• Sun. Apr 19th, 2026

Christina Antonelli

Connecting the World, Technology in Time

This Artificial Intelligence (AI) Stock Could Be the Next $2 Trillion Giant

This Artificial Intelligence (AI) Stock Could Be the Next  Trillion Giant

The artificial intelligence (AI) megatrend has lifted several companies to values above the trillion-dollar mark. The most prominent is Nvidia (NASDAQ: NVDA), but another one investors should keep an eye on is Broadcom (NASDAQ: AVGO) — a rising star thanks to its custom AI accelerator chips.

These products have a relatively small customer base now, but could see more adoption in the years to come. This could allow Broadcom to cut into Nvidia’s market share dominance and allow it to grow at a quicker pace. Broadcom is currently valued at around $1.7 trillion, making a $2 trillion valuation easily within reach. In fact, I think Broadcom could easily grow to that level next year if it continues to capture market share at its current pace. And that could just be the beginning.

Person looking at a rising stock chart, which is reflected in their glasses.
Image source: Getty Images.

Broadcom isn’t solely focused on AI, or even on computing hardware. It has a sprawling business that ranges from virtual desktop software (via its acquisition of VMware in late 2023), mainframe hardware and software, and cybersecurity. In fact, its AI revenue was $5.2 billion during its fiscal 2025 third quarter, which ended Aug. 3, compared to $16 billion in revenue overall. However, Broadcom’s AI revenue is rapidly growing, and it recently got another boost.

Broadcom’s AI revenue comes from two categories of hardware: connectivity switches and custom AI accelerators. The connectivity switches help data centers stitch information back together after it has been processed across multiple computing units. These are important devices and are already in widespread use, but the value of that market pales in comparison to what custom AI accelerators, which Broadcom calls XPUs, could be worth for the company.

Broadcom designs its XPUs in collaboration with the end user that’s buying them, tailoring their designs to suit the workloads that they will see. This is a major advantage compared to graphics processing units (GPUs). Nvidia and its peers design those processors along more general-purpose lines, so GPUs are more flexible overall. However, when a GPU is only destined to see one type of workload over its lifespan, this flexibility is a wasted expense. In the early days of the artificial intelligence trend, companies didn’t know what their workloads were going to look like, which made Nvidia’s GPUs the best product to go with. Now that workloads are more established, demand for Broadcom’s XPUs could increase significantly over the next few years.

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