David Tepper's Appaloosa LP disclosed its Q2 2026 portfolio centered on five mega-cap AI-related stocks: Amazon, Micron, Taiwan Semiconductor, Meta, and Alphabet. Tepper maintained Amazon as the largest holding and trimmed Micron shares by 41%, taking profits while keeping exposure. He increased stakes in Meta, Alphabet, and NVIDIA, rotating out of Microsoft to focus on AI infrastructure leaders. This portfolio reflects a clear AI infrastructure monetization thesis, supported by strong earnings and backlogs from these companies. Price movements since June 30 show mixed results, validating Tepper's profit-taking on Micron and ongoing bets on Alphabet and Meta. Retail investors might consider this disciplined approach to AI-capex exposure rather than blindly copying positions.
Swedish electric trucking company Einride announced plans to purchase 500 Tesla Semis, which will be integrated into its fleet over the next 24 months starting in September. This move will triple Einride's current fleet size and enhance its Saga AI f...
Amazon's custom silicon business, now generating over $25 billion annually and growing at triple-digit rates, is a major but underappreciated part of its AWS cloud operations. Key products like Trainium2 and Graviton power AI workloads for clients in...
Amazon is purchasing rare books, cutting off their spines, and scanning them at a Las Vegas facility to train its AI models. This method provides unique training data from texts that are out of print or not available online, which helps improve AI qu...
Synchrony Financial is collaborating with OpenAI to allow shoppers to buy products directly inside ChatGPT using store-branded credit cards from brands like Amazon, Walmart, and Lowe's. This initiative aims to integrate payments fully within ChatGPT,...
In Q2, corporate earnings grew 50.4%, the fastest pace since mid-2021, driven largely by Alphabet and Amazon, which contributed 18.4 percentage points to this growth. Alphabet posted a massive 216% earnings per share beat, though adjusting for unreal...
