Why Wall Street thinks US memory maker Micron is the next Nvidia
Eager to find more public AI-related companies that may do as well as Nvidia, Wall Street investors think they've found a winner with Micron.
Micron, the Boise, Idaho-based memory chip maker, has captured Wall Street’s heart. Whether the love affair endures will heavily depend on how long the AI-driven supply crunch for memory chips lasts.
Micron promises that it has shored up its position for the long term, which would allow it to withstand a sudden drop in demand or overcapacity of supply. And Wall Street has become a believer, helping Micron briefly surpass the market valuation of Meta and Tesla for the first time on Thursday, though it floated back down by Friday to nearly match them.
Specifically Micron closed Friday’s trading with a market cap close to $1.27 trillion, while Meta was at $1.39 trillion and Tesla was at $1.42 trillion. Micron’s stock has soared over 236% in the past month alone, closing Friday at $1,132 a share. In comparison, it spent years upon years before mid-2025 at below $100 a share.
It’s a dizzying rise for a company that most consumers associated with the tiny memory cards that, back in the day, were commonly needed to boost PCs, smartphones, or other device storage.
Wall Street isn’t sweating over that product line. Micron is benefiting from the AI data center buildout boom that has created a shortage of system memory chips, both DRAM and NAND, which Micron makes, particularly High-Bandwidth Memory (HBM). A single AI server requires magnitudes more memory than a laptop.
AI system makers like Nvidia, as well as the hyperscalers building their own systems, are buying up large quantities of memory, such as Microsoft, Amazon AWS, Google, Meta and Oracle. This is forcing all the other companies who need memory to hoard it as well, from PC makers like Dell and HP, to other kinds of device makers.
This lack of supply, which has been dubbed RAMageddon , is predicted to persist into 2027 . And it’s already driving up the price of consumer electronics like Apple products and Xbox consoles.
With the whole tech industry clamoring for more memory, Micron’s delivered blockbuster third-quarter earnings last week. Revenue quadrupled year-over-year to $41.45 billion, and profits skyrocketed from $1.88 billion to $28.2 billion over the same period. Micron also provided a positive outlook, forecasting fourth-quarter revenue of between $49 billion and $51 billion.
And Wall Street, which has been eager to find more public AI-related companies that may do as well as Nvidia, became even more enamored.
The historic problem for memory chip makers like Micron and Samsung is that building out manufacturing facilities to increase capacity is a time-consuming, expensive endeavor. And demand often falls just as companies can increase capacity, creating a glut and subsequent price drop.
Micron got ahead of any AI bust chatter by emphasizing a series of long-term supply agreements, including with Nvidia and AI lab Anthropic , that would presumably protect it. The company said in its earnings presentation that it has signed 16 strategic customer agreements across the data center, consumer, and auto market segments, which it expects to fundamentally transform its business model.
That seemed to convince a number of analysts that this company could be another long-term, profitable investment. In a research note, William Blair tech analyst Sebastien Naji noted demand growth continues to outpace the rate that new cleanroom space can come online.
“Given the strong likelihood of continued ASP growth in the coming quarters and improving revenue visibility thanks to a rapidly expanding set of long-term agreements (SCAs) with key customers, we see potential for more durable earnings growth and reiterate our Outperform rating,” Naji wrote.
Whether Micron really can sustain itself for long-term without a bust cycle remains to be seen. But for a brief moment on Thursday, this U.S. company was more valuable than some of the industry’s giants.
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Pontos-chave
- A demanda por chips de memória devido à IA pode beneficiar o setor tecnológico brasileiro.
- A escassez de memória pode levar a aumentos de preços, impactando consumidores no Brasil.
- Parcerias com empresas globais de tecnologia podem ser estratégicas para empresas brasileiras.
Análise editorial
A ascensão da Micron no mercado de ações, impulsionada pela demanda crescente por chips de memória devido à explosão da IA, destaca uma tendência que pode reverberar no setor tecnológico brasileiro. O Brasil, que tem investido em infraestrutura de TI e em startups de tecnologia, pode se beneficiar dessa demanda global por memória, especialmente se empresas locais conseguirem se posicionar como fornecedoras ou parceiras de grandes players internacionais. A escassez de chips, referida como 'RAMageddon', pode levar a um aumento nos preços de produtos eletrônicos, impactando diretamente o consumidor brasileiro, que já enfrenta desafios econômicos.
Além disso, a Micron não é apenas um exemplo isolado; sua trajetória pode inspirar outras empresas brasileiras a explorarem nichos relacionados à IA e à produção de hardware. O fortalecimento de parcerias com empresas de tecnologia que estão investindo em IA, como as mencionadas no artigo, pode ser uma estratégia viável para empresas locais. O cenário atual sugere que a demanda por memória não vai diminuir tão cedo, o que pode criar oportunidades para inovação e desenvolvimento no Brasil.
Por fim, é importante observar como a Micron e outras empresas de memória se adaptam a um mercado em rápida evolução. A capacidade de responder à demanda e gerenciar a oferta será crucial. Para o Brasil, isso significa que as empresas devem estar atentas às tendências globais e se preparar para uma possível escassez de componentes, o que pode impactar a produção e a entrega de produtos tecnológicos no país. A colaboração entre setores público e privado será essencial para mitigar esses riscos e fomentar um ambiente de inovação sustentável no setor de tecnologia brasileiro.
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Fonte original:
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Este artigo foi curado e publicado pelo AIDaily como parte da nossa cobertura editorial sobre desenvolvimentos em inteligência artificial. O conteúdo é baseado na fonte original citada abaixo, enriquecido com contexto e análise editorial. Ferramentas automatizadas podem auxiliar tradução e estruturação inicial, mas a decisão de publicar, a revisão factual e o enquadramento de contexto seguem responsabilidade editorial.
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