What Are the 3 Top Artificial Intelligence (AI) Stocks to Buy Right Now?

The biggest driving force in the market remains artificial intelligence (AI), which is why now may be a great time to acquire shares in some of the biggest companies in the industry. Let’s look at three AI stocks to buy now.

Nvidia

The AI ​​infrastructure boom shows no signs of slowing down, as evidenced by Semiconductor manufacturing in Taiwan making the decision to significantly increase its capital spending this year. Manufacturing plants (chip manufacturing plants) must operate near full capacity to be profitable. This measure was therefore not taken lightly. The foundry (known as TSMC) needed proof that demand for AI chips wasn’t a passing fad, and it was confident that demand is here to stay.

This is excellent news for Nvidia (NVDA +1.60%)which is a big customer of TSMC. Its graphics processing units (GPUs) are the main chips used to run AI workloads, and its main manufacturing partner just reported that demand for AI infrastructure is poised to become a long-term secular trend. With approximately 90% market share in GPUs, Nvidia continues to be one of the companies best positioned to benefit from the continued construction of AI data centers.

Broadcom

Although Nvidia’s dominance in AI infrastructure is undeniable, Broadcom (AVGO 1.67%) is also making great strides in helping hyperscalers (owners of large data centers) build custom AI chips to handle some of their AI workloads. The company is a leader in the field of ASICs (application-specific integrated circuits), providing the building blocks that enable customer designs to become physical chips that can be manufactured at scale.

ASICs are pre-programmed chips that lack the adaptability of GPUs, but they tend to provide good performance for the tasks they are designed for and are more power efficient. This becomes increasingly important with AI inference, which represents an ongoing cost.

Broadcom helped Alphabet develop its high-performance tensor processing units (TPUs), and it should benefit from increased TPU deployments as Alphabet begins allowing large customers to order the custom chips for deployment through Google Cloud. Anthropic has already placed a $21 billion order with Broadcom for TPUs to be delivered this year.

Several other companies are working with Broadcom to design their own custom AI chips, including OpenAI. Citi Group analysts predict that Broadcom’s AI revenue could quintuple over the next two years, from just over $20 billion in the last fiscal year to $100 billion. That’s huge considering the company just reported revenue of just under $64 billion for fiscal 2025.

Micron technology

For GPUs and AI ASICs to perform optimally, they need high-bandwidth memory (HBM), a specialized form of dynamic random access memory (DRAM) that stores data and helps AI chips retrieve and transmit it quickly. Since training and inference of AI models is all about speed and HBM helps improve processing speeds, demand is exploding. The move to agentic AI, where AI agents must make decisions in real time, only makes HBM more important.

This is a huge boon for Micron technology (UM +0.52%)which is one of the three big DRAM manufacturers with Samsung And SK Hynix. HBM is much more complex to manufacture than traditional DRAM and requires three to four times the wafer capacity. However, the unit’s economic situation is much better, leading these companies to focus their production on HBMs, causing a shortage of supply in the entire DRAM market.

This leads to skyrocketing memory prices and stock shortages in advance. As Micron works to increase HBM’s capacity, the supply and demand situation will likely remain extremely favorable for quite a long time, making it one of the top AI stocks to own over the coming years.