Key Takeaways
- Nvidia’s GPUs remain the cornerstone of AI‑focused data‑center builds, with forward‑looking capex estimates of $1 trillion from the big‑four hyperscalers in 2027.
- Micron’s NAND and DRAM memory are in chronic short supply; management expects the “tightness” to persist beyond 2027, driving sustained revenue and profit expansion.
- Alphabet (Google) is aggressively expanding its cloud infrastructure—Google Cloud revenue jumped 63% year‑over‑year—to capture a growing share of AI workloads.
- Despite strong growth prospects, all three stocks trade at modest forward earnings multiples (NVDA ≈ 23.7×, MU ≈ 12.3×, GOOG/GOOGL ≈ ~20×), suggesting they are not overpriced relative to earnings potential.
- The AI infrastructure build‑out is still early; continued data‑center construction will benefit chipmakers, memory suppliers, and cloud operators alike for the foreseeable future.
Overview of the AI Infrastructure Boom
The artificial intelligence (AI) race is far from over, and vast amounts of cloud‑computing capacity still need to be erected to support an AI‑first economy. As the article notes, “AI isn’t even close to being used everywhere yet, and the amount of computing capacity that will be necessary to handle an AI‑first economy is hard to imagine.” This gap creates a multi‑year tailwind for companies that supply the essential building blocks—GPUs, memory chips, and cloud services—making them attractive long‑term investments.
Nvidia: Dominant GPU Supplier
Nvidia has been the “big name in AI investing since the infrastructure‑building boom kicked off in 2023.” Its graphics processing units (GPUs) sit at the core of virtually every new data center, praised for their “flexibility and reliability.” The firm’s financials reflect this strength: it reported an 85% revenue increase last quarter, with Wall Street analysts forecasting nearly 100% growth next quarter, excluding any sales to China. Management has also signaled that the “big four AI hyperscalers” plan to spend $1 trillion on data‑center capital expenditures in 2027, up from $650 billion this year—a clear indicator that the construction trend remains robust. Despite these stellar results, Nvidia’s forward price‑to‑earnings (P/E) ratio sits at only 23.7×, just above the S&P 500’s 21.7×, which the article characterizes as “a minor premium to pay for one of the best stocks in the market.”
Micron: Memory Chip Beneficiary
Micron Technology supplies the NAND and DRAM memory that servers require to store and move data for AI workloads. The article highlights that “the company and its peers don’t have sufficient production capacity to satisfy soaring demand, and constructing new foundries will take time.” Consequently, memory prices have surged, directly boosting Micron’s top and bottom lines. Micron’s management told investors that it expects the “tightness” in the memory chip market to last beyond 2027, promising continued profit and revenue expansion. Trading at a modest 12.3× forward earnings, Micron appears cheap relative to its growth outlook, making it a compelling AI‑related play.
Alphabet: Cloud Spend and Growth
While Nvidia and Micron profit from selling hardware, Alphabet (Google) is on the spending side of the equation. The firm is constructing a “cloud computing empire” where clients run both traditional and AI workloads on its servers. Last quarter, Google Cloud revenue soared 63% year‑over‑year, and with additional capacity coming online each quarter, the article anticipates “rapid increases to continue for some time.” Alphabet has also told investors to expect “significantly” higher capex in 2027, reinforcing its commitment to expanding infrastructure. If Alphabet can sustain this growth trajectory while preserving profit margins, its heavy investment in AI computing power will be justified, delivering strong long‑term returns for shareholders.
Valuation Considerations
All three companies combine strong growth prospects with relatively low valuation multiples. Nvidia’s forward P/E of 23.7× is only slightly above the market average, Micron’s 12.3× is notably discounted, and Alphabet’s multiples are in line with its peers despite its aggressive capex plans. The article suggests that these valuations reflect a “minor premium” for Nvidia and a “top AI stock to buy now” for Micron, implying that investors are not paying an exorbitant price for the anticipated earnings upside.
Investment Recommendation and Risks
The author explicitly recommends loading up on Nvidia, Micron, and Alphabet, arguing that they are “bound to benefit from major AI spending increases.” However, potential risks include:
- Geopolitical exposure (e.g., restrictions on chip sales to China).
- Cyclicality in memory markets, where oversupply could eventually reverse price gains.
- Execution risk for Alphabet’s cloud expansion, particularly if competitors capture market share faster than anticipated.
Nevertheless, the structural demand for AI infrastructure appears durable enough to outweigh these concerns over a multi‑year horizon.
Conclusion
The AI-driven data‑center build‑out is still in its early stages, creating a sustained demand wave for GPUs, memory chips, and cloud services. Nvidia’s GPU dominance, Micron’s memory scarcity, and Alphabet’s aggressive cloud investment position each company to capture a meaningful share of this growth. With attractive valuations and clear long‑term tailwinds, the trio represents a compelling set of opportunities for investors seeking exposure to the continued expansion of artificial intelligence. As the article succinctly puts it, “the data center construction trend is alive and well, which will benefit the other two companies on this list as well.” This insight underscores why now may be an opportune moment to consider these stocks as core holdings in an AI‑focused portfolio.
https://www.theglobeandmail.com/investing/markets/markets-news/motley/3355414/here-are-my-top-3-artificial-intelligence-stocks-to-buy-right-now/