Tech Giants' Earnings Season Approaches: S&P 500 and Nasdaq Divergence Intensifies, AI Sector Disagreement Takes Center Stage

As the third-quarter earnings season for U.S. stocks approaches, Wall Street's focus is on the performance of tech giants. However, against the backdrop of divergent expectations for leading stocks such as Apple, Tesla, and Nvidia, the trajectories of the S&P 500 and the Nasdaq are showing increasing divergence. This phenomenon not only reflects the market's deep disagreement over the AI sector but also reveals the differentiated impact of macroeconomics and industry cycles on index composition.

Tech Giants' Earnings Expectations: Divergence and Disagreement

Apple, as a benchmark in consumer electronics, faces multiple challenges to its earnings expectations. Although the iPhone 16 series garnered some attention after its fall launch, slowing growth in the global smartphone market and pressure from competitors like Huawei have made the market cautious about Apple's revenue growth. According to industry analysts, Apple's services revenue could be a bright spot in its earnings report, but weak hardware sales may drag down overall performance.

Tesla, on the other hand, is in a completely different narrative. Despite the electric vehicle industry grappling with price wars and demand fluctuations, Tesla's investments in autonomous driving and energy storage provide new room for growth imagination. The market generally expects Tesla's delivery data to remain resilient, but whether profit margins can recover remains a key focus for investors. Some believe that Tesla's stock price has already partially priced in future technological breakthroughs, making its earnings report crucial for justifying its high valuation.

Nvidia is undoubtedly the most prominent beneficiary of the AI wave. As global tech giants continue to increase investment in AI infrastructure, demand for Nvidia's GPUs remains strong. However, market expectations for its performance are increasingly divided: on one hand, some institutions believe Nvidia's revenue growth will slow due to base effects; on the other hand, analysts point out that the shift of AI applications from training to inference could bring new demand increments for Nvidia. This disagreement is directly reflected in stock price volatility, with Nvidia's movements becoming a bellwether for the Nasdaq.

Index Divergence: Why Is the Nasdaq Stronger Than the S&P 500?

Recently, the Nasdaq has significantly outperformed the S&P 500. This phenomenon is driven by differences in the composition of the two indices. The Nasdaq has a higher weight in technology stocks, especially AI and cloud computing leaders like Nvidia, Microsoft, and Apple, whose stock prices benefit from the ongoing AI theme. In contrast, the S&P 500 has a larger proportion of traditional sectors such as financials, energy, and industrials, which are more directly affected by interest rate policies, commodity prices, and the pace of global economic recovery.

Specifically, expectations of Federal Reserve rate cuts support tech stocks. A lower interest rate environment reduces financing costs for tech companies and increases the present value of future cash flows, which is particularly favorable for high-valuation growth stocks. Meanwhile, traditional sectors face pressure from slowing earnings growth. According to market data, earnings expectations for the energy sector in the S&P 500 have been revised down due to oil price volatility, while the financial sector is under pressure from narrowing net interest margins. This structural difference has led to capital flowing from traditional sectors to tech stocks, further exacerbating the divergence between the indices.

Wall Street's Disagreement Over AI: Bubble or Opportunity?

The strong performance of the AI sector has sparked heated debate on Wall Street. Bulls argue that AI technology is at a turning point from proof of concept to large-scale commercialization, and that revenues and profits for related companies will see explosive growth. They cite historical examples, noting that while there was excessive speculation during the internet bubble, it ultimately gave rise to long-term winners like Amazon and Google. Bears warn that current valuations in the AI sector are detached from fundamentals, with some companies trading at P/E ratios exceeding 100x, and that the commercialization of AI applications may be slower than expected. They fear that if earnings season reveals disappointing results, it could trigger a sharp correction in the sector.

This disagreement is evident in changes to institutional investors' positions. Reports indicate that some hedge funds have recently reduced holdings in AI leaders and shifted to defensive sectors, while other long-term investors continue to add positions, believing AI is a core investment theme for the next decade. This tug-of-war has significantly increased volatility in the AI sector and directly impacts the Nasdaq's trajectory.

Earnings Season Outlook: Key Variables and Market Impact

The upcoming earnings season will be a critical juncture for validating market expectations. For Apple, the market will focus on its iPhone sales guidance and services gross margin. Tesla's earnings focus will be on delivery numbers, profit margins, and progress in FSD (Full Self-Driving) technology. Nvidia will need to demonstrate the sustainability of its data center business growth. Additionally, earnings from tech giants like Microsoft and Google will provide important references for the AI sector.

On the macroeconomic front, U.S. economic data, the Fed's interest rate decisions, and geopolitical risks remain external variables affecting market sentiment. If earnings season overall is solid, it could further strengthen the Nasdaq's dominance; conversely, if leading stocks disappoint, it could lead to convergence or even a reversal between the indices.

Overall, the current divergence between the S&P 500 and the Nasdaq reflects different pricing logics for tech stocks versus traditional sectors. Driven by the AI theme, the Nasdaq may continue to lead in the short term, but investors should be wary of correction risks from high valuations. The earnings season will provide new direction for the market, and Wall Street's disagreement over AI will be tested against the data.

Risk Warning

The above content is for reference only and does not constitute investment advice. Markets are risky, and investment should be cautious. The views and analysis in this article are based solely on public information and do not represent any institutional stance. Investors should make independent judgments and bear corresponding risks.