2 AI Stocks That Survived the March Sell-Off — and Look Stronger Because of It

The March sell-off hit even the hottest areas of technology. However, not every tech stock was down for the month, and one pair of stocks in particular stood out as not only surviving the sell-off but coming out looking even stronger.

That pair is Arm Holdings (NASDAQ: ARM) and Advanced Micro Devices (NASDAQ: AMD), whose stocks both rose in March. The artificial intelligence (AI) infrastructure market looks poised to begin its next megatrend, and these two companies are the best positioned to take advantage. While graphics processing units (GPUs) have been the dominant chips used to train large language models (LLMs) and run AI inference, the emergence of agentic AI is about to flip the AI data center on its head.

Will AI create the world’s first trillionaire? Our team just released a report on the one little-known company, called an “Indispensable Monopoly” providing the critical technology Nvidia and Intel both need. Continue »

Image source: Getty Images.

If it seems like every incumbent software-as-a-service (SaaS) company and AI upstart is starting to chase agentic AI, it’s because most are. This is the next big evolution in tech, and they won’t be powered by GPUs but instead high-performance central processing units (CPUs).

AI agents require a different computing architecture from LLM training, as they need to be able to make sequential decisions and act independently. GPUs were built for pure power, not reasoning, which is where CPUs come in. CPUs act sort of like a project manager and are good at things such as calling tools (like APIs), memory management, and directing traffic.

With an expected explosion of AI agents in the coming years, AI data centers are not just going to need a boatload of GPUs, they are also now going to need a ton of CPUs as well. That is where Arm and AMD come in.

Arm Holdings has long been one of the leading intellectual property (IP) providers for the semiconductor industry. The company’s technology is in nearly every smartphone, and its IP was heavily used in Nvidia‘s Grace-Hopper platform. However, with Nvidia moving more of its tech in-house with its Vera Rubin platform, Arm announced last month that it would design its own CPU chips, which received widespread applause from the market.

The UK-based company has always been known for its power efficiency and high core counts, which play right into what is needed for agentic AI. Power usage is obviously a big consideration with AI, while core counts determine how many tasks a CPU can handle at once.

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