The chance of a real market drop over the next 12 months looks high. The main triggers to watch are the rate environment and earnings disappointments. If the 10-year Treasury yield hits 5%, borrowing costs a lot more and that means trouble. The likely move is a 10 to 15% drop, not a full bear market, because earnings are too strong. Any pullback that size would be a good chance to buy.
Nvidia (NVDA)
For the last four reports, NVDA fell even after posting huge numbers - a "sell the news" pattern. The market now has a "fear of large numbers." No company has ever carried a $5 trillion value before, so investors are nervous. Today's report will beat again, margins will hold, and management will update the health of the whole AI ecosystem and AI spending, which will be strong. This time NVDA will likely rise instead of selling off for a fifth straight report. Options are pricing a 5% move in either direction. The stock is reasonably priced and has the best chance of doubling over the next three to five years among the names I like.
NVDA's moat is durable. Customers building their own chips still use NVDA chips for the parts they are not making themselves. The moat is more than the chip - it includes CUDA, networking, and software, an ecosystem built deep into all the hyperscalers and AI developers. Ongoing AI capex and the next-generation Ruben chip cycle will keep pushing the stock. Expectations are very high, so any slowdown in AI spending could cut the valuation fast across all these stocks, NVDA most of all.
Microsoft (MSFT)
Tech valuations are very stretched, so buy carefully and focus on companies with wide moats. MSFT owns one of the deepest enterprise ecosystems in the world through Azure, Office, Security, GitHub, and Copilot. Customers are already locked into that platform, which gives MSFT huge reach to sell AI. It owns the railroad that AI runs on, and AI is driving the train down the track. MSFT offers the best risk-adjusted quality.
Alphabet (GOOGL)
GOOGL is a strong valuation play, with search, YouTube, Android, cloud, and Gemini giving it one of the best distribution advantages in tech. It is the most attractive on valuation relative to business quality, and offers the most compelling valuation of the three.
The overhang is that generative AI could disrupt GOOGL's search economics. That has not fully shown up yet - there was a small drop last quarter, and that trend should continue as people search more through AI. People are already doing it.
Portfolio split
With $100,000 to invest: 50% in NVDA, 30% in MSFT, and the remaining 20% in GOOGL. In short, NVDA gives the highest upside, MSFT the best risk-adjusted quality, and GOOGL the most compelling valuation.
You want companies with broad moats that will grow revenue no matter what happens with AI spending, and that are still attractively priced. Even at their giant sizes, and despite the fear of large numbers, these three look attractively priced now.
