四千亿美元营收打底，谷歌资本支出翻倍猛攻AI

Core Insights - 2025 is a landmark year for Google, with Alphabet reporting annual revenue of $402.84 billion, marking its first time surpassing the $400 billion threshold [2][3] - Despite strong performance, significant investments are impacting financial results, with capital expenditures expected to nearly double in 2026 [2][6] Financial Performance - Alphabet's total revenue for 2025 reached $402.84 billion, a 15% year-over-year increase, while net profit rose to $132.17 billion, up 32% [3] - In Q4 2025, revenue was $113.83 billion, reflecting an 18% increase, and net profit was $34.46 billion, a 29.8% rise, exceeding market expectations [3] Cloud Business Growth - Google Cloud revenue surged to $17.664 billion in Q4, a 48% increase, significantly outpacing industry averages and competitors like Microsoft Azure [4] - By the end of 2025, Google Cloud's annualized revenue is projected to exceed $70 billion, with unfulfilled orders amounting to $240 billion, more than doubling year-over-year [4] AI Product Commercialization - Key metrics for Google's AI product commercialization include over 8 million paid seats sold for Gemini Enterprise within four months and over 1 billion tokens processed per minute via API [5] - Google has become Apple's preferred cloud service provider, potentially generating billions in additional cloud service revenue [5] Capital Expenditure Trends - Capital expenditures accelerated to $27.9 billion in Q4 2025, nearly doubling from $14.3 billion in the same period last year, accounting for nearly one-third of the annual capital expenditure of $92 billion [6] - For 2026, capital expenditures are expected to reach between $175 billion and $185 billion, focusing on expanding data center capacity and acquiring NVIDIA chips [6] Market Reactions and Investor Sentiment - Following the earnings report, Alphabet's stock initially dropped over 7.5% in after-hours trading, reflecting investor concerns about high capital expenditures impacting short-term profitability [7] - Analysts express that while high capital spending is necessary, it may compress short-term profit margins amid fierce competition from Microsoft Azure and Amazon AWS [7] Strategic Shifts - Google is reallocating resources to AI-related growth areas, reducing investments in non-core businesses, and accelerating the iteration cycle of its TPU chips [8] - The company is building a "model-as-platform" ecosystem, processing over 10 billion tokens per minute through its self-developed models, which helps distribute depreciation costs and lock in global AI innovation [9]