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Micron Technology, Inc. (MU) Ships Industry-First 1γ DRAM to Power AI and Data Centers

We recently compiled a list of the 18 AI News and Ratings Making Waves on Wall Street. In this article, we are going to take a look at where Micron Technology, Inc. (NASDAQ:MU) stands against the other AI stocks.

In a recent discussion at CNBC’s ‘Squawk on the Street’, NYU professor and AI expert, Gary Marcus shared his perspective on the limitations of current AI models, the hurdles in enterprise adoption, and the financial sustainability of major AI companies. His insights raise important questions about the future of AI and whether it can truly deliver on its ambitious promises.

AI’s Future Faces Hurdles in Reliability, Costs, and Enterprise Use

Gary Marcus challenged the idea that AI will significantly boost GDP growth in the near future, as suggested by Microsoft CEO Satya Nadella. While Nadella sees AI driving efficiency and benefiting multiple platforms, Marcus argued that the current technology remains unreliable, with persistent hallucinations and logical errors that have yet to be resolved. Despite advancements like Grok 3, which underwent extensive training and required large-scale infrastructure, the fundamental problems of AI accuracy are still there.

He expressed skepticism about AI’s readiness for enterprise adoption and noted that while models may appear impressive, they still make subtle but costly mistakes, which undermine their reliability. He highlighted examples where AI-generated outputs contained factual errors that could go unnoticed at first but would pose risks for businesses relying on accuracy. Marcus also critiqued AI’s so-called “reasoning” abilities, arguing that they rely more on pattern recognition from training data than true logical reasoning, limiting their real-world applicability.

Additionally, he warned that generative AI is increasingly shifting toward data collection and surveillance as a business model. He pointed toward government monitoring programs and OpenAI’s access to vast amounts of personal and business data, suggesting that AI companies may monetize data rather than achieve widespread enterprise integration due to reliability concerns.

While OpenAI is experiencing rapid user growth and generating billions in revenue, Marcus pointed out its high operational costs and continued financial losses. He argued that, unlike traditional software companies, AI firms face significant expenses in building and running models, making long-term profitability uncertain despite their rising valuations.

For this article, we selected AI stocks by reviewing news articles, stock analysis, and press releases. We listed the stocks in ascending order of their hedge fund sentiment taken from Insider Monkey’s Q4 database of over 1000 hedge funds.

At Insider Monkey we are obsessed with the stocks that hedge funds pile into. The reason is simple: our research has shown that we can outperform the market by imitating the top stock picks of the best hedge funds. Our quarterly newsletter’s strategy selects 14 small-cap and large-cap stocks every quarter and has returned 373.4% since May 2014, beating its benchmark by 218 percentage points (see more details here).

A close-up view of a computer motherboard with integrated semiconductor chips.

Micron Technology, Inc. (NASDAQ:MU)

Number of Hedge Fund Holders: 94

Micron Technology, Inc. (NASDAQ:MU) develops and sells memory and storage products for data centers, mobile devices, automotive, and other industries worldwide.

On February 25, Micron Technology, Inc. (NASDAQ:MU) announced that it is the first to ship samples of its 1γ (1-gamma) DRAM, a sixth-generation 10nm-class DDR5 memory, to partners and select customers. The advancement builds on its previous DRAM nodes and aims to support AI applications across data centers, consumer devices, and Edge AI. The new DRAM offers up to 9200MT/s speeds, a 15% performance boost, and over 20% power savings. Using high-K metal gate technology and EUV lithography, it improves efficiency, bit density, and manufacturing scalability. Micron (NASDAQ:MU) plans to integrate 1γ DRAM across its portfolio to performance in AI PCs, mobile devices, automotive applications, and data centers.

Overall MU ranks 1st on our list of the AI stocks that are making waves on Wall Street. While we acknowledge the potential of MU as an investment, our conviction lies in the belief that AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than MU but that trades at less than 5 times its earnings, check out our report about the cheapest AI stock.

READ NEXT: 20 Best AI Stocks To Buy Now and Complete List of 59 AI Companies Under $2 Billion in Market Cap

Disclosure: None. This article is originally published at Insider Monkey.

AI Fire Sale: Insider Monkey’s #1 AI Stock Pick Is On A Steep Discount

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A New Dawn is Coming to U.S. Stocks

I work for one of the largest independent financial publishers in the world – representing over 1 million people in 148 countries.

We’re independently funding today’s broadcast to address something on the mind of every investor in America right now…

Should I put my money in Artificial Intelligence?

Here to answer that for us… and give away his No. 1 free AI recommendation… is 50-year Wall Street titan, Marc Chaikin.

Marc’s been a trader, stockbroker, and analyst. He was the head of the options department at a major brokerage firm and is a sought-after expert for CNBC, Fox Business, Barron’s, and Yahoo! Finance…

But what Marc’s most known for is his award-winning stock-rating system. Which determines whether a stock could shoot sky-high in the next three to six months… or come crashing down.

That’s why Marc’s work appears in every Bloomberg and Reuters terminal on the planet…

And is still used by hundreds of banks, hedge funds, and brokerages to track the billions of dollars flowing in and out of stocks each day.

He’s used this system to survive nine bear markets… create three new indices for the Nasdaq… and even predict the brutal bear market of 2022, 90 days in advance.

Click to continue reading…