<p>To date, <strong>Nvidia</strong> <span class="ticker-mention inline-flex items-center font-bold">(NVDA <span class="ml-1 text-red-900">1.38%</span>)</span> and <strong>Micron Technology</strong> <span class="ticker-mention inline-flex items-center font-bold">(MU <span class="ml-1 text-green-900">+2.11%</span>)</span> are two of the biggest winners from the artificial intelligence infrastructure build-out. The stocks have added 1,320% and 1,940%, respectively, since January 2023. But most Wall Street analysts think one of the two is overvalued.</p>
<ul>
<li>Among 69 analysts, Nvidia has a median target price of $300 per share. That implies 44% upside from its current share price of $208.</li>
<li>Among 49 analysts, Micron has a median target price of $949 per share. That implies 8% downside from its current share price of $1,034.</li>
</ul>
<p>The Wall Street consensus implies investors should buy Nvidia and sell Micron at current prices. Here are the details you need to make an educated decision.</p>
<div><img alt="A golden bear and golden bull face each other while standing on newsprint." width="880" height="563" src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84NzQ5NDUvYnVsbC1hbmQtYmVhci0wLmpwZyZ3PTM4NDA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84NzQ5NDUvYnVsbC1hbmQtYmVhci0wLmpwZyZ3PTM4NDA"/>
<p>Image source: Getty Images.</p>
</div>
<h2><strong>Nvidia: 44% upside implied by Wall Street's median target price</strong></h2>
<p>Nvidia's graphics processing units (GPUs) are the industry standard in accelerating artificial intelligence (AI) workloads. Nvidia systems consistently achieve better results than alternative infrastructure solutions at the MLPerf benchmarks, a series of standardized tests that measure how AI systems perform across training and inference tasks.</p>
<p>Nvidia accounts for nearly 90% of AI accelerator sales, and the company has reinforced its dominance with Grace Blackwell, a superchip that combines Grace CPUs and Blackwell GPUs. That unified architecture eliminates data transfer bottlenecks by creating a shared memory pool. Nvidia CFO Colette Kress says Grace Blackwell is the fastest, most efficient AI training and inference system on the market.</p><div><div id="foolcom_sidebar_top_container"><div><div><div></div><div></div><div></div></div></div><div></div></div></div>
<p>Nvidia reported solid first-quarter financial results. Revenue rose 85% to $81.6 billion, because of strong demand for data center compute and networking products. And non-GAAP net income increased 140% to $1.87 per diluted share. The company is well positioned to maintain its momentum as its next-generation Vera Rubin superchip starts shipping later this year.</p><div></div>
<p>Vera Rubin is 10 times more efficient than Grace Blackwell. &#34;Every single frontier model company will jump on Vera Rubin from the get-go. That was not true before on Blackwell,&#34; CEO Jensen Huang recently told analysts. &#34;So, Vera Rubin is off to a tremendous start, and it will surely be more successful than even Grace Blackwell.&#34;</p><div><div id="in_line_article_pitch_container"><div><div><div><div></div></div><div><div></div><div></div><div></div></div></div></div><div></div></div></div>
<p>Looking ahead, Nvidia has a long runway for growth. The AI infrastructure market is forecast to hit $4 trillion by 2030, nearly quadruple its size today. Nvidia currently trades at 32 times earnings, essentially its cheapest valuation in seven years. That price looks particularly attractive because Wall Street estimates adjusted earnings will increase at 43% annually through fiscal 2029 (ends in January).</p>
<section><div><div><div><small><div>Expand</div></small></div><div><img alt="Micron Technology Stock Quote" width="64" height="64" src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL01VLnBuZyZ3PTEyOA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vYXJ0L2NvbXBhbnlsb2dvcy9tYXJrL01VLnBuZyZ3PTEyOA"/></div><div><h2>NASDAQ: MU</h2><div>Micron Technology</div></div></div><div><div><div>Today's Change</div><div>(2.11%) $21.58</div><div>Current Price</div><div>$1042.34</div></div><div></div></div></div><div><div></div><div><h3>Key Data Points</h3><div><div>Market Cap</div><div>$1.2T</div><div>Day's Range</div><div>$1014.47 - $1093.62</div><div>52wk Range</div><div>$103.38 - $1110.40</div><div>Volume</div><div>1.5M</div><div>Avg Vol</div><div>51.2M</div><div>Gross Margin</div><div>58.54%</div><div>Dividend Yield</div><div>0.05%</div></div></div></div></section>
<h2>Micron Technology: 8% downside implied by Wall Street's median target price</h2>
<p>Micron designs memory and storage solutions across four end markets: consumer devices (computers and smartphones), automotive systems, enterprise data centers, and cloud hyperscalers. Its portfolio includes NAND (long-term storage) and DRAM (working memory) products, both of which support AI workloads.</p>
<p>Micron reported second-quarter financial results that crushed estimates on the top and bottom lines. Sales increased 196% to $23.8 billion, driven by particularly strong growth in the consumer and enterprise data center end markets. Non-GAAP net income increased 682% to $12.20 per diluted share.</p>
<p>However, Micron lacks a durable economic moat because memory chips are commodities, meaning products from different manufacturers are mostly interchangeable. While Micron is growing very quickly, the driving force behind that growth has been price increases supported by a severe supply shortage.</p>
<p>However, higher prices have been even more beneficial for the industry leaders <strong>Samsung</strong> and <strong>SK Hynix</strong>, both of which gained market share at Micron's expense in the most recent quarter. And the industry dynamics are unlikely to change, at least not in the near future, because Samsung and SK Hynix have a key advantage in greater production capacity.</p>
<p>Importantly, the memory chip industry has historically alternated between boom and bust cycles. Wall Street expects the current boom to peak in 2028, implying that sales will drop sharply in 2029. Accounting for that headwind, Micron's adjusted earnings are forecast to increase at 13% annually through fiscal 2029 (which ends in August). That makes the current valuation of 48 times earnings look quite expensive.</p><div id="article_pitch_container"><div><div><div></div><div></div><div></div><div></div><div></div><div></div><div></div></div></div><div></div></div><div id="promobox_container"><div><div><div></div><div></div><div></div><div></div></div></div><div></div></div>

NVDA

<p>Wall Street analysts recommend buying Nvidia and selling Micron. Nvidia, with a 44% upside to its $300 target, benefits from AI dominance and strong earnings growth. Conversely, Micron faces an 8% downside to its $949 target due to commodity risks, intense competition from Samsung and SK Hynix, and cyclical industry headwinds.</p>

- Nvidia and Micron Technology have seen substantial stock gains since January 2023, with increases of 1,320% and 1,940%, respectively.  
- While Nvidia is favored with a projected 44% upside based on analyst targets, Micron is viewed as overvalued with an expected 8% downside.  
- Analysts suggest buying Nvidia due to its strong AI market position and growth potential, while cautioning against Micron due to its lack of competitive advantage and a cyclical downturn in the memory chip industry.

Nvidia Stock vs. Micron Stock: Wall Street Says Buy One and Sell the Other