3 AI Stocks That Are Way Cheaper Than Apple Right Now

The article argues that Nvidia, Microsoft, and Taiwan Semiconductor Manufacturing are better value opportunities than Apple, citing Apple’s 31x forward earnings multiple versus 22x for Nvidia and 27x for TSMC. It highlights Nvidia’s projected growth of 79% and 85% over the next two quarters, Microsoft’s 17% revenue growth, and TSMC’s expected 25% CAGR from 2024 to 2029. The piece is largely an analyst-style valuation comparison rather than new company-specific news, so near-term market impact should be limited.

Analysis

The market is effectively repricing “quality growth” away from consumer hardware and toward infrastructure and picks-and-shovels AI exposure. The second-order read is that if Apple is capped by slower end-demand and product-cycle dependence, the beneficiaries are not just the obvious AI compute leaders but also the industrial bottlenecks that monetize every incremental dollar of capex regardless of which model wins.

The most important divergence here is duration risk: AAPL’s multiple is vulnerable if growth reaccelerates only episodically, while NVDA and TSM can keep compounding as long as AI capex remains above depreciation. That makes the trade less about next quarter’s revenue and more about how long hyperscalers can justify elevated spending; if AI training spend pauses for even 1-2 quarters, NVDA’s relative outperformance could compress sharply despite still-strong fundamentals.

Microsoft is the cleaner “quality at a discount” expression because its AI monetization is already embedded in enterprise workflows, which lowers the odds of a valuation reset. The less obvious winner is TSM, where structural scarcity in leading-edge nodes should support pricing power even if handset demand stays mediocre; any supply-chain normalization would likely help gross margins more than unit growth. Apple’s risk is not collapse but multiple compression: if mid-single-digit growth is the new normal, a 30x multiple looks fragile versus slower-growth mega-caps with visible AI optionality.

Contrarian take: the consensus may be overpaying for AI narrative beta and underestimating how much of Nvidia’s upside is already tied to a narrow set of spending assumptions. The better risk/reward may be a barbell of MSFT and TSM versus a trimmed AAPL, with NVDA retained only on pullbacks or via call spreads to reduce downside if capex sentiment turns.

Key Decisions for Investors

• Go long MSFT vs short AAPL in a 3-6 month relative-value pair; thesis is valuation convergence toward enterprise-AI leadership, with ~15-20% downside for AAPL multiple compression and only modest fundamental risk to MSFT.
• Buy TSM on any 5-8% drawdown over the next 1-2 months; use a 12-month horizon for a 20%+ total-return setup driven by AI-related utilization and pricing power.
• If initiating NVDA exposure, prefer call spreads over outright stock for the next 2 quarters; upside remains strong, but the position should reflect capex-cycle fragility and elevated headline risk.
• Reduce or hedge AAPL exposure into strength; the best risk/reward is to fade multiple expansion unless the next 2 earnings prints confirm sustained mid-teens growth.
• For a basket expression, overweight MSFT/TSM/NVDA versus AAPL in a tech sleeve reallocation over the next 30 days, with the expectation that capital continues rotating toward infrastructure and monetized AI platforms.