[US-빅테크] 06/02 Wall St. Recap

Apple’s recent performance, highlighted by a record-breaking March quarter in 2026, underscores the company’s resilience and successful transition into a new leadership era. Despite concerns regarding the stock’s significant 59% rally over the past year, the company’s ability to exceed earnings expectations and strengthen its market position in China suggests that the growth narrative remains intact. The shift in executive leadership appears to be providing a fresh catalyst for operational efficiency, effectively mitigating valuation concerns. Investors should view the current momentum as a reflection of robust service revenue growth and sustained demand for the hardware ecosystem, justifying a constructive outlook despite the recent price appreciation.

Microsoft’s strategic shift toward proprietary AI infrastructure is gaining significant momentum. The report regarding Anthropic’s potential move to lease Microsoft’s custom AI chips (Maia) signals a critical evolution in the company’s business model. By transitioning from a pure-play software provider to a vertically integrated AI infrastructure powerhouse, Microsoft is effectively reducing its dependency on Nvidia while optimizing margins for its Azure cloud ecosystem.

Furthermore, the recent market performance reflects strong investor confidence in Microsoft’s ability to monetize its generative AI stack. The company’s push for proprietary models and hardware creates a “moat” that differentiates it from competitors, positioning it to capture a larger share of the enterprise AI spending cycle. This dual-pronged approach—scaling proprietary silicon and expanding AI-integrated software—remains the primary catalyst for long-term valuation expansion.

Alphabet (GOOGL) currently faces a complex tug-of-war between aggressive growth initiatives and mounting regulatory headwinds. The company’s commitment to massive AI infrastructure investment—evidenced by its record-breaking capital allocation—underscores its determination to maintain a competitive edge in the generative AI landscape. While this long-term strategy is essential for sustaining market leadership, it is being overshadowed by the imminent threat of DMA (Digital Markets Act) violations in the EU.

The potential for “record-level” fines creates a short-term overhang on the stock, forcing investors to weigh the company’s robust cash-generating capabilities against the increasing cost of regulatory compliance. From a valuation perspective, the market is currently pricing in both the high-growth potential of its AI ecosystem and the persistent risk of antitrust litigation. Investors should monitor whether the efficiency gains from AI integration can offset the margin compression likely to result from these regulatory penalties.

Meta’s recent strategic moves indicate a dual-pronged approach to long-term value creation: hardware ecosystem expansion and AI monetization. The official launch of Ray-Ban Meta in the Korean market signals a successful scaling of their wearable AI strategy, moving beyond experimental phases into tangible consumer adoption.

Simultaneously, the introduction of the Meta One subscription model marks a critical pivot toward diversifying revenue streams beyond traditional digital advertising. By integrating generative AI directly into the user experience, Meta is effectively increasing its ARPU (Average Revenue Per User) potential. While market skepticism regarding the immediate impact of these AI features persists, the company’s ability to leverage its massive social graph to distribute AI tools provides a significant competitive moat. Investors should view recent price volatility as a potential entry point, provided the company demonstrates sustained growth in its AI-driven monetization metrics.

Amazon’s recent financial performance, highlighted by AWS reaching $37.6 billion in Q1 2026 revenue, underscores the company’s dominant position in the cloud infrastructure market. This robust growth trajectory provides a strong foundation for sustained AI-driven capital expenditure. Furthermore, the strategic move to diversify funding through multi-currency bond issuance (including Swiss Francs) demonstrates proactive liquidity management, allowing Amazon to optimize its cost of capital while aggressively scaling its logistics network and AI capabilities. These developments signal long-term operational efficiency and a clear competitive moat.