Leading AI companies are currently investing billions in infrastructure and capacity, often spending three times their revenue, before turning a profit. Financial researcher Jim Rickards highlights that while this build-first approach may support future growth, it relies heavily on optimistic projections amid a high failure rate of AI projects to deliver returns. The sector's heavy spending, including nearly $5 trillion on U.S. AI data centers, is increasingly financed through complex debt structures affecting broader markets and retirement funds. Upcoming earnings reports, like Meta's on July 29, will be crucial for investors to gauge if spending aligns with business results, echoing cautionary lessons from the dot-com bubble era.
The REX FANG & Innovation Equity Premium Income ETF (FEPI) generates high monthly income by selling covered calls on major tech stocks like NVIDIA and Apple, resulting in a 25% distribution yield. While this strategy provides steady income, it limits...
President Donald Trump warned he will impose a 100% tariff on goods from any country that enacts a digital services tax targeting U.S. tech companies. He stated this tariff would override any existing or future trade agreements with those countries. ...
Wedbush views the recent sharp sell-off in major tech stocks like Microsoft, Meta, and Nvidia as short-term impatience rather than a breakdown in the AI sector. The broker highlights that these companies are in the early stages of a long-term AI infr...
The ETF market is seeing a new trend with multiple firms launching 'MANGOS' ETFs that include AI and commercial space technology companies such as Meta, Anthropic, Nvidia, Google, OpenAI, and SpaceX. This marks a shift from the traditional 'Magnifice...
Meta Platforms has seen a significant stock decline in 2026, dropping 17.62% year-to-date and nearing its 52-week low. Despite this, the company reported strong Q1 revenue growth of 33.08% and earnings per share above expectations, driven by accelera...
