Here's My Top AI Stock to Buy in October

Nvidia management indicated it expects roughly 70% revenue growth in fiscal 2028, ending January 2028, supported by the rollout of higher-priced Rubin-generation AI chips. The article argues Nvidia's 24.6x forward P/E and 14.6x next-year earnings multiple undervalue that growth profile versus its historical forward multiple of 40x or more. It projects the shares could more than double if Nvidia meets estimates and rerates to 30x trailing earnings, while emphasizing the company's history of exceeding internal expectations.

Analysis

The valuation argument is directionally attractive but mechanically incomplete: a low next-year P/E only supports multiple expansion if the earnings base is durable beyond the initial systems ramp. NVDA's key sensitivity is not GPU unit demand alone, but whether hyperscalers sustain accelerated capex while accepting rising rack-level ASPs and power/networking costs. The market will reward evidence of supply-constrained demand through the next architecture transition; it will punish even a modest deceleration in backlog conversion or gross-margin dilution from new-system mix.

The underappreciated second-order beneficiary is the AI infrastructure stack rather than NVDA alone. TSMC (TSM) captures advanced-packaging and leading-edge wafer bottlenecks, while Broadcom (AVGO) gains from scale-out networking and custom accelerators; both hedge the risk that large customers shift incremental workloads to internally designed silicon. Conversely, AMD's (AMD) upside requires a credible software and supply breakthrough, but it remains the most direct beneficiary if customers seek a second source after a major Nvidia platform cycle.

Near term, bullish retail commentary is unlikely to be a catalyst given modest stated news impact. The 1-3 month catalyst path is hyperscaler capex guidance, lead-time commentary, and evidence that enterprise inference is broadening beyond a small group of buyers; the 6-18 month risk is that custom ASIC adoption lowers Nvidia's share of incremental inference spend even if total AI spending remains strong. Falsify a constructive NVDA thesis if management signals material gross-margin pressure, if two or more major cloud platforms reduce AI capex guidance, or if TSMC's advanced-packaging utilization weakens.

Key Decisions for Investors

• Maintain a core long NVDA only on pullbacks or after capex-confirming earnings from MSFT, AMZN, GOOGL and META; target a 6-12 month holding period. Size against the risk that a 5-10 point gross-margin reset drives a sharp multiple de-rating despite continued revenue growth.
• Prefer a diversified AI-infrastructure basket: long NVDA, TSM and AVGO in roughly equal risk weights for 6-18 months. This retains exposure to AI capex while reducing dependence on Nvidia preserving all accelerator economics; reassess if advanced-packaging commentary or hyperscaler networking demand softens.
• Use a relative-value hedge rather than an outright bearish position: long NVDA / short AMD only if upcoming results confirm Nvidia platform demand and AMD does not materially raise accelerator revenue expectations. Cover the pair if AMD demonstrates sustained supply availability and large-customer design wins, as share expectations can reset quickly from a low base.
• Avoid buying upside NVDA calls solely on the stated forward-P/E thesis. A call position becomes actionable only after implied volatility and post-earnings move pricing are available; require upside breakeven below a plausible earnings-driven move and cap premium at a predefined portfolio loss budget.