Sunday, December 22, 2024

Micron Technology, Inc. (MU): Citi Analyst Recommends Buy as Semiconductor Selloff Nears Completion, Market Recovery Expected in 2025

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We recently compiled a list of the 10 AI Headlines Making Waves Today. In this article, we are going to take a look at where Micron Technology, Inc. (NASDAQ:MU) stands against the other AI stocks that are making waves.

According to the “Hyperscale Data Centers – Global Strategic Business Report”, the global market for hyperscale data centers is estimated to reach US$730.2 Billion by 2030, growing at a CAGR of 23.1% from 2023 to 2030. From the increasing adoption of cloud services to the rise of big data and artificial intelligence, several factors are at play when it comes to its rapid growth. As per the report, the biggest driver is cloud computing, with more and more companies migrating their workloads to the cloud to reduce costs, improve scalability, and enhance flexibility.

READ ALSO: 10 Trending AI Stocks on Latest Analyst Ratings and News and 8 Best Information Technology Services Stocks to Invest in Now

These hyperscalers need a lot of energy to run their data centers around the clock. According to McKinsey & Company, data center power needs are expected to grow three times higher than the current capacity by the end of the decade, from between 3 and 4 percent of total US power demand today to between 11 and 12 percent in 2030. Naturally, the power sector has become a significant AI player. Several technology companies are looking at nuclear power, including the use of small modular reactors (SMR), to meet their electricity needs.

“Driven by recent trends in AI development, projected power consumption by data centers in the U.S. is expected to increase in the range from 8% to 17% by 2030—or potentially even higher, as progress in AI technologies is not linear but exponential, as seen in Silicon Valley today”.

As the demand for advanced computing power grows, the latest AI breakthroughs are reshaping industries and driving innovation at an unprecedented pace. Then again, nothing is perfect. A few days back, OpenAI’s premier chatbot, ChatGPT, went down for a total of 30 minutes. According to an outage tracking website Downdetector, over 19,000 people were impacted due to the chatbot’s unavailability. Sam Altman, the CEO, admitted to the outage on X and apologized.

The same company is said to be hitting stumbling blocks recently. That’s because, according to Bloomberg, its latest model Orion hasn’t been performing as well as the developers had hoped for. OpenAI, however, isn’t the only company seemingly facing a plateau. Three leading AI companies are now seeing diminishing returns from their costly efforts to build newer models.

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