Nvidia's AI Spending Shift Sparks Debate on Reddit: Memory Costs and Margins Take Center Stage After Earnings Beat

Memory now accounts for 50% of global AI spending, raising questions about Nvidia's profit margins on complete AI systems.
Nvidia beat Q2 FY27 earnings consensus with $96.2B in revenue and guided Q3 to $108B, but the stock sold off as investor focus shifted from demand to profitability.
Reddit users debated whether Nvidia is undervalued relative to AMD's P/E ratio, while options traders eyed long-term leap calls with a $300 strike expiring in 2028.

Nvidia

$NVDA was the top-ranked ticker on Reddit on August 29, driven by 18 posts, 992 comments, and 2,344 upvotes across major investing communities. The discussion centered on a critical shift in the AI investment thesis: as Nvidia sells complete AI systems rather than just GPUs, rising input costs—particularly for high-bandwidth memory (HBM)—are forcing investors to reassess how much profit the company can capture from each dollar of AI spending.

Memory Costs Reshape the AI Narrative

A highly upvoted post on r/wallstreetbets highlighted a Yahoo Finance article noting that memory now constitutes 50% of global AI spending. The post, which garnered 2,019 upvotes and 240 comments, underscored a growing concern: as Nvidia integrates expensive HBM from suppliers like

$MU into its systems, its gross margins could face pressure. Nvidia's Q2 FY27 gross margin came in at 75.0%, down from 72.4% a year earlier, and the company guided Q3 to approximately 74.0%.

On r/stockmarket, a detailed post analyzing the post-earnings selloff argued that investors have shifted from asking "Is AI demand still strong?" to "How much profit can Nvidia capture from each additional dollar of AI spending?" The post noted that Nvidia's revenue hit $96.2B, beating consensus of ~$92B, and Q3 guidance of $108B topped street estimates of ~$103.8B. Yet the stock faded after trading near $230, as the market digested rising input costs for HBM memory, networking, packaging, and power equipment.

Valuation Debate: Is Nvidia Undervalued?

On r/investing, a post argued that Nvidia is "massively undervalued" based on its earnings relative to

$AMD's trailing P/E ratio of 122x. The author calculated that applying AMD's multiple to Nvidia's $226.3B in annual earnings would imply a market cap of over $27.6 trillion—more than five times its current valuation. The post sparked 91 comments, with users debating whether the comparison is valid given differences in business models and growth trajectories.

Another r/stockmarket post celebrated Nvidia's earnings beat, noting that the company beat its own guidance for the 13th straight quarter. Data Center revenue reached $89.0B, up 117% year-over-year and representing ~92% of total revenue. The post also highlighted CFO Colette Kress's first-ever long-term revenue forecast on the earnings call, which surprised analysts.

Options Traders Eye Long-Term Bets

On r/options, a trader with 51 upvotes shared plans to buy NVDA leap calls expiring January 21, 2028, with a $300 strike price. The post noted 95.33K open interest at that strike, suggesting significant institutional positioning. The trader planned to own five contracts, giving control over 500 equivalent shares, with the thesis that NVDA could cross $400 by expiration.

Meanwhile, on r/daytrading, a trader shared a scalping strategy focused on 0-5DTE options on major tech stocks including NVDA. The post emphasized strict position sizing and mental stops after initial losses, reflecting the high-risk, short-duration trading style common among retail options traders.

NVDA

Broader AI Infrastructure Themes

Same-day news articles from The Motley Fool reinforced the AI infrastructure narrative. One article argued that betting on AI's electricity demand—via utility stocks like

$NEE,

$SO, and

$BEP—may be a safer play than betting on individual chipmakers. Another highlighted

$CAT's power generation business, which has grown nearly as large as its construction segment, driven by AI data center demand for generators and turbines.

These articles align with the Reddit discussion theme that the AI investment thesis is broadening beyond chipmakers. As one r/stockmarket post noted, the market is becoming more discerning about AI exposure, as evidenced by

$MRVL's selloff despite strong earnings.

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