Nvidia Edges Micron in Analyst Picks Despite Both AI Stocks' Strong Momentum

Memory demand is outpacing supply, lifting prices and expanding earnings
Micron's 163% year-to-date rally reflects the relentless need for memory chips to power AI systems.
Mark

So both of these companies are benefiting from the same AI boom, right? Why would analysts prefer one over the other?

Mimi

They're both riding the same wave, yes, but they're at different points in the journey. Micron has already rallied 163 percent this year. That's a huge move. Nvidia has only gone up 15.5 percent. When analysts look at where each stock can go from here, they see more room for Nvidia.

Mark

But Micron's analyst says investors are still underestimating how much AI will drive memory demand. Doesn't that suggest Micron has more upside too?

Mimi

It does suggest that, and Luria makes a thoughtful case. But the Street's average price target for Micron implies 12.5 percent downside from current levels. So even though analysts are bullish on the company's long-term prospects, they think the stock has already priced in a lot of that good news.

Luke

Wait—how much of that Micron upside is actually new? Luria says investors are underestimating AI's impact on memory demand. But if the stock has already gone up 163 percent, hasn't the market already incorporated a pretty aggressive view of AI demand?

Mimi

That's the tension, yes. The stock has moved a lot, but Luria argues the market still doesn't fully appreciate the structural shift in memory—that it's no longer cyclical. Whether that argument holds up depends on whether memory demand really does stay elevated and doesn't revert to the old cyclical pattern.

Mark

And Nvidia's case is stronger because the stock hasn't moved as much?

Mimi

Partly, yes. But it's also about execution and market position. Nvidia beat earnings expectations, raised guidance, and is launching new products that are winning market share. The company is also projecting that AI infrastructure spending will triple by 2030. That's a very large addressable market.

Luke

But those projections come from Nvidia itself. How much of that $3 to $4 trillion figure is based on actual customer commitments versus management's optimism about where the market is headed?

Mimi

That's a fair question. The projections are forward-looking. What we know for certain is that current demand is strong and Nvidia is winning in that current market. The bigger question is whether that demand sustains and grows as aggressively as the company expects.

Mark

So the real difference is that Nvidia looks cheaper relative to its growth prospects, while Micron looks expensive relative to what's already happened?

Mimi

That's a reasonable summary. Nvidia has 41 percent upside in the analyst consensus. Micron has 12.5 percent downside. Both companies are bullish long-term bets on AI, but the market has already paid a lot for Micron's story.

Luke

One more thing—Micron is an oligopoly in DRAM, which Luria says provides stability. But Nvidia's dominance in AI chips is even more pronounced. So why isn't Nvidia's moat being valued more aggressively?

Mimi

It is being valued aggressively. The question is whether that valuation is justified by the growth ahead. Analysts think it is, but that's an assumption that depends on the company executing and the market growing as expected.

  • AI infrastructure spending is accelerating at a pace that is reshaping how analysts value the entire semiconductor sector, with projections suggesting annual investment could triple to $3–4 trillion by 2030.
  • Micron's 163% year-to-date surge reflects a genuine reclassification — from cyclical commodity player to essential AI infrastructure supplier — but that rerating has already been priced in, leaving analysts warning of 12.5% downside risk.
  • Nvidia delivered a blowout quarter, announced an $80 billion buyback, raised its dividend twenty-fivefold, and unveiled chip platforms — Blackwell and Vera Rubin — that are winning share in the highest-stakes corners of the AI market.
  • Vera Rubin alone is projected to unlock a $200 billion CPU market opportunity for Nvidia, a segment it has never historically competed in, signaling that the company's growth story is still expanding its boundaries.
  • Wall Street's verdict is clear in the numbers: 41.3% projected upside for Nvidia versus meaningful downside for Micron, a gap that reflects not skepticism about AI, but a judgment about which company still has the most road ahead.

As artificial intelligence reshapes the foundations of the global economy, two semiconductor giants — Nvidia and Micron Technology — stand at the center of a Wall Street debate about where the greatest value still lies. Both companies have ridden the same wave of insatiable AI infrastructure demand, yet analysts draw a meaningful distinction: Micron's remarkable 163 percent rise this year has consumed much of its near-term upside, while Nvidia's dominant position in AI chips and its expanding vision of a multi-trillion-dollar infrastructure future leave room for a 41 percent climb still ahead. In the calculus of markets, timing and trajectory matter as much as the underlying story — and right now, Wall Street believes Nvidia's chapter is far from finished.

The spring earnings season restored confidence across the artificial intelligence sector. Demand for AI infrastructure showed no signs of slowing, and the companies supplying the chips and memory that power this buildout reported results that matched or exceeded expectations. Two names stood out above the rest: Nvidia and Micron Technology.

Micron has had a spectacular year, with its stock climbing 163 percent since January. The driver is straightforward — memory demand is outpacing supply, prices are rising, and Micron's revenues are expanding accordingly. More importantly, the market is beginning to see Micron differently. For years it was treated as a cyclical business, cheap by design because its fortunes rose and fell with the broader chip cycle. That perception is shifting. D.A. Davidson analyst Gil Luria initiated coverage with a Buy rating and a $1,000 price target, arguing that high-bandwidth memory margins, the oligopoly structure of the DRAM market, and long-term supply contracts make Micron's future far more durable than the old playbook suggested. Wall Street broadly agrees — 27 analysts rate it a Buy — but the average price target of $657 implies the stock has already run past fair value, with 12.5 percent downside from current levels.

Nvidia's story carries a different energy. The company beat first-quarter expectations, issued strong guidance, authorized an $80 billion share buyback, and raised its quarterly dividend twenty-fivefold. Its newer chip platforms, Blackwell and Vera Rubin, are gaining share among the hyperscale companies building the largest AI systems. Baird analyst Tristan Gerra raised his price target to $500 from $300, citing Vera Rubin's faster-than-expected adoption and its potential to open a $200 billion CPU market — territory Nvidia has never competed in before. Management projects that AI infrastructure spending will surge from over $1 trillion in 2027 to between $3 and $4 trillion annually by 2030, driven by the rise of autonomous agentic AI systems.

Both companies are beneficiaries of the same underlying boom. But analysts see a meaningful difference in how much upside remains. Micron's year has already been extraordinary; Nvidia's, by Wall Street's reckoning, is still unfolding. With 39 analysts rating Nvidia a Buy and an average price target implying 41.3 percent upside, the Street's message is clear: in the race to capture the value of the AI buildout, execution and room to run still matter most.

The spring earnings season brought a wave of confidence back to artificial intelligence stocks. Companies across the sector reported results that matched or beat expectations, and they all told the same story: demand for AI infrastructure remains voracious, spending shows no signs of slowing, and the companies positioned to supply the chips and memory that power this buildout are seeing their fortunes rise accordingly.

Two of the most prominent players in this space—Nvidia and Micron Technology—have both ridden this momentum hard. Micron's stock has climbed 163 percent since the start of the year, lifted by the relentless need for memory chips to feed the AI systems that companies are racing to build. Memory demand is outpacing supply, which means prices are rising and Micron's revenue and earnings are expanding along with them. Analysts and investors have begun to see memory makers differently than they once did. For years, Micron was viewed as a cyclical business, the kind that trades cheaply because its fortunes rise and fall with the broader chip cycle. That perception is shifting. The company is now being recognized as a key player in the infrastructure layer of the AI boom, one whose long-term prospects may be far more durable than the old cyclical playbook suggested.

D.A. Davidson analyst Gil Luria recently initiated coverage of Micron with a Buy rating and a $1,000 price target. Luria acknowledged that many investors still see Micron through the old lens—a flat, cyclical business trading at less than ten times earnings. But he pointed to three things that should change that view: the higher profit margins that come from selling high-bandwidth memory, the oligopoly structure of the DRAM market that limits competition, and the stability provided by long-term contracts that lock in demand. Luria's core argument is that investors are still underestimating how much AI will drive memory demand over the long term. Larger and more advanced AI models require significantly more memory, and that requirement will only grow as the models get bigger and more capable. Wall Street as a whole agrees. Micron carries a Strong Buy consensus rating from 27 analysts who rate it a Buy and three who rate it a Hold. The average price target across the Street is $657.41, which implies 12.5 percent downside from where the stock trades now.

Nvidia's story is different in tone, if not in substance. The company reported first-quarter earnings that beat the market's expectations and issued guidance that suggested the momentum will continue. Demand for its AI graphics processors remains strong. The company announced an $80 billion buyback authorization and raised its quarterly dividend twenty-five fold, to twenty-five cents per share. Both moves signal management's confidence in the company's ability to generate cash and return it to shareholders. Nvidia's newer chip platforms—Blackwell and Vera Rubin—are winning market share, particularly in the inference segment of the market and among the hyperscale companies that are building the largest AI systems.

Barid analyst Tristan Gerra raised his price target for Nvidia to $500, up from $300, and reaffirmed his Buy rating. Gerra highlighted that Vera Rubin is expected to see faster adoption than Blackwell did, and that the chip's performance will significantly exceed that of traditional x86 processors. Nvidia projects that Vera Rubin alone could open up a $200 billion market opportunity in CPUs, a segment where the company has not historically competed. The company also expects to generate about $20 billion in CPU revenue this year. Beyond the near term, Nvidia's management is projecting that AI infrastructure spending will surge from more than $1 trillion in 2027 to between $3 trillion and $4 trillion annually by 2030. That growth will be driven by the adoption of agentic AI—systems that can act autonomously on behalf of users—across industries. Nvidia stock carries a Strong Buy consensus rating from 39 analysts who rate it a Buy, one who rates it a Hold, and one who rates it a Sell. The average price target is $304.32, which implies 41.3 percent upside from current levels. The stock has risen 15.5 percent year to date.

Wall Street is bullish on both companies. But the analyst consensus points to a meaningful difference in how much room each has to run. Micron has already had a spectacular year, and the Street's average price target suggests the stock is fairly valued or even slightly overvalued from here. Nvidia, by contrast, is seen as having substantial upside ahead. The difference reflects confidence in Nvidia's execution, its track record of innovation, and its dominant position in the market for AI chips. Both companies benefit from the same underlying trend—the massive buildout of AI infrastructure. But analysts believe Nvidia is better positioned to capture the value that buildout creates.

Investors are still underestimating the extent to which AI will drive massive long-term demand for memory, as larger and more advanced AI models require significantly more memory.
— D.A. Davidson analyst Gil Luria on Micron
Nvidia expects AI infrastructure spending to jump from more than $1 trillion in 2027 to $3-$4 trillion annually by 2030, driven by the growing adoption of agentic AI across industries.
— Baird analyst Tristan Gerra, citing Nvidia guidance
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