Alphabet or Micron: Top Investor Chooses the Elite AI Stock to Buy

Alphabet (NASDAQ:GOOGL) and Micron (NASDAQ:MU) have both emerged as prominent names in the AI trade, though they are benefiting from very different parts of the ecosystem.

GOOGL stock has gained more than 138% over the past year as investors warmed to accelerating cloud growth and the expanding role of the company’s Gemini AI platform across search, enterprise software, and consumer products.

Meanwhile, MU shares have delivered an even steeper rally, climbing 635% over the past year, as hyperscalers raced to secure high-bandwidth memory chips needed for AI servers, leaving demand far ahead of available supply.

Chris Neiger, an investor who ranks among the top 1% of stock pros on TipRanks, thinks both companies deserve a place in your portfolio, but which one has the stronger long-term upside from AI over the coming years?

Looking at Micron’s case, it makes memory chips used in everything from smartphones and PCs to data center servers powering AI systems. As major tech companies ramp up AI spending, demand for these chips has surged, with roughly $750 billion expected to be invested in AI infrastructure this year alone across a handful of large players. This wave of data center expansion has tightened supply and strengthened Micron’s pricing power.

That demand surge has driven very strong results, including a 196% revenue increase to nearly $24 billion in its fiscal second quarter and a 682% jump in adjusted EPS to $12.20. The company also sees more upside from emerging areas like robotics and the growing need for more memory in devices built for agentic AI capabilities.

However, Micron operates in a historically cyclical industry. When prices rise, companies expand production, but new capacity takes time to come online. This often leads to oversupply later, which pressures pricing and profits. The AI-driven cycle could follow a similar boom-and-bust pattern over time.

“That doesn’t mean Micron stock isn’t worth owning,” the 5-star investor said, “it just means that limited supply, combined with the high demand driven by a massive uptick in data center construction, has created a perfect business environment for the company. While no one knows how long it will last, the short answer is ‘not forever.’”

Alphabet’s AI strategy, on the other hand, is based on “multiple AI bets,” with several initiatives already showing strong momentum.

At the core is its Gemini AI model. It has around 750 million monthly active users, is being integrated across Google services, including Workspace, Android, and other products, and is increasingly central to Alphabet’s long-term AI strategy. It is also expanding beyond Alphabet’s ecosystem, with Apple reportedly planning to use Gemini to power a future version of Siri in a deal worth about $1 billion per year.

Google Cloud is another key driver, with revenue rising 63% year-over-year in Q1 to over $20 billion, largely driven by demand for enterprise AI services. Usage of Gemini Enterprise has also increased significantly, underscoring growing adoption among business customers.

To support this expansion, Alphabet plans up to $185 billion in capital spending this year, mainly on data centers, and continues to develop its own AI chips (TPUs), giving it exposure across the full AI stack – from hardware to models to applications.

Overall, Alphabet’s approach spans multiple layers of the AI ecosystem, which Neiger thinks positions it for sustained long-term growth, whereas Micron’s gains are more closely tied to cyclical supply-demand imbalances in the memory market.

“Micron is still a great AI play,” Neiger summed up, “but if I had to pick the best AI stock right now (and down the line), I’d put my money on Alphabet.” (To watch Neiger’s track record, click here)

The Street’s analysts are also big GOOGL fans, with the stock claiming a Strong Buy consensus rating, based on a mix of 28 Buys and 5 Holds. (See GOOGL stock forecast)

Disclaimer: The opinions expressed in this article are solely those of the featured analyst. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.