
The AI investment cycle is evolving from initial infrastructure-heavy semiconductor plays toward higher-level applications, including agentic AI, cybersecurity, and data infrastructure. While the broader tech sector has experienced consolidation, the shift toward a stock-picker’s market reflects a more nuanced, sustainable growth phase. Rising interest rates and macroeconomic volatility, particularly in oil markets, have compressed valuation multiples, forcing investors to prioritize tangible productivity gains and earnings growth over speculative hype. Pete Callahan, a U.S. technology, media, and telecommunications specialist, emphasizes that while the long-term AI mega-trend remains intact, the linearity of deployment has become more uncertain. Consequently, investors should focus on companies demonstrating clear return on invested capital through AI implementation, with semiconductors and consumer services emerging as critical areas for potential re-engagement as the market navigates upcoming earnings seasons and macroeconomic data.
Sign in to continue reading, translating and more.
Open full episode in Podwise