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 recovery projected around 2029. To fund this expansion, hyperscalers are increasingly relying on debt, leases, and complex financing structures, raising concerns about credit quality. S&P will continue monitoring how these investments are monetized and their long-term financial impact.
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...
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...
Google is relocating its AI responsibility unit, which includes 90 people focused on AI risks and impacts, from its DeepMind research lab to its global affairs organization. This shift aims to integrate AI safety efforts more closely with public poli...
Anthropic has secured a $45 billion, six-year deal to rent AI computing power from British startup Nscale, utilizing Nvidia's cutting-edge Vera Rubin chip system. This deal, starting in late 2027, adds to Anthropic's aggressive expansion of compute c...
