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Home.forex news reportMeet My Top 5 Artificial Intelligence (AI) Stocks for 2026

Meet My Top 5 Artificial Intelligence (AI) Stocks for 2026

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  • AMD is battling to gain some ground on Nvidia in the GPU space.

  • Alphabet’s TPUs, which it designed in partnership with Broadcom, could become the market’s next hot computing units.

  • All of these companies source most of their most powerful chips from Taiwan Semiconductor.

  • 10 stocks we like better than Nvidia ›

2023, 2024, and 2025 have all been great years to invest in the artificial intelligence (AI) realm. With 2025 nearly over, the question becomes: Will 2026 hold more of the same? The concerns about whether the vast sums of money being spent to build out AI computing capacity are going to pay off are intensifying. Investors are starting to clamor for real returns on those investments, and there haven’t been any to date.

That hasn’t stopped the AI hyperscalers from continuing to add massive amounts of computing power to their footprints. In 2025, the hyperscalers set records for capital expenditures, and most of that money went toward data centers. All of them also are guiding for even greater capex in 2026.

While investors may see some risks in the amount of money being spent on artificial intelligence infrastructure, there are several ways for them to profit from the trend.

Engineer overlooking a data center.
Image source: Getty Images.

Chip designers such as Nvidia (NASDAQ: NVDA) and AMD (NASDAQ: AMD), which are supplying high-end processors to power AI, have been among the top stock choices in the sector. These two make graphics processing units (GPUs), which excel in handling AI workloads rapidly due to their ability to break down certain types of complex calculations into many smaller ones and handle those pieces in parallel.

Nvidia has been the leading AI stock ever since the infrastructure spending surge began in early 2023, and the success of its best-in-class technology stack has turned it into the largest company in the world.

AMD was playing second fiddle to Nvidia before the AI megatrend took off, and it still is. Certainly it hasn’t had nearly the same level of success with its wares. But the tide could be shifting as its offerings are becoming more competitive, and AI hyperscalers are hunting more earnestly for cheaper alternatives to Nvidia’s chips. If the AI hyperscalers decide they want to be more budget-conscious on the infrastructure front, they could spend less money for the same amount of computing power, or the same amount of money for more, by switching to AMD’s chips.

That’s one reason why AMD’s products could become more popular in the coming years, and management recently informed investors that they anticipate a 60% compound annual growth rate for data center revenue over the next five years.



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