Once-in-a-Decade Buy? This Magnificent Seven AI Stock Up 900% in Five Years Is Now the Cheapest of the Group

The Quick Take

• One Magnificent Seven AI stock has soared roughly 900% over five years and is currently the cheapest of the group on a forward price-to-earnings basis
• The "once-in-a-decade buying opportunity" framing reflects a valuation reset after the stock corrected from peak levels despite continued fundamental growth
• The Magnificent Seven's continued AI infrastructure spend — data centres, GPUs, power — validates the underlying AI thesis that drove the 900% appreciation
• Buying at the cheapest forward multiple in the group offers asymmetric upside if AI capex cycle sustains through 2027-2028

Synthesized from 2 sources — full coverage, sentiment breakdown, and forward signals below.

The Magnificent Seven — Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta, and Tesla — have collectively been the dominant drivers of US equity market returns since 2023, underpinned by the generative AI investment supercycle. Within this elite group, one stock has delivered approximately 900% appreciation over five years — a figure consistent with Nvidia's trajectory from its pre-2021 levels to peak in late 2024 — and has since corrected to a point where its forward price-to-earnings ratio is the lowest among the seven. The "once-in-a-decade buying opportunity" analysis is essentially an argument that the correction has over-discounted the company's near-term earnings risk relative to its structural position in the AI hardware or infrastructure stack.

The logic of buying "the cheapest of the Magnificent Seven" has historical precedent in previous tech cycles. Apple in 2018, Microsoft in 2022, and Alphabet in early 2023 each traded at relative discounts to peer multiples at points that proved to be strong entry levels. The key variable is whether the relative cheapness reflects a temporary sentiment dislocation or a genuine fundamental deterioration. For the AI-infrastructure leader scenario (Nvidia), the cheapness in late 2026 could reflect GPU demand cycle concerns — hyperscalers trimming capex guidance — while the underlying architecture superiority of H100/H200/Blackwell chips maintains pricing power. For a SaaS-oriented AI name (Microsoft), cheapness could reflect Azure growth deceleration fears against an improving AI Copilot monetisation backdrop.

For investors evaluating this opportunity, the key question is: what is the market discounting that will prove wrong? A 900% five-year return followed by a correction back to the cheapest forward multiple in the group implies that the market has temporarily repriced for a scenario that the underlying business's fundamentals don't support. The catalysts that resolve this repricing — either validating the fear (capex cut by hyperscalers, AI demand plateau) or invalidating it (continued GPU/cloud revenue beats, AI monetisation inflection) — will emerge from Q3 2026 earnings season. Watch for Nvidia's data centre revenue and guidance, Microsoft Azure AI revenue growth rate, and Alphabet's Cloud + AI studio revenue mix as the concurrent signals that will determine whether today's cheapness is a buying opportunity or a value trap.