Meta Platforms 計劃在2026年投入1300億至1450億美元的資本支出用於人工智慧基礎設施建設，這一龐大的開支引發了投資者的擔憂。儘管大型科技公司普遍認為在AI領域寧可過度投資也不願錯失機遇，但Meta的股價仍因巨額支出預期而遭到拋售，尤其是與微軟透過Azure雲端業務能將AI投入迅速轉化為收入相比，Meta在變現路徑上顯得較為薄弱。
馬克·祖克柏提出了比元宇宙時代更為清晰的AI商業計劃，涵蓋三大核心領域：個人AI助手、商業代理以及將資料中心租賃給其他公司。Meta去年斥資143億美元收購Scale AI的股份，並將其創辦人王亞歷山大招攬至旗下，領導新成立的「超級智慧實驗室」團隊。該團隊開發的Muse Spark模型已為Meta AI助手提供支持，使聊天機器人的用戶數量增長了60%。
祖克柏認為AI生成的個性化內容將創造「近乎無限的個性化內容宇宙」，雖然這一前景帶有反烏托邦色彩，卻具備可觀的商業潛力。目前每月約有十億人在WhatsApp、Facebook Messenger和Instagram上使用Meta AI聊天機器人，祖克柏希望用戶從單純的對話互動轉向讓AI代為執行任務。整體而言，儘管AI的各項收入來源能否成功仍是未知數，但祖克柏所描繪的商業路線圖比元宇宙時代更具可信度，Meta的支出也更像是經過深思熟慮的投資而非盲目的賭注。
Meta Platforms is planning $130 billion to $145 billion in capital expenditure for 2026 on AI infrastructure, a level of spending that has alarmed investors. While the prevailing wisdom in Big Tech favors overspending rather than missing a transformative opportunity, Meta's shares took a hit alongside Alphabet's as both companies signaled higher-than-expected AI outlays. Unlike Microsoft, which can translate AI spending into immediate revenue through its Azure cloud business, Meta lacks such a straightforward monetization channel.
Mark Zuckerberg has outlined a three-pronged AI strategy—personal AI agents, business agents, and data center rentals—that is more coherent than anything he articulated during the Metaverse era, which burned through over $60 billion with little to show for it. Meta's newly formed Superintelligence Labs, led by Scale AI founder Alexandr Wang after a $14.3 billion acquisition, has developed models including Muse Spark, Muse Image, and Muse Video. The Muse Spark model now powers the Meta AI assistant and has contributed to a 60% increase in chatbot users.
Zuckerberg envisions AI-generated personalized content as a powerful engagement tool, noting that AI-driven recommendation engines have already produced double-digit growth in time spent on Meta's apps. With roughly one billion people using the Meta AI chatbot monthly across WhatsApp, Messenger, and Instagram, the next challenge is shifting users from casual conversation to agentic task completion. While it remains uncertain whether these AI revenue streams will materialize, Zuckerberg's commercial roadmap for AI appears far more credible and calculated than his previous virtual-reality bet.