Sanjeev Sharma forecasts the S&P 500 will finish 2026 slightly below its starting point due to weak consumer fundamentals like stagnant wage growth, high inflation, elevated gas prices, and rising interest rates. His disposable income-based model highlights these headwinds despite current market gains and AI sector enthusiasm. Sharma favors semiconductor stocks such as Nvidia and Micron for their strong free cash flow but remains cautious overall, holding significant cash and expecting a modest market decline of 3-5% by year-end. He warns that AI companies may struggle with pricing power amid intense competition and high operational costs, potentially limiting their profitability.
Google has released TorchTPU, its version of PyTorch that enables AI apps to run on Google's Tensor Processing Units (TPUs). This open-source project allows developers to easily migrate existing PyTorch apps to Google's AI chips and cloud with minima...
AI-related earnings growth in the S&P 500 is highly concentrated in companies like Nvidia, Micron, and Broadcom, which are expected to show near triple-digit growth. However, valuation discipline is crucial as premium multiples in companies like Tesl...
While semiconductor stocks dropped over 13% last week, Apple’s stock rose above $340, hitting near record highs due to its broad AI adoption across 2.5 billion devices and strong revenue growth of 16.4% year-over-year. Unlike chipmakers who rely heav...
Hedge funds sold technology stocks at the fastest rate in over ten years during the week ending October 15, 2026, with semiconductor stocks taking the biggest hit. This selling was primarily long liquidation, meaning funds sold shares they already ow...
OpenAI is aiming to raise $30 billion before its rival Anthropic goes public in mid-November, seeking to set a higher valuation benchmark for private AI investments. The funding round could value OpenAI at over $1.4 trillion, surpassing its previous ...
