Goldman Sachs projects that capital expenditures (capex) by major hyperscalers like Alphabet, Amazon, Meta, Microsoft, and Oracle could reach $1.1 trillion by fiscal year 2027, driven largely by AI data center buildouts. Oracle alone forecasts up to $95 billion in capex for FY2027. This AI infrastructure expansion is notable for its high ongoing costs due to the short 2-3 year lifespan of GPUs used in mission-critical AI tasks, unlike previous tech cycles. The sector faces risks of overcapacity and expensive idle assets if demand falls short, alongside potential AI price wars and aggressive capital raises reminiscent of past tech bubbles. Investors should watch how this evolving AI infrastructure investment impacts the tech landscape going forward.
The traditional 'Magnificent 7' tech stocks that dominated market returns are losing their exclusive spotlight as AI innovation broadens the field. New groups like the 'FAB 10' now include private AI leaders such as OpenAI, Anthropic, and SpaceX, alo...
Greg Abel, who took over as CEO of Berkshire Hathaway from Warren Buffett six months ago, has received high praise from Buffett for his performance, including rapid execution of major acquisitions and managing Buffett's personal wealth. Abel has main...
An investor heavily involved in AI-related stocks is reconsidering the AI investment hype following Alphabet Inc.'s recent equity raise. This move prompts questions about the sustainability of AI-driven growth, as companies now scrutinize the actual ...
The combined market capitalization of AI service providers reached $7.3 trillion, vastly surpassing the total addressable market (TAM) for AI services, which was $43.7 billion in 2025. This results in an extremely high revenue multiple of 162X, indic...
For two decades, stock buybacks reduced share supply, boosting earnings per share and valuations. JPMorgan forecasts a surge in net equity issuance to $1.2 trillion by 2027, driven by IPOs and secondary offerings from AI and tech giants like SpaceX, ...
