Best Stock to Buy: Nvidia Stock or AMD Stock?

Stock Advisor reports a total average return of 930% versus 185% for the S&P 500 (as of April 7, 2026). The piece questions whether to buy Nvidia now, notes Nvidia was not in Stock Advisor’s current top-10 list, and highlights historical hypothetical gains (Netflix: $1,000 → $533,522 since 12/17/2004; Nvidia: $1,000 → $1,089,028 since 4/15/2005). Disclosure: Parkev Tatevosian holds Nvidia; The Motley Fool holds and recommends AMD and Nvidia and may earn affiliate compensation.

Analysis

The AI compute market is bifurcating: high-end training continues to favor architectures that combine raw FLOPS, interconnect bandwidth and a sticky software stack, while inference and edge deployments are opening a much larger low-cost volume market. That split amplifies second-order winners — HBM and advanced-node capacity holders, interposer/interconnect vendors, and hyperscalers doing bespoke ASICs — and creates a durable two-tier supplier structure that raises switching costs for entrenched incumbents.

Key catalysts that will re-rate incumbents are visible on different horizons: in the next 3 months, hyperscaler procurement cadence, inventory rebalancing and earnings guidance drive volatility; over 6–24 months, TSMC/IDM capacity allocation, HBM supply cycles, and geopolitical export controls materially alter share and margin outcomes. The biggest non-linear tail risk is a sustained shift by one or two hyperscalers to in-house accelerators (or a compression in model compute intensity) — that scenario can compress GPU TAM by an order of magnitude on incremental capex within 12–36 months.

Consensus seems to price perpetual, high-double-digit capex growth into market leaders and underprices both the optionality of lower-cost inference winners and the operational leverage of foundries. That implies asymmetric trade opportunities: express conviction via defined-loss long convexity on the leader (to capture re-rate) while taking concentrated, longer-dated optional exposure to the challenger(s) and a small, cheap hedge against a hyperscaler-ASIC breakout that would materially compress incumbent multiples.

Key Decisions for Investors

• Defined-risk NVDA re-rate: Buy NVDA 12–18 month call debit spread (long 12m ATM call, short 12m ~+40–60% OTM call) sized 2% NAV. Rationale: capture re-rate while capping premium paid; target 1.5–3x payoff if data-center spending sustains, max loss = premium (~2% NAV).
• Volatility-financed AMD optionality: Buy AMD Jan-2027 LEAPS (ATM) financed by selling 1–3 month NVDA calls (size net delta ~+0.3 AMD). Timeframe 6–18 months. Rationale: asymmetric upside if inference wins and AMD gains cloud share; risk = short-call assignment/near-term NVDA gamma — target 2–4x on positive share shifts.
• Contrarian INTC swing: Acquire INTC Jan-2028 LEAPS (ATM) sized 1–2% NAV as a multi-year binary on IDM/foundry execution, and sell short-dated OTM calls to reduce cost. Timeframe 12–36 months. Rationale: cheap optionality to manufacturing upside; payoff 2–5x if execution and wins are real, downside limited to premium.
• Tail hedge for platform risk: Buy NVDA 3–6 month put spread (ATM to ~15% OTM) sized to cover 30–50% of existing GPU exposure, cost ~0.5–1% NAV. Rationale: protects portfolio from a sudden hyperscaler pivot or regulatory shock that would collapse multiple leaders' valuations within weeks.