Takeaways NEW
- Micron Technology plans to purchase factories to expand its services.
- Regulatory challenges and a shortage of skilled workers are affecting the AI industry.
The AI industry has recently showcased explosive potential in the development and implementation of AI infrastructures. Companies offering AI chips, cloud services, and data storage solutions are benefiting from the growing demand for AI capabilities. A notable example is NVIDIA, whose stock price increased by an impressive 160% in 2024, driven by the rising need for powerful computing performance in AI applications. Similarly, cloud service providers like Amazon Web Services and Microsoft Azure are experiencing increased demand for their AI and machine learning offerings, making them attractive investment options.
However, the hype around new technologies also brings risks. Investors should be aware of the increasing regulatory oversight of AI companies, particularly concerning data privacy, algorithmic bias, and the ethical use of AI. Governments worldwide are beginning to implement regulations that could impact the development and deployment of AI technologies. An example is the European Union's AI Act, which aims to create a legal framework addressing AI-related risks while promoting innovation. This regulatory environment could lead to higher compliance costs and slower adoption rates in certain sectors, posing a potential risk for investors.
Another critical aspect is the talent shortage in the AI industry. The demand for skilled AI experts far exceeds the supply, leading to intense competition for top talent. This talent gap could slow down the development and deployment of AI technologies, especially for smaller companies that may not have the resources to compete with tech giants like Google and Microsoft for talent. Despite these challenges, the overall outlook for the AI industry remains highly positive. The continuous advancements in AI technology and its increasing integration into various sectors provide a strong foundation for future growth.
Methodology: The selection of AI stocks discussed in this article is based on the latest news and analyst ratings. These stocks are also popular among hedge funds. Our research has shown that we can outperform the market by mimicking the top stock picks of the best hedge funds. Our quarterly strategy selects 14 small-cap and large-cap stocks and has delivered a return of 275% since May 2014, outperforming the benchmark by 150 percentage points.
Micron Technology (NASDAQ:MU), a manufacturer and seller of memory and storage products, is reportedly planning to purchase two factories from Taiwanese company AUO in a deal that could be worth up to $620 million. These facilities are expected to be used to expand services for packaging and testing integrated circuits as well as the production of high-bandwidth memory. This move comes amid rising AI expenditures, as the demand for AI data centers utilizing Micron’s memory products increases.
Due to the cautious commentary on bit delivery in the last quarterly report, Micron is viewed with caution on Wall Street. Needham rates the stock with a buy rating and a price target of $140. Overall, Micron Technology ranks 11th on our list of the most trending AI stocks.
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