Speculative leverage in AI-related stocks has decreased since mid-2023, shifting the focus back to fundamental business performance for future returns. However, major AI companies like Alphabet and NVIDIA are moving leverage on and off their balance sheets, creating hidden systemic risks similar to the Dot.com bubble era. Memory chip makers such as Micron, Sandisk, and SK Hynix benefit from AI-driven shortages, though long-term contracts may limit their growth. Additionally, new memory supply capacity from China expected by 2027-2028 could rebalance the market and impact pricing, posing further risks to investors.
Google has enhanced its AI Mode to act as a virtual travel agent, allowing users to plan and book trips through conversational search. Users can now track flight prices, book hotels, and view costs in points or miles. The tool aggregates options from...
In the second quarter, family offices increased their stock allocations from 34% to 37%, driven by bullishness on AI and equities despite market bubble concerns. This shift was largely due to market gains, with the S&P 500 rising about 15%, rather th...
S&P Global Ratings reports that the six largest hyperscalers, including Alphabet and Amazon, will spend over $1.3 trillion on AI infrastructure by 2027. These companies are expected to have negative free operating cash flow in 2026 and 2027, with rec...
Nvidia reported strong Q2 earnings with $96.2 billion in revenue and $2.46 earnings per share, surpassing expectations. The company's balance sheet shows significant growth, with its equity portfolio rising from under 5% to nearly 20% of assets, valu...
Alphabet Inc. has been downgraded from a strong buy to a buy rating following a 64% increase in its stock price. The company continues to show strong growth driven by AI-powered revenue acceleration, margin expansion, and new hardware sales, particul...
