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This Artificial Intelligence (AI) Stock Has Quietly Outperformed Nvidia All Year

  • Increasing adoption of custom AI accelerators and AI-optimized networking hardware is proving to be a key growth catalyst for Broadcom.

  • VMware Cloud Foundation is giving Broadcom’s clients a practical and secure alternative to public cloud.

  • Broadcom’s record backlog gives it significant revenue visibility for the coming quarters.

  • 10 stocks we like better than Broadcom ›

Nvidia remains the most talked-about artificial intelligence (AI) stock on Wall Street, but another semiconductor leader has actually delivered stronger gains this year.

Broadcom (NASDAQ: AVGO), best known for its diversified portfolio comprising custom AI chips, Ethernet networking, and an enterprise software business, has been one of the strongest-performing AI stocks in 2025. Broadcom’s shares are up roughly 32% to date, compared with Nvidia’s 27.8%.

Here’s why Broadcom has been outperforming Nvidia in 2025.

Image source: Getty Images.

Broadcom has delivered stellar results in the third quarter of fiscal 2025 (ended Aug. 3). The company’s revenues soared 22% year over year to nearly $15.9 billion, with AI semiconductor sales (custom AI accelerators, AI networking chips, and other AI-related silicon) rising 63% year over year to $5.2 billion.

Management expects the momentum to continue, with AI semiconductor revenues projected to soar 66% year over year to $6.2 billion in the fourth quarter. The company has also guided for the company’s total revenues to surge 24% year over year to $17.4 billion in the fourth quarter.

These targets are easily achievable, considering that the company has a record $110 billion consolidated backlog, driven mainly by demand from the AI market. Thus, the company enjoys significant revenue visibility for the coming quarters.

Not surprisingly, custom AI accelerators, known as XPUs, are powering much of that growth. These chips now account for approximately 65% of Broadcom’s AI revenue, supported by the demand from three major hyperscale clients who are rapidly scaling their AI infrastructure.

In the third quarter, the company also secured another major hyperscaler client that placed orders for AI racks based on XPUs worth more than $10 billion.

With demand accelerating, management expects AI revenue growth in fiscal 2026 to be faster than that seen in fiscal 2025.

Networking demand is also growing at a breathtaking pace. As AI clusters continue to grow larger, demand for Ethernet switches and fabric routers to connect GPUs or XPUs within racks, out across racks, and even across entire data centers has been on the rise.

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