US Stock Market Earnings Season Dynamics: Tech Giants Show Performance Divergence, AI and Cloud Computing Are Major Highlights
In August 2026, the US stock market entered a critical earnings season as major technology companies sequentially released their second-quarter results. Market data indicates that despite overall economic uncertainty, tech giants delivered better-than-expected results, driven by the strong performance of their AI and cloud computing businesses. This article will deeply analyze the main highlights of this earnings season, market reactions, and investment insights for Hong Kong and Taiwan investors.
Tech Giant Performance Divergence: AI and Cloud Computing as Growth Engines
During this earnings season, US tech giants displayed a clear pattern of performance divergence. Microsoft and Alphabet (the parent company of Google) exceeded analyst expectations in both revenue and profit, thanks to the robust growth of their AI and cloud computing businesses. Microsoft Azure cloud services revenue grew by 28% year-on-year, with AI-related contributions accounting for over 15%, making it a primary growth driver. Alphabet's cloud business also performed brilliantly, with revenue growing by 24%, significantly boosted by revenue growth from AI advertising technology optimization.
In contrast, Apple and Amazon faced certain challenges. While iPhone sales remained stable, the growth was sluggish, leading to total revenue growing by only 3%, which was below market expectations. Amazon's e-commerce business was affected by slowing consumer spending, with growth decelerating to 5%, but its AWS cloud services maintained a 20% growth, serving as the main support for its performance.
Notably, NVIDIA, a leader in AI chips, reported a 45% year-on-year revenue increase and a significant 68% net profit increase this quarter, far exceeding market expectations. CEO Jensen Huang stated at the earnings conference, "The demand for AI computing is experiencing exponential growth and is expected to remain strong for the next few years." This optimistic outlook drove the stock price up by over 8% after the earnings release.
Artificial Intelligence and Semiconductor Industry: Comprehensive Explosion from Hardware to Applications
The AI-related industry chain showed particular strength during this earnings season. Besides NVIDIA, AMD and Intel also delivered solid results. AMD's data center business grew by 32% year-on-year, with AI chip revenue rising to 40%; although Intel's overall performance was below expectations, its AI accelerator business achieved an impressive 50% growth.
AI applications at the software level were also impressive. Enterprise software companies like Adobe and Salesforce reported that customer retention rates increased by 5-8% and average customer spending increased by 12% after integrating AI features. Adobe's CEO stated, "AI is reshaping the creative industry, and our AI tools have helped customers improve efficiency by up to 40%."
Semiconductor equipment manufacturers Applied Materials and Lam Research also reported strong performance, growing by 22% and 18% respectively. This indicates an acceleration in global chip manufacturing investment, especially in advanced process nodes.
Traditional and Emerging Industries: Clear Differentiation
Compared to the stellar performance of the technology sector, traditional industries showed relatively flat results this fiscal quarter. Major financial institutions such as JPMorgan and Bank of America reported largely flat revenues, but narrowing net interest margins led to sluggish profit growth. The energy sector, affected by oil price fluctuations, saw ExxonMobil and Chevron increase revenues but decline in profits. In emerging industries, clean energy and biotechnology performed well. Despite facing challenges from slowing traditional auto sales, Tesla's energy storage business revenue grew by 65% year-on-year, partially offsetting the decline in its automotive division. Biotechnology companies Moderna and BioNTech continue to invest heavily in mRNA technology, with R&D spending up 40% year-on-year, laying the foundation for future growth. Market expectations for different industries are also clearly diverging. According to a recent Goldman Sachs research report, investors assigned an average P/E ratio of 28 times for technology and AI-related companies in 2024, compared to only 15 times for traditional industries, indicating a more optimistic growth outlook for the tech sector. Market Reactions and Investment Strategies: How Hong Kong and Taiwan Capital is Positioning The market reaction after the earnings release showed a distinct pattern of "buying expectations and selling reality." Tech giants like Nvidia and Microsoft, which exceeded expectations, saw their stock prices rise after the earnings release, while Apple and Amazon, whose performance fell short of expectations, experienced pullbacks. Overall, the Nasdaq index rose by 3.5% during the earnings season, outperforming the Dow Jones Industrial Average's 1.8% increase. In terms of analyst rating adjustments, UBS and Morgan Stanley upgraded their ratings for AI chip stocks like Nvidia and AMD, while simultaneously downgrading some traditional tech stocks. Goldman Sachs advised investors to adopt a "barbell" allocation strategy, which involves allocating to both high-growth AI concept stocks and high-dividend defensive tech stocks. For investors from Hong Kong and Taiwan, this earnings season provided several key investment insights: AI Industry Chain Layout: It is recommended to allocate to the AI industry chain through ETFs or individual stocks, especially in segments such as chip design, cloud computing, and AI applications. Hong Kong and Taiwan investors can monitor Chinese AI-related companies listed in the US, such as Baidu and SenseTime. Cloud Computing Leaders: Although cloud computing leaders like Microsoft and Amazon have high valuations, their growth certainty is strong, making them suitable for core allocations. Hong Kong and Taiwan investors can invest directly through US stock accounts or indirectly through related ETFs. Defensive Allocation: In a volatile market environment, allocating to some high-dividend defensive tech stocks, such as Apple and Cisco, can provide stable cash flow and downside protection. Industry Rotation Opportunities: Pay attention to the cyclical recovery opportunities in the semiconductor industry, especially equipment manufacturers and material suppliers, which may see valuation repair. Future Outlook: The Long-Term Value of AI and Cloud Computing Looking ahead, as enterprise digital transformation deepens and AI technology is widely adopted, cloud computing and AI-related businesses will continue to be major growth drivers in the technology sector. According to IDC forecasts, the global cloud computing market size is expected to reach $1.3 trillion by 2027, with a compound annual growth rate of approximately 15%; the AI market size is projected to reach $1.2 trillion, with a compound annual growth rate exceeding 20%. However, investors must also pay attention to potential risks, including uncertainties that may arise from AI technology development falling short of expectations, tightening regulations, and geopolitical factors. Especially against the backdrop of intensifying technological competition between China and the United States, related enterprises may face more compliance challenges. Overall, the US stock market earnings season in August 2026 demonstrated the resilience and innovative capacity of the technology industry, with AI and cloud computing being the main highlights. For investors in Hong Kong and Taiwan, while seizing the long-term growth trends of the technology sector, it is also necessary to pay attention to risk control, seeking investment opportunities amidst volatility through diversified allocation and dynamic strategy adjustments. With the Federal Reserve's policy shift and the global economic slowdown, technology stocks, particularly AI-related companies, are expected to become an important choice for capital hedging. Investors in Hong Kong and Taiwan can monitor the upcoming third-quarter earnings season to find investment opportunities that exceed expectations, while closely tracking the Federal Reserve's policy moves and changes in market sentiment to adjust their portfolios in a timely manner.
