investments and sectors less directly linked to the AI trade. Value stocks, private equity, private credit, and commodities not associated with AI are identified as potential safe havens amid the current volatility.

The second half of the episode shifts to macroeconomic policy, with Justin Wolfers analyzing the latest round of tariffs imposed by President Trump. These tariffs, enacted under Section 301 of the Trade Act of 1974, apply to over 99% of US imports from 80 countries, with rates differentiated based on each country's stance on forced labor. Wolfers critiques the legal and economic rationale behind the tariffs, noting that previous attempts were struck down by the Supreme Court and that the new measures lack the flexibility to serve as effective bargaining tools in international negotiations.

He argues that the tariffs are politically motivated and ultimately harm American businesses and consumers by raising input costs and contributing to inflation.

Wolfers further explores the broader economic implications, drawing parallels between the administration's approach to trade and foreign policy. He characterizes both the tariff regime and the ongoing conflict in Iran as supply shocks that raise costs and slow economic growth, challenges that monetary policy alone cannot resolve. While the Federal Reserve faces pressure to respond to persistent inflation—now hovering around 3.5%—Wolfers suggests that patience may be warranted, as the inflationary effects of tariffs could be temporary unless further escalations occur.

The episode concludes with a discussion of the upcoming Fed interest rate decision, highlighting the unusual degree of market uncertainty and the rigorous debate among policymakers about the appropriate path forward.

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