Big Tech Earnings Diverge: Can the Nasdaq Hold Its 2023 Gains Amid AI Valuation Concerns?

Earnings Divergence Intensifies: Apple Steady, Tesla Under Pressure, Nvidia Soars

As the second-quarter earnings season for U.S. stocks winds down, the "Magnificent Seven"—Apple, Microsoft, Alphabet, Amazon, Meta, Tesla, and Nvidia—have delivered starkly different results. Apple slightly beat revenue expectations thanks to continued growth in its services business, but slowing iPhone sales raised concerns. Tesla saw a year-over-year profit decline amid weak EV demand and price wars, leading to a notable stock pullback after earnings. In contrast, Nvidia benefited from surging demand for AI chips, with data center revenue doubling year-over-year, significantly beating estimates and pushing its stock near all-time highs.

This divergence reflects a structural shift within the tech industry: sluggish growth in traditional consumer electronics versus rapid expansion in AI infrastructure investment. According to multiple investment bank reports, market expectations for AI-related capital expenditures have been raised through 2025, but some analysts warn that if end-user applications fail to materialize as expected, the risk of valuation corrections will rise significantly.

Nasdaq's Year-to-Date Gains Under Pressure: AI Valuation Bubble Debate Reignites

The Nasdaq Composite has risen roughly 15% year-to-date, but volatility has increased recently. On one hand, AI leaders like Nvidia and Microsoft have driven most of the index's gains; on the other, weak performances from heavyweights like Tesla and Apple have capped upside. The market is now questioning whether AI stock valuations have become detached from fundamentals.

Currently, Nvidia's price-to-earnings ratio exceeds 40x, while the return on investment for AI spending at cloud providers like Microsoft and Alphabet remains unclear. According to Morgan Stanley's strategy team, if AI commercialization progresses slower than expected, the tech sector could face a 10%-15% valuation correction. Meanwhile, expectations that the Federal Reserve will maintain high interest rates are pressuring growth stocks. Whether the Nasdaq can hold its year-to-date gains depends on upcoming inflation data and the sustainability of AI leaders' earnings.

Capital Flows and Market Sentiment: Hedging and Chasing Coexist

From a capital flow perspective, the U.S. tech sector has shown clear divergence: AI-themed ETFs (e.g., SMH, QQQ) continue to attract significant inflows, while traditional tech ETFs have seen net redemptions. This suggests that while investors chase AI hotspots, they are also reducing exposure to cyclical tech stocks like consumer electronics and autos. Additionally, options market data shows a rise in Nasdaq put option open interest, indicating some institutions are hedging downside risks.

In terms of sentiment, the CNN Fear & Greed Index remains in "greed" territory but has retreated from highs. Analysts note that if the third-quarter earnings season brings more profit warnings, the Nasdaq could give back some gains, but the long-term AI trend still provides support.

Outlook: Focus on AI Implementation and Macro Data

Looking ahead to the second half of the year, the Nasdaq's trajectory will be driven mainly by two factors: the ability of AI-related companies to deliver on earnings—especially whether Nvidia and Microsoft can sustain high growth—and U.S. economic data, including employment, CPI, and Fed rate decisions. If AI applications achieve breakthroughs in areas like cloud computing and autonomous driving, tech valuations could find support; conversely, if the macro environment deteriorates, the Nasdaq could face a correction of 10% or more.

Overall, the earnings divergence among the Magnificent Seven is already clearly reflected in stock prices. The sustainability of the Nasdaq's year-to-date gains depends on whether the AI bubble can be absorbed by fundamentals. Investors should be wary of correction risks in high-valuation stocks while also focusing on reasonably valued segments within the AI supply chain.

Risk Warning

The above content is for reference only and does not constitute investment advice. Markets involve risk; invest with caution. The data and views presented are based on publicly available information and are not guaranteed for accuracy or completeness. Investors should make independent judgments and bear investment risks.