Zuckerberg, Musk Vie for AI Supremacy With $155 Billion Splurge

Group 1: Meta Platforms Inc. - Meta Platforms Inc. will double its capital spending to as much as $135 billion this year, focusing on artificial intelligence as a strategic investment [1] - CEO Mark Zuckerberg indicated a forthcoming "major AI acceleration" and plans to release new models and products after an overhaul of the company's AI program in 2025 [3] - Following the earnings report that exceeded expectations, Meta's stock rose by 7.9%, reflecting investor confidence in its advertising business and planned expenditures [3] Group 2: Tesla Inc. - Tesla Inc. plans to spend $20 billion this year on initiatives including AI, self-driving vehicles, and robotics, which is nearly double Wall Street's estimates [2] - An additional $2 billion will be invested in CEO Elon Musk's xAI startup, highlighting Tesla's commitment to AI development [2] - Musk emphasized the need for Tesla to establish its own semiconductor factory to support its technological ambitions [2] Group 3: Microsoft Corp. - Microsoft Corp.'s quarterly results revealed fragility in investor sentiment regarding AI funding, as its stock dropped 6.5% in premarket trading after reporting capital expenditures above Wall Street estimates [4] - The company barely met expectations for its Azure cloud business, indicating potential challenges in its AI-related growth [4] Group 4: Semiconductor Industry - The spending spree in Silicon Valley has positively impacted hardware providers like Samsung Electronics and SK Hynix, which reported significant profit growth [5] - ASML Holding NV, the sole provider of advanced lithography machines, also exceeded profit estimates, reflecting strong demand for semiconductor manufacturing [5] - The increasing demand for AI-related technologies is exacerbating a global chip supply-demand imbalance, which could disrupt various industries, including smartphones and automotive [6] Group 5: AI Hardware Demand - There is a growing concern among investors regarding a potential deficit in basic memory chips, which are essential for developing and operating AI technologies [7] - The demand for Nvidia and Advanced Micro Devices Inc. accelerators has long outstripped supply, indicating a critical need for investment in semiconductor production [7]