Nvidia’s AI buildout narrative keeps 2029 stock-price debates alive as Data Center revenue accelerates

Nvidia (NASDAQ: NVDA) continues to anchor market expectations around artificial intelligence infrastructure, even as forward-looking stock-price questions become increasingly sensitive to assumptions about growth, competition, and chip demand over the next several years. In a recent discussion, Yahoo Finance-linked outlet 24/7 Wall St. posed a long-range question: what Nvidia’s stock price might be in 2029. Rather than treating the idea as a forecast grounded in near-term catalysts, the piece effectively uses Nvidia’s current momentum to illustrate how different valuation paths could yield very different outcomes by the end of the decade.

The center of the argument is Nvidia’s Data Center segment, which sells accelerated computing platforms used for training and running AI workloads. The article points to Data Center revenue of $75.25 billion in Q1 FY27, up 92% year over year. That figure, if sustained in some form, suggests Nvidia is capturing a disproportionate share of spending tied to AI compute buildouts, and it helps explain why investors continue to focus on revenue durability and margin expansion as key drivers of long-term equity value.

The discussion also leans on Nvidia CEO Jensen Huang’s description of the market being built out as something close to industrial-scale infrastructure. Huang has described the demand dynamic as “the buildout of AI factories,” characterizing it as what he called the largest infrastructure expansion in human history. In the context of a 2029 stock-price question, that kind of framing matters because it implies that Nvidia’s opportunity is not limited to a one-time hardware cycle, but could instead evolve into a multi-stage deployment and refresh cycle for AI compute capacity.

However, turning present fundamentals into a specific stock price five quarters, let alone several years, down the line is difficult, and the article does not appear to offer a single, testable estimate that can be validated against upcoming reported results. What tends to dominate exercises like these are scenario assumptions, such as whether Nvidia can keep converting rising demand into sustained revenue growth, whether additional product cycles expand the addressable market, and whether rivals and customers push back on pricing or design win economics.

Nvidia does disclose detailed segment revenue and operating performance each quarter, which is where investors typically anchor longer-horizon views. Still, for a question framed as “what will be” in 2029, market participants are implicitly betting on what the company’s Data Center business looks like after the current wave of spending transitions from initial capacity builds to ongoing capacity growth, upgrades, and software-driven optimization.

From a sector standpoint, the debate reflects a broader reality for technology stocks tied to AI infrastructure: expectations can compress or expand quickly as markets reprice growth rates and discount rates. In the short run, Nvidia’s stock can move on quarterly results and guidance, but in the long run it becomes more about the implied path for earnings. That is why a dramatic near-term growth figure, such as the $75.25 billion Data Center quarter highlighted in the discussion, tends to keep long-range valuation arguments in play even when the exact end-state remains uncertain.

There is also a missing piece in any long-range, media-driven valuation exercise: disclosure about methodology. The 24/7 Wall St. discussion is built around the question of a 2029 stock price, but the post does not replace that broad question with a transparent, audit-friendly model in the text available here. Until investors can see the explicit assumptions, including growth rates, margins, and how future cash flows are discounted, readers should treat any 2029 price outcome as a scenario-based illustration rather than a measurable prediction.

Looking ahead, the practical watch items remain the same: Nvidia’s next quarters of Data Center revenue and how management describes demand, customer deployment timelines, and the cadence of AI infrastructure buildouts. If Nvidia’s revenue trajectory continues to reflect strong AI factory-style demand, long-range valuation arguments will likely keep resurfacing. If growth normalizes or pricing pressure appears, those same exercises would likely shift quickly, underscoring how sensitive 2029 stock-price scenarios are to changes in fundamentals.