Executive Summary
Seeking Alpha's Head of Quant Steve Cress has identified a compelling AI infrastructure play that sidesteps the obvious NVDA crowd while targeting the actual bottlenecks of AI deployment. His systematic approach—screening the three largest AI ETFs (AIQ, ROBO, CHAT) through quantitative filters—reveals three companies trading at significant discounts to their sectors despite explosive growth rates. Micron (MU) trades at a 0.214 PEG ratio with 191% forward EPS growth, CommScope (COMM) delivers 303% year-to-date returns while maintaining sector-relative value, and Seagate (STX) posts 102% EPS growth at a 63% PEG discount to peers. The thesis rests on a critical insight: while the market obsesses over AI chips, the real constraints lie in memory, connectivity infrastructure, and data storage—the unglamorous plumbing that makes AI actually work. Cress's track record validates this contrarian approach, with his quant system delivering 227% returns over five years versus Wall Street's 33%. However, our validation reveals a concerning pattern: all three companies show pure insider selling in recent months, suggesting management may view current valuations as stretched despite the compelling fundamentals. This creates a classic quant setup—mathematically attractive stocks facing sentiment headwinds, precisely when disciplined systematic investing tends to outperform.
Key Insights
what Steve Cress said“These stocks are heavily vested or directly vested in AI. So with AI stocks having come off and these stocks having tremendous fundamentals, yet very, very fair valuations, that's why we're focused on these names.”
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