Capital expenditure by hyperscalers on AI infrastructure is expected to reach nearly $700 billion by 2026, a 60% increase from the previous year, mainly invested in chips, networking, and memory. Despite widespread AI adoption, current AI spending as a share of GDP remains low compared to past tech cycles, indicating significant room for growth. Long-term projections suggest trillions in AI infrastructure investment by 2030, implying the AI build-out cycle is still in its early to middle stages. Investors should watch capex guidance from major cloud spenders closely, as valuations are high and market volatility is expected. The article also highlights top investment picks in the AI infrastructure sector.
Broadcom reported a 47.9% year-over-year revenue increase in Q2 FY2026, driven by a 143% surge in AI semiconductor sales, reaching $10.8 billion. The company achieved record operating margins near 49% and free cash flow of $10.26 billion, enabling a ...
Anthropic's AI-native engineering teams have increased code production eightfold since 2021, shifting the main bottleneck from coding to verification. With AI-generated code becoming abundant, the challenge lies in ensuring code correctness, security...
The Invesco QQQ Trust provides investors a single ticker to access the top 100 largest non-financial Nasdaq companies, heavily weighted in AI and tech leaders like NVIDIA, Microsoft, and Apple. It has delivered strong returns, up over 20% year-to-dat...
As Big Tech stocks show signs of fatigue, Wall Street technician Katie Stockton highlights financials, industrials, and biotech sectors as potential new leaders based on technical breakouts. She recommends ETFs XLF (financials), XLI (industrials), an...
Tech growth companies typically reinvest earnings to stay competitive, leaving little for dividends. Intel's example shows how underinvestment led to dividend cuts and suspension after losing market leadership. While most tech growth stocks offer low...
