AI-Driven Bull Market Challenges Bubble Concerns, Says Morgan Stanley Analyst
As concerns mount over potential stock market bubbles due to high valuations, Morgan Stanley’s Katy Huberty offers a contrasting perspective, suggesting that the AI-driven bull market is just beginning.
The S&P 500’s Shiller CAPE ratio has reached levels reminiscent of the dot-com era, prompting warnings from prominent investors like Jeremy Grantham and Rob Arnott. However, Huberty argues that the current stage of AI investment and adoption is still in its early phases, drawing parallels to historical technology cycles that have shown significant growth in user adoption and business investment.
Huberty estimates that a $10 trillion investment is needed for AI infrastructure development, with current spending by major tech firms representing only a fraction of this projected figure. The market is reportedly at a single-digit penetration level in terms of AI infrastructure investment, indicating substantial room for growth.
Recent earnings revisions for top tech companies suggest significant upside potential, while current price multiples remain lower than those observed at the peak of the dot-com bubble. The median forward PE ratio for top stocks is notably lower now compared to 1999, further supporting Huberty’s optimistic outlook.
In terms of investment opportunities, Huberty recommends focusing on AI beneficiaries and non-AI companies poised to gain from AI adoption. Financial stocks are identified as particularly well-positioned, with exchange-traded funds (ETFs) like XLF, VFH, and IYG offering exposure to the sector.
Emphasizing the early stage of the AI cycle and its potential for future growth, Huberty highlights the importance of AI’s impact on efficiency and market dynamics. Investors are encouraged to consider the long-term potential of AI-driven market changes when making investment decisions.
As the debate between bubble concerns and AI-driven growth continues, market participants will closely monitor developments in AI adoption and its impact on various sectors of the economy.