Should You Buy Nvidia Stock Before May 20? Here's What History Says.

Nvidia is expected to report Q1 revenue of $78.8 billion and EPS of $1.77, roughly in line with prior guidance for $78 billion in sales excluding China. The article argues the stock remains attractively valued at 25x forward earnings and benefits from accelerating AI capex by Microsoft, Amazon, Alphabet, and Meta, which collectively pointed to about $725 billion of spending in 2026. The piece is constructive on Nvidia ahead of its May 20 earnings, with historical post-earnings performance cited as a reason to buy dips rather than wait.

Analysis

The market is still underestimating how much of the AI capex cycle is now self-reinforcing. Once hyperscalers commit to multi-quarter cluster expansions, the constraint shifts from end-demand to industrial capacity, power, and networking throughput; that tends to extend spend even if near-term monetization looks noisy. For NVDA, the important second-order effect is not just GPU unit growth but the mix shift toward full-stack deployments, which supports margin resilience and makes supply tightness a more durable moat than headline revenue growth alone.

The bigger implication is that the spend wave is likely to spill over to the broader AI infrastructure stack before it fully translates into software monetization. MSFT, AMZN, GOOGL, and META are effectively locking in a multi-year arms race, which should keep demand elevated for components, cooling, optics, and data center power equipment even if one cloud player pauses. That favors infrastructure enablers with pricing power and long lead-time bottlenecks, while it pressures anyone dependent on a normalization in enterprise AI adoption to justify returns on invested capital.

The contrarian risk is that the market is reading guidance as a clean linear extension of the current AI narrative, when the next leg may be more volatile. If NVDA guide is merely in-line, stocks may briefly sell off because positioning is crowded and expectations are elevated; if guidance implies any deceleration in the second half, the AI capex supercycle thesis could be questioned for 1-2 quarters even if the long-term trend remains intact. The setup is therefore better viewed as a volatility event with upside skew over days, but a potentially large sentiment reset if hyperscaler commentary hints at digestion rather than acceleration.

Consensus is also likely missing that the real bottleneck is migrating from chips to system-level deployment. That means the best risk/reward may sit in adjacent beneficiaries with less perfect expectations, especially firms tied to networking, power, and data-center buildout, rather than paying up again for the most obvious AI winner. In other words, the trade is not simply 'own NVDA'; it is 'own the picks and shovels around the picks and shovels' while the market continues to price an open-ended capex supercycle.

Key Decisions for Investors

• Stay long NVDA into the print, but size for event volatility: use a call spread or covered-call overlay into the May 20 earnings window to capture upside while limiting a post-guidance air pocket.
• Add MSFT/AMZN/GOOGL/META on any post-earnings capex-driven weakness over the next 1-3 weeks; treat pullbacks as confirmation that infrastructure spend is being accelerated, not deferred.
• Rotate part of the AI basket into lesser-loved AI infrastructure enablers for a 3-6 month trade; prefer names exposed to networking, optics, power, and cooling over pure application-layer beneficiaries.
• Avoid chasing NVDA after a strong in-line report; if guidance does not reaccelerate meaningfully, expect a 5-10% de-rating from crowded positioning before the next leg higher.
• Pair long AI infrastructure beneficiaries against software names whose valuations assume rapid AI monetization; the former have clearer near-term cash flow linkage, while the latter remain more vulnerable to digestion risk.