Key Takeaways
- The recent sell‑off in AI‑related stocks creates a “golden buying opportunity” for long‑term winners such as Nvidia, Sandisk and Meta Platforms.
- Nvidia’s GPU dominance in data‑center build‑outs positions it to benefit from a projected jump in hyperscaler spending from $650 billion in 2026 to over $1 trillion in 2027.
- Sandisk, despite a recent 20% pull‑back from its all‑time high, remains cheap at roughly 9× forward earnings and is poised for 1433‑year‑forward revenue growth of ~143% as memory‑chip shortages drive pricing power.
- Meta Platforms is trading at a forward P/E of 19.6×—below the S&P 500’s 21.7×—while delivering 33% quarterly growth, and may unlock a new revenue stream by monetizing excess AI compute through a cloud‑computing division.
- All three stocks are currently undervalued relative to their growth prospects, but investors should watch for macro‑economic headwinds, execution risks, and the timing of capital‑spending cycles.
Market Overview: A Buying Window in AI Stocks
The latest sell‑off surrounding AI stocks has opened a window that many analysts view as a “perfect time to load up on shares, as these deals may not last forever.” With valuations pulled back from recent peaks, firms that have proven leadership in the AI ecosystem are now trading at discounts that may not reflect their long‑term earnings potential. Among the names that stand out are Nvidia, Sandisk and Meta Platforms—each of which combines a strong competitive moat with visible catalysts for future growth.
Nvidia: The GPU Engine Driving Data‑Center Expansion
Nvidia has been a “long‑term market winner, starting in 2023 when its GPUs became the go-to computing unit for the data center build‑out.” The company’s architecture continues to dominate the training and inference workloads that power large language models, recommendation engines and other AI services. Although 2026 has so far been a disappointing year for the stock—reflecting short‑term skepticism about the durability of the AI spend—history suggests a reversal is likely. Nvidia’s management has noted that “the first half is often marked by skepticism about the health and longevity of the AI data center build‑out,” while “the second half… projects start to emerge regarding plans for data center build‑outs, causing the stock to rise.”
Looking ahead, the firm expects hyperscaler capital expenditures to surge: “In 2026, the AI hyperscalers are estimated to spend around $650 billion on data centers. However, next year, Nvidia believes this figure will be north of $1 trillion.” If that forecast materializes, the incremental demand for Nvidia’s GPUs could push earnings well beyond current consensus estimates, providing a catalyst for a second‑half rally that is not yet priced into the share price.
Sandisk: Memory‑Chip Scarcity Fuels Pricing Power
Recommending Sandisk now may seem counterintuitive given its meteoric rise, but the underlying fundamentals remain compelling. Sandisk’s stock has been “the best performer in the S&P 500 (^GSPC 0.79%) this year, rising around 660% so far.” A recent pull‑back of roughly 20% from its all‑time high reflects profit‑taking rather than a deterioration in business prospects. The driver behind Sandisk’s surge is its position in the memory‑chip market, where “there isn’t enough memory supply to meet the demands of data centers, so prices on chips are skyrocketing as a result.” This supply‑demand imbalance allows Sandisk to capture higher margins on each unit sold.
Wall Street models forecast “fiscal year (FY) 2027 (ending June 2027)… 143% revenue growth,” implying that the current valuation—approximately 9× forward earnings—does not fully reflect the earnings upside. At that multiple, the stock appears inexpensive relative to its growth trajectory, and many analysts believe a doubling from current levels is plausible if the memory‑tight environment persists.
Meta Platforms: AI Spend Meets Potential Cloud Monetization
Meta Platforms has faced a “major sentiment shift in its stock in recent days.” While the company continues to pour capital into AI infrastructure as one of the leading AI hyperscalers, it has yet to showcase a tangible breakthrough such as a personal superintelligence model, leaving some investors uneasy. However, emerging reports suggest a strategic pivot: “Several reports speculate that Meta is forming a cloud computing division to sell excess computing power, replicating already successful cloud computing businesses.” If Meta can successfully package its idle AI‑optimized servers for external customers, it could unlock a recurring, high‑margin revenue stream that diversifies its reliance on advertising.
From a valuation standpoint, Meta looks attractive. Its forward P/E sits at “19.6 times forward earnings,” which is “cheaper than the S&P 500 at 21.7 times forward earnings,” despite the firm delivering “a solid 33% pace last quarter.” This discount relative to the broader market, combined with the potential cloud‑computing upside, makes Meta a compelling candidate for a rebound should the company articulate its new business line in upcoming earnings calls.
Synthesis: Why These Three Stocks Merit Attention
Taken together, Nvidia, Sandisk and Meta Platforms illustrate different facets of the AI investment thesis. Nvidia offers pure-play exposure to the hardware that powers AI workloads, Sandisk leverages a critical supply‑chain bottleneck in memory, and Meta combines massive AI spend with a possible new service‑layer business. Each stock trades at a valuation that appears low relative to its expected earnings growth, and each benefits from a macro‑trend—expanding data‑center capital expenditure—that is still in its early phases.
Investors should, however, remain mindful of risks: a slowdown in hyperscaler capex, shifts in memory‑chip supply dynamics, or regulatory scrutiny of large tech platforms could affect outcomes. Nonetheless, the current market dislocation provides a rare entry point for those who believe the AI infrastructure build‑out will continue to drive outsized returns for the companies that enable it.
Quoted material has been taken directly from the source text to preserve the analyst’s original voice and intent.
https://www.fool.com/investing/2026/07/14/3-artificial-intelligence-ai-stocks-id-buy-to-take/