{"id":59491,"date":"2024-06-17T06:00:54","date_gmt":"2024-06-17T10:00:54","guid":{"rendered":"https:\/\/www.ino.com\/blog\/?p=59491"},"modified":"2024-08-19T09:03:37","modified_gmt":"2024-08-19T13:03:37","slug":"how-micron-technology-is-poised-to-benefit-from-ai-investments","status":"publish","type":"post","link":"https:\/\/wwwtest.ino.com\/blog\/2024\/06\/how-micron-technology-is-poised-to-benefit-from-ai-investments\/","title":{"rendered":"How Micron Technology Is Poised to Benefit from AI Investments"},"content":{"rendered":"

Artificial Intelligence (AI) continues revolutionizing industries worldwide, including healthcare, retail, finance, automotive, manufacturing, and logistics, driving demand for advanced technology and infrastructure. Among the companies set to benefit significantly from this AI boom is <\/span>Micron Technology, Inc. (MU)<\/span><\/a>, a prominent manufacturer of memory and storage solutions.<\/span><\/p>\n

MU\u2019s shares have surged more than 70% over the past six months and nearly 104% over the past year. Moreover, the stock is up approximately 12% over the past month.<\/span><\/p>\n

This piece delves into the broader market dynamics of AI investments and how MU is strategically positioned to capitalize on these trends, offering insights into how investors might act now.<\/span><\/p>\n

Broader Market Dynamics of AI Investments<\/b><\/p>\n

According to Grand View Research, the AI market is expected to <\/span>exceed $1.81 trillion by 2030<\/span><\/a>, growing at a CAGR of 36.6% from 2024 to 2030. This robust market growth is propelled by the rapid adoption of advanced technologies in numerous industry verticals, increased generation of data, developments in machine learning and deep learning, the introduction of big data, and substantial investments from government and private enterprises.<\/span><\/p>\n

AI has emerged as a pivotal force in the modern digital era. Tech giants such as <\/span>Amazon.com, Inc. (AMZN)<\/span><\/a>, <\/span>Alphabet Inc. (GOOGL)<\/span><\/a>, <\/span>Apple Inc. (AAPL)<\/span><\/a>, <\/span>Meta Platforms, Inc. (META)<\/span><\/a>, and <\/span>Microsoft Corporation (MSFT)<\/span><\/a> are heavily investing in research and development (R&D), thereby making AI more accessible for enterprise use cases.<\/span><\/p>\n

Moreover, several companies have adopted AI technology to enhance customer experience and strengthen their presence in the AI industry 4.0.<\/span><\/p>\n

Big Tech has spent billions of dollars in the AI revolution. So far, in 2024, Microsoft and Amazon have collectively allocated <\/span>over $40 billion for investments in AI-related initiatives<\/span><\/a> and data center projects worldwide.<\/span><\/p>\n

DA Davidson analyst Gil Luria anticipates these companies will spend over $100 billion this year on AI infrastructure. According to Luria, spending will continue to rise in response to growing demand. Meanwhile, Wedbush analyst Daniel Ives projects continued investment in AI infrastructure by leading tech firms, \u201cThis is a $1 trillion spending jump ball over the next decade.\u201d<\/span><\/p>\n

Micron Technology\u2019s Strategic Position<\/b><\/p>\n

With a $156.54 billion market cap, MU is a crucial player in the AI ecosystem because it focuses on providing cutting-edge memory and storage products globally. The company operates through four segments: Compute and Networking Business Unit; Mobile Business Unit; Embedded Business Unit; and Storage Business Unit.<\/span><\/p>\n

Micron\u2019s dynamic random-access memory (DRAM) and NAND flash memory are critical components in AI applications, offering the speed and efficiency required for high-performance computing. The company has consistently introduced innovative products, such as the <\/span>HBM2E<\/span><\/a> with the industry\u2019s fastest, highest capacity high-bandwidth memory (HBM), designed to advance generative AI innovation.<\/span><\/p>\n

This month, MU announced <\/span>sampling its next-generation GDDR7 graphics memory<\/span><\/a> with the industry\u2019s highest bit density. With more than 1.5 TB\/s of system bandwidth and four independent channels to optimize workloads, Micron GDDR7 memory allows faster response times, smoother gameplay, and reduced processing times. The best-in-class capabilities of Micro GDDR7 will optimize AI, gaming, and high-performance computing workloads.<\/span><\/p>\n

Notably, Micron recently reached an industry milestone as the first to validate and <\/span>ship 128GB DDR5 32Gb server DRAM<\/span><\/a> to address the increasing demands for rigorous speed and capacity of memory-intensive Gen AI applications.<\/span><\/p>\n

Furthermore, MU has forged strategic partnerships with prominent tech companies like <\/span>NVIDIA Corporation (NVDA)<\/span><\/a> and <\/span>Intel Corporation (INTC)<\/span><\/a>, positioning the company at the forefront of AI technology advancements. In February this year, Micron started mass production of its HBM2E solution for use in Nvidia\u2019s latest AI chip. Micron\u2019s 24GB 8H HBM3E <\/span>will be part of NVIDIA H200 Tensor Core GPUs<\/span><\/a>, expected to begin shipping in the second quarter.<\/span><\/p>\n

Also, Micron's 128GB RDIMMs are ready for <\/span>deployment on the 4th and 5th Gen Intel\u00ae Xeon\u00ae platforms<\/span><\/a>.<\/span> In addition to Intel, Micron\u2019s 128GB DDR5 RDIMM memory will be supported by a robust ecosystem, including <\/span>Advanced Micro Devices, Inc. (AMD)<\/span><\/a>,<\/span> Hewlett Packard Enterprise Company (HPE)<\/span><\/a>, and Supermicro, among many others.<\/span><\/p>\n

Further,<\/span> in April, MU qualified a full suite of its automotive-grade memory and storage solutions for Qualcomm Technologies Inc.\u2019s Snapdragon Digital Chassis, a comprehensive set of cloud-connected platforms designed to power data-rich, intelligent automotive services. This partnership is aimed at helping the ecosystem build next-generation intelligent vehicles powered by sophisticated AI.<\/span><\/p>\n

Robust Second-Quarter Financials and Upbeat Outlook<\/b><\/p>\n

Solid AI demand and constrained supply accelerated Micron\u2019s return to profitability in the second quarter of fiscal 2024, which ended February 29, 2024. MU reported revenue of $5.82 billion, beating analysts\u2019 estimate of $5.35 billion. This revenue is compared to $4.74 billion for the previous quarter and $3.69 billion for the same period in 2023.<\/span><\/p>\n

The company\u2019s non-GAAP gross margin was $1.16 billion, versus $37 million in the prior quarter and negative $1.16 billion for the previous year\u2019s quarter. Micron\u2019s non-GAAP operating income came in at $204 million, compared to an operating loss of $955 million and $2.08 billion for the prior quarter and the same period last year, respectively.<\/span><\/p>\n

MU posted non-GAAP net income and earnings per share of $476 million and $0.42 for the second quarter, compared to non-GAAP net loss and loss per share of $2.08 billion and $1.91 a year ago, respectively. The company\u2019s EPS also surpassed the consensus loss per share estimate of $0.24. During the quarter, its operating cash flow was $1.22 billion versus $343 million for the same quarter of 2023.<\/span><\/p>\n

\u201cMicron delivered fiscal Q2 results with revenue, gross margin and EPS well above the high-end of our guidance range \u2014 a testament to our team\u2019s excellent execution on pricing, products and operations,\u201d<\/span> said<\/span><\/a> Sanjay Mehrotra, MU\u2019s President and CEO. \u201cOur preeminent product portfolio positions us well to deliver a strong fiscal second half of 2024. We believe Micron is one of the biggest beneficiaries in the semiconductor industry of the multi-year opportunity enabled by AI.\u201d<\/span><\/p>\n

For the third quarter of 2024, the company expects revenue of $6.60 million \u00b1 $200 million, and its gross margin is projected to be 26.5% \u00b1 1.5%. Also, Micron expects its non-GAAP earnings per share to be $0.45 \u00b1 0.07.<\/span><\/p>\n

Bottom Line<\/b><\/p>\n

MU is strategically positioned to benefit from the burgeoning AI market, driven by its diversified portfolio of advanced memory and storage solutions, strategic partnerships and investments, robust financial health characterized by solid revenue growth and profitability, and expanding market presence.<\/span><\/p>\n

The company\u2019s recent innovations, including HBM3E and DDR5 RDIMM memory, underscore the commitment to advancing its capabilities across AI and high-performance computing applications.<\/span><\/p>\n

Moreover, the company\u2019s second-quarter 2024 earnings beat analysts' expectations, supported by the AI boom. Also, Micron offered a rosy guidance for the third quarter of fiscal 2024. Investors eagerly await insights into MU\u2019s financial performance, strategic updates, and outlook during the third-quarter <\/span>earnings conference call scheduled for June 26, 2024<\/span><\/a>.<\/span><\/p>\n

Braid Senior Research Analyst Tristan Gerra <\/span>upgraded MU stock from \u201cNeutral\u201d to \u201cOutperform\u201d<\/span><\/a> and increased the price target from $115 to $150, citing that the company has meaningful upside opportunities. Gerra stated that DRAM chip pricing has been rising while supply is anticipated to slow. Also, Morgan Stanley <\/span>raised their outlook for Micron<\/span><\/a> from \u201cUnderweight\u201d to \u201cEqual-Weight.\u201d<\/span><\/p>\n

As AI investments from numerous sectors continue to grow, Micron stands to capture significant market share, making it an attractive option for investors seeking long-term growth in the semiconductor sector.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Artificial Intelligence (AI) continues revolutionizing industries worldwide, including healthcare, retail, finance, automotive, manufacturing, and logistics, driving demand for advanced technology and infrastructure. Among the companies set to benefit significantly from this AI boom is Micron Technology, Inc. (MU), a prominent manufacturer of memory and storage solutions. MU\u2019s shares have surged more than 70% over the […]<\/p>\n","protected":false},"author":41,"featured_media":58621,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[34145,32228,32172,32089,9516,34347,34346,34353,34351,34126,32229,32090,32092,34355,31686,32091,34354,32033,31933,34352,34344,32433,34350,34349,34345,34348],"class_list":["post-59491","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","tag-34145","tag-advanced-micro-devices","tag-alphabet-inc-googl","tag-amazon-com","tag-apple-inc-aapl","tag-deployment-on-the-4th-and-5th-gen-intel-xeon-platforms","tag-earnings-conference-call-scheduled-for-june-26","tag-exceed-1-81-trillion-by-2030","tag-hbm2e","tag-hewlett-packard-enterprise-company-hpe","tag-inc-amd","tag-inc-amzn","tag-inc-meta","tag-inc-mu","tag-intel-corporation-intc","tag-meta-platforms","tag-micron-technology","tag-microsoft-corporation-msft","tag-nvidia-corporation-nvda","tag-over-40-billion-for-investments-in-ai-related-initiatives","tag-raised-their-outlook-for-micron","tag-said","tag-sampling-its-next-generation-gddr7-graphics-memory","tag-ship-128gb-ddr5-32gb-server-dram","tag-upgraded-mu-stock-from-neutral-to-outperform","tag-will-be-part-of-nvidia-h200-tensor-core-gpus"],"yoast_head":"\nHow Micron Technology Is Poised to Benefit from AI Investments - INO.com Trader's Blog<\/title>\n<meta name=\"description\" content=\"Micron Technology (MU), known for innovative memory and storage solutions, is one of the primary beneficiaries in the semiconductor industry of the multi-year opportunity enabled by AI. 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