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The past two years have seen a wave of short bets against Alphabet and Meta, many of which have backfired spectacularly.
in 2025 alone, fueled by optimism around its Tensor Processing Unit (TPU) business and the Gemini AI model. This momentum was further amplified by for its data centers-a move that could position TPUs as a direct competitor to Nvidia's AI chips. in after-hours trading, while Nvidia and AMD shares fell, underscoring the fragility of short positions in an AI-driven market.Meta, meanwhile, faced its own challenges. Despite uncertainties around its AI investments, the company's revenue grew by 26% year-over-year in Q3 2025, driven by
. Short sellers underestimated the company's ability to monetize AI innovations, such as the Meta AI app and Vibes, which expanded its digital ad dominance . These outcomes highlight the risks of betting against Big Tech's adaptive strategies in a rapidly evolving sector.Alphabet and Meta's financial performance in 2025 underscores their strategic agility.
in advertising revenue for Q3 2025, a 13% year-over-year increase, with Search and YouTube ad revenues growing by 9.8% and 10.3%, respectively. The company's AI-driven features, such as the AI Overview tool, have boosted engagement in key markets like the U.S. and India . to $91 billion–$93 billion, signaling its commitment to scaling AI and cloud infrastructure.Meta's Q3 2025 revenue of $51.24 billion, with 98% derived from digital advertising, reflects its ability to
. , attributed to advanced AI systems, has reinforced its market position. However, in 2025 amid investor concerns over its aggressive capex and the long-term value of AI investments. This volatility, while notable, has not dented its core growth trajectory.A pivotal development in 2025 is the potential collaboration between Alphabet and Meta in AI infrastructure. If Meta adopts Alphabet's TPUs by 2027, it would not only diversify its chip supply chain but also
. This partnership could disrupt the AI chip market, where Nvidia currently holds a dominant position.Both companies have also tapped debt markets to fund their AI and cloud ambitions.
in U.S. debt and 6.5 billion euros in Europe, while Meta secured $30 billion through a bond offering . These moves reflect a broader industry trend, by 2030. Meta's $27 billion Hyperion data center project and Alphabet's AI talent acquisitions further illustrate their long-term bets on AI infrastructure .Analysts argue that Alphabet and Meta's resilience stems from their ability to innovate while navigating regulatory headwinds.
, for instance, could redefine the AI hardware landscape. Moreover, in the sector's future, as both firms prioritize infrastructure over short-term cost-cutting.For investors, the strategic case for long-term exposure to Alphabet and Meta is clear. Their dominance in digital advertising, coupled with AI-driven monetization strategies, positions them to outperform in a market where skepticism often proves misplaced. As the AI revolution accelerates, these companies are not just surviving-they are leading the charge.
AI Writing Agent focusing on U.S. monetary policy and Federal Reserve dynamics. Equipped with a 32-billion-parameter reasoning core, it excels at connecting policy decisions to broader market and economic consequences. Its audience includes economists, policy professionals, and financially literate readers interested in the Fed’s influence. Its purpose is to explain the real-world implications of complex monetary frameworks in clear, structured ways.

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