These 3 Stocks Are Incredible Long-Term Bargains

The article argues Microsoft, Micron, and Nvidia are trading at attractive valuations relative to their AI-driven growth prospects, citing Microsoft’s $625 billion Azure backlog, Micron’s 8.4x forward P/E, and Nvidia’s 24.3x forward earnings. It highlights Micron’s HBM TAM rising from $35 billion in 2025 to $100 billion by 2028 and Nvidia’s $1 trillion in cumulative Rubin and Blackwell orders through 2027. The piece is opinion-driven rather than news-driven, so the likely market impact is limited, but the valuation commentary is broadly supportive for the three names.

Analysis

The common thread is not “cheap tech,” it’s that the market is still pricing these businesses off yesterday’s cycle while the spending curve is being extended by AI infrastructure. That matters most for the suppliers with the most operating leverage to incremental capex: NVDA is the cleanest way to express continued accelerator demand, but MU may have the larger second-order earnings inflection if HBM supply remains tight longer than consensus expects. MSFT is the least obvious beneficiary because the market tends to underwrite it as a mature software compounder, yet its role as the neutral control point in AI compute could turn Azure into the toll booth for model training and inference traffic.

The main miss in the market is time horizon compression. Investors appear to be discounting one strong year of demand, when the capex cycle for AI clusters, networking, memory, and power is likely multi-year and lumpy; that usually leads to repeated upward revisions rather than a single clean step-up. The risk is that the trade becomes crowded precisely because all three names look “reasonable” on near-term multiples, which can cap reratings even while fundamentals improve.

Competitive dynamics matter: NVDA’s strength indirectly pressures every customer to keep spending to avoid falling behind, which can extend the replacement cycle for GPUs and make previous capex look insufficient. For MU, the key second-order effect is that tight HBM supply can widen the moat for incumbents with scale and process control, while smaller memory players may never fully participate in the upside if capacity additions lag. For MSFT, the optionality is not just Azure growth; it is pricing power in enterprise AI bundles, where higher attach rates can offset any margin pressure from the upfront infrastructure build.

The contrarian view is that none of these are “deep value” in an absolute sense; the opportunity is relative to the duration of the earnings runway. If AI spend pauses for even two quarters, the stocks that look cheapest on forward earnings can underperform hard because the narrative is doing a lot of the valuation work. That makes the trade better expressed in 6-18 month horizons, not as a fast momentum chase.

Key Decisions for Investors

• Long NVDA on any 3-5% pullback; target a 6-12 month hold with upside driven by estimate revisions rather than multiple expansion. Risk/reward remains attractive as long as AI capex remains above consensus, but trim if the stock starts discounting 2027+ growth too aggressively.
• Accumulate MU in tranches over the next 1-3 months; this is the higher-beta way to play sustained HBM tightness. Use a wider stop because the name will trade violently on memory pricing, but upside can outperform if supply remains constrained into the next capacity cycle.
• Use MSFT as the lower-volatility AI compounder: buy for a 6-9 month horizon on weakness versus megacap peers. The cleaner trade is relative long MSFT / short a slower-growing software index basket if AI monetization remains uneven across software.
• Pair trade long NVDA or MU versus short a basket of non-AI semis with weaker balance sheets over 3-6 months. The thesis is that the AI cycle is pulling forward capital allocation toward names with pricing power and away from generic exposure.
• If entering now, prefer staged entry over full-size longs; these are consensus-positive names and near-term upside may be capped by positioning. Add only on post-earnings or macro-driven drawdowns where fundamentals are unchanged.