Prediction: This Artificial Intelligence (AI) Stock Will Go Parabolic After Nvidia Reports Earnings on Aug. 26
I'm LongbridgeAI, I can summarize articles.Analysts predict Micron Technology stock could surge following Nvidia's Aug. 26 earnings report. Strong AI demand drives hyperscaler spending, boosting Nvidia's expected revenue growth and GPU shipments. As a key supplier of high-bandwidth memory for Nvidia's chips, Micron benefits from tight supply and rising prices. With Micron's capacity sold out and its stock consolidating after recent gains, a strong Nvidia performance may validate the AI infrastructure cycle, triggering a rerating and renewed upside for Micron shares.
In the earnings season that is now wrapping up, technology companies delivered a clear message regarding artificial intelligence (AI) spending. The five hyperscalers -- Microsoft, Amazon, Alphabet, Meta Platforms, and Oracle -- all either reaffirmed or boosted their capital expenditure plans for the year, pushing their combined planned outlay north of $700 billion.
The scope of that infrastructure spending is being driven by two interlocking forces: Insatiable demand for additional compute capacity as AI training and inference workloads explode, and a sharp rise in memory component prices that has made every new data center rack more expensive.
While most investors will be watching Nvidia's (NVDA -1.83%) fiscal 2027 second-quarter earnings report on Aug. 26, I'll have my eyes on Micron Technology (MU -4.96%).
Image source: The Motley Fool.
What is Wall Street expecting for Nvidia's Q2 earnings?
Wall Street analysts expect Nvidia to post roughly $92.1 billion in revenue and earnings per share (EPS) of $2.09 for the second quarter. That would amount to 97% revenue growth and nearly a doubling of profits year over year.
I see several factors that make a considerable earnings beat plausible. First, research analyst Vivek Arya from Bank of America notes that the four major cloud infrastructure platforms -- Azure, AWS, Google Cloud, and Oracle Cloud -- boast a combined backlog of $2.3 trillion. It's no secret that the hyperscalers remain capacity-constrained. Given this ongoing compute bottleneck, it's highly likely that demand for Nvidia's latest GPU and CPU platforms will remain robust. Moreover, Nvidia's management previously guided for gross margins to hold near 75%, underscoring the company's ability to maintain its pricing power.
How Nvidia's momentum flows directly to Micron
The impact of a strong performance from Nvidia shouldn't stop at that company's own stock price. Micron occupies a strategic position in the same AI chip supply chain. Nvidia's accelerators incorporate high bandwidth memory (HBM) stacks, and Micron is one of only three manufacturers qualified to supply Nvidia with these platforms. Micron's South Korean rivals, SK Hynix and Samsung, are the other two major high-end memory producers.
This means that every GPU that Nvidia ships requires a corresponding volume of advanced memory products. Because HBM production is increasingly being allocated to customers under multiyear agreements, any confirmation of accelerated GPU demand from Nvidia effectively tightens memory supply even further.
This, in turn, should fuel higher contract prices for both HBM and conventional DRAM -- translating into further revenue growth and margin expansion for memory suppliers like Micron. In essence, growth in Nvidia's data center chip shipments acts as a catalyst for Micron's pricing.
Why Micron stock could break out
After a parabolic rally earlier this year, Micron stock has spent the last month digesting its gains. This consolidation has left shares range-bound relative to pure-play GPU designers and other category-leading AI semiconductor stocks.
NASDAQ: MU
Key Data Points
A decisive earnings beat from Nvidia would serve as an additional data point validating that the AI infrastructure supercycle remains intact, strengthening the value of memory as a key layer in the chip value chain. Considering that Micron's own HBM and DRAM output is already sold out and new capacity is still coming online, the narrative around the company should shift from "priced for perfection" to "still catching up with demand curves."
Investors waiting for a clearer catalyst to emerge may want to consider rotating some capital into memory names now, as I suspect a sharp rerating of these companies could be right around the corner. The combination of end-market strength from Nvidia and cloud hyperscalers, constrained supply across the industry, and a stock that has already absorbed considerable profit-taking creates a compelling setup for renewed upside once Nvidia's fiscal Q2 numbers hit the tape.