Broadcom vs. AMD vs. Nvidia: Three Different AI Chip Strategies, Three Very Different Valuations. Here's the Metric That Explains the Gap.

The market values Broadcom (NASDAQ: AVGO), Advanced Micro Devices (NASDAQ: AMD), and Nvidia (NASDAQ: NVDA) differently because it sees them playing distinct roles in the AI stack. The single metric that captures that difference is how much each company owns the AI system, not only the chip, which you can think of as their "AI system control share."

The metric: AI system control share

To me, AI system control share is the portion of AI revenue a company earns from selling full platforms, including hardware, software, and reference architectures, rather than just individual AI components. Basically, the company that sells the whole pizza, and not just the cheese, pepperoni, or bread. When a cloud provider or enterprise decides to build an AI cluster, this metric asks a simple question: whose architecture defines the system?

Image source: Getty Images.

A company with high AI system control shares shapes the design, chooses most of the parts, owns the software layer, and captures a large slice of the total budget. A company with low system control shares sells important pieces, yet fits into someone else's blueprint. Let's get into some AI tickers.

Nvidia: highest system control share

Nvidia scores highest on this metric. Its data center business produced more than $80 billion in revenue in the first half of fiscal 2026, and data centers now account for over 90% of total sales. Those dollars don't come from bare chips alone. Nvidia sells full racks like GB200 NVL72, complete DGX systems, networking, and the CUDA software platform that runs on top.

When a hyperscaler or large enterprise scopes out a new AI cluster, it often starts with Nvidia's reference design and toolchain, then builds the rest of the system around it. That position gives Nvidia a very high share of AI system control. It influences model deployment, developer choices, and even how data centers are wired. The market pays a premium for that kind of control because it supports strong pricing, high margins, and long hardware and software upgrade cycles.

Broadcom: deep in the stack, low system control

Broadcom sits at the other end of the spectrum. It designs custom AI accelerators and high-speed switches for hyperscalers and has emerged as the dominant co-designer of AI ASICs. Broadcom reported about $8.4 billion in AI semiconductor revenue for its first quarter of fiscal 2026, up 106% year over year, and carries a disclosed AI chip backlog of nearly $73 billion with a target of $100 billion in AI revenue in 2027.

Those achievements matter. Yet the chips themselves carry other brands. They power Alphabet TPUs, Meta Platforms accelerators, and OpenAI clusters, all under the customer's name. Broadcom defines block diagrams and power envelopes, yet the customer controls the overall system and owns the software and higher-level architecture. That gives Broadcom strong, contract-backed revenue, but a lower AI system control share.

AMD: climbing toward system control

AMD lives between these two positions. Its Instinct MI350 series and upcoming MI400 generation go right after Nvidia in data center GPUs, with features like 288 gigabytes of HBM3e and 8 terabytes per second of bandwidth that appeal to memory-bound large language models. AMD pairs those accelerators with EPYC CPUs and Pensando networking in the Helios rack-scale design, a full system blueprint that customers can adopt.

At the same time, AMD pushes an open software stack through ROCm and works with big cloud providers. That combination raises its AI system control share. AMD no longer supplies only stand-alone GPUs. It offers a platform that can define some deployments, especially when buyers prioritize cost per token, memory capacity, and power limits.

Still, in my opinion, Nvidia controls most of the ecosystem, and many customers treat AMD as an alternative rather than the default.

How the metric explains valuations

Nvidia's high share of AI system control means it captures a large share of AI budgets per deployment, including through software lock-in and long-lived platform relationships. Market prices are set on a premium platform. Broadcom's lower system control share still supports strong growth, yet it remains dependent on a concentrated set of hyperscaler customers and faces greater margin pressure on custom projects. AMD sits in the middle, offering upside if it can convert competitive hardware and improve software into more full system wins.

The safe buy for me is still Nvidia.

Micah Zimmerman has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Broadcom, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.