Not Nvidia, Not AMD. Broadcom's Custom Silicon Business Is Quietly Becoming an AI Chip Powerhouse

Broadcom is carving out a lucrative position in AI semiconductors through custom ASICs, with the company projecting AI revenue of $58 billion in fiscal 2026 and $230 billion by fiscal 2028. The custom chips deliver inference cost savings of 40-60% versus traditional GPUs, a margin advantage that has attracted hyperscalers including Google, Meta, OpenAI, and Anthropic.

AVGO trades at 19x forward earnings, a discount to NVDA's 25x and AMD's 39x multiples, despite the accelerating revenue trajectory in AI workloads. The custom silicon strategy targets inference optimization rather than competing head-to-head in the training chip market dominated by NVDA.

The company's ASIC business positions it as a direct beneficiary of the shift toward cost-efficient inference as AI models scale into production. Major cloud providers are deploying Broadcom-designed chips to reduce the total cost of ownership for large language model inference, a workload that consumes significantly more compute resources than training over a model's lifetime.