Everyone Hates AI Right Now. Four Stocks That Are Bulletproof
Summary
Brian states that the current panic surrounding AI slowdowns is unfounded, as the massive buildout of AI infrastructure is a fundamental and unstoppable trend, comparable in scale to historical American economic booms. He emphasizes that physical constraints, such as the limited capacity of existing data centers for new, power-intensive chips, and long wait times for new grid connections (up to 4 years), ensure that demand for older chips and basic infrastructure components remains high. Brian believes that money will continue to flow into four key areas: processors, memory, optics (for data transfer), and inference (companies renting out finished AI compute power). He is not trying to guess which AI company will win, but rather aims to own the essential "parts that none of them can win without." Brian uses a personal investment system that analyzes fair value, price trends, and historical data to generate "buy a lot," "buy," "buy a little," "hold," or "sell" signals, often adjusting signals based on historical valuation issues or limited public data.
Brian applies his investment system to several companies:
Mentioned Stocks
Reasoning: Brian explains that Micron is one of only three companies globally manufacturing a crucial type of memory, leading to a significant shortage. Its operating profit surged from 11 cents to 80 cents per dollar sold. Brian's system, while seeing a 'buy a lot' signal based on current price trend, notes that the stock is historically expensive, having been at this valuation only 2% of the time in its 10-year history. This historical check leads Brian's system to adjust the signal down to 'buy a little,' and Brian states he will buy a little, awaiting the September earnings report for further decisions.
Reasoning: Brian positions Nvidia as the anchor of the AI industry, with quarterly sales soaring from $30 billion to $96 billion in two years and maintaining high operating profits. Despite a potential risk of co-signing up to $18 billion in customer data center leases, Brian's system generates a very strong 'buy a lot' signal. He highlights its attractive valuation at 28 times last year's profit, significantly below its 5-year average of 52 times, and notes it has the cheapest growth on his list with a PEG ratio of 0.35. Brian concludes that Nvidia's valuation doesn't reflect the immense demand and growth, and its history check comes back with no problems. Brian recommends dollar-cost averaging for this company.
Reasoning: Brian discusses Marvell, which designs custom AI chips for major cloud companies like Google. He notes that Google has committed to buying approximately $120 billion worth of chips through 2033, securing a 6.7% stake in Marvell. However, Brian's system indicates that the stock's price has already incorporated this significant future growth. It is trading at 80 times last year's profit, which is substantially above its historical average of 33 times. For these reasons, Brian's system generates one of the 'strongest sell signals' in the video, concluding that the price has significantly outpaced the underlying business value.
Reasoning: Brian analyzes Lumentum, which produces lasers essential for communication within data centers, noting its shift from losing money to retaining 27 cents of operating profit per dollar sold. Despite strong underlying business that saw the stock rise 13% after an earnings 'miss,' Brian's system signals a potential sell. He points out that the stock is currently trading at approximately 195 times last year's profit, significantly higher than its historical average of around 70 times. Even with a PEG ratio under one, Brian believes the price has outrun what the business fundamentally deserves, leading to a 'possibly sell some' signal.