【环球财经】2026年美股展望：泡沫论或加剧波动 保持谨慎乐观

Group 1 - The core viewpoint of the articles indicates that while the U.S. stock market has reached historical highs in 2025, its performance has lagged behind other major markets, suggesting a cautious optimism for 2026 driven by AI and loose monetary policies [1][2]. - The technology sector, particularly the "seven giants," has significantly influenced the S&P 500, accounting for over 30% of its total market capitalization and contributing nearly 50% to market expansion since 2023 [2][3]. - There is a growing debate regarding the potential "AI bubble," with concerns that if AI demand does not meet expectations, high valuations may not be sustainable, leading to a possible market correction [2][3]. Group 2 - Predictions indicate a substantial decline in capital expenditure growth for major tech companies, from 48.8% in 2025 to 18.8% in 2026, and further down to 6.0% in 2027, reflecting a weakening growth momentum [3]. - Major financial institutions like Bank of America and BlackRock are questioning the "AI bubble" narrative, suggesting that the current AI investment wave is driven by genuine corporate investments and productivity growth rather than speculative bubbles [4][5]. - Analysts suggest that the market may continue to experience upward momentum in the first half of 2026 due to ongoing fiscal and monetary easing, but may face more policy uncertainties in the latter half of the year [5][6]. Group 3 - Investment strategies are recommended to focus on the core segments of the AI value chain, including large-scale cloud service providers and chip manufacturers, while also identifying undervalued companies that could benefit from the AI trend [6][7]. - The discussion around the AI narrative emphasizes the importance of understanding the boundaries and duration of potential bubbles, with a focus on improving risk-reward ratios in high-valuation tech stocks [6][7]. - The overall market sentiment suggests that while the AI-driven tech rally may persist, volatility is expected to increase, making it crucial for investors to manage trading rhythms effectively [7].