Broadcom Targets $115 Billion in AI Revenue by 2027
The semiconductor giant is scaling custom AI silicon for hyperscalers as Wall Street maintains a 'Strong Buy' rating.
Broadcom is rapidly scaling its artificial intelligence infrastructure business, positioning itself as a critical pillar of the AI hardware ecosystem. The company's aggressive growth in custom semiconductors has led Wall Street analysts to maintain a 'Strong Buy' rating on the stock.
Financial results from the second quarter of fiscal 2026 highlight the scale of this expansion. Broadcom reported AI semiconductor revenue of $10.8 billion, marking a 143% increase compared to the same period last year. This surge is driven by the company's focus on high-end data center networking and AI and deep-learning application-specific integrated circuits (ASICs).
The Shift to Custom Silicon
Broadcom is strategically positioning itself as a primary alternative to Nvidia by focusing on custom chip design rather than general-purpose GPUs. To support this, the company has secured multi-year agreements with major hyperscalers, including Meta, Google, OpenAI, and Anthropic. These partnerships allow Broadcom to integrate its networking expertise with tailored silicon that meets the specific architectural needs of the world's largest AI model developers.
Market Implications
This trajectory signals a fundamental shift in how hyperscalers allocate capital. The transition from relying solely on off-the-shelf GPUs toward custom AI silicon suggests that the industry is entering a phase of optimization, where efficiency and specialized hardware are prioritized over general-purpose compute. By diversifying the hardware market, Broadcom is reducing the industry's systemic reliance on a single provider while cementing the role of networking as a bottleneck that only high-end semiconductor firms can solve.
Future Projections
Management has set an ambitious roadmap for the coming years. Broadcom has raised its AI semiconductor revenue target for fiscal 2027 to approximately $115 billion. Looking further ahead, CEO Hock Tan has projected that AI semiconductor revenue could reach approximately $230 billion by fiscal 2028. Investors will be watching to see if the current pace of hyperscaler spending can sustain this exponential growth curve over the next 24 months. This aggressive scaling reflects a broader industry bet that the demand for specialized AI compute will continue to outpace the available supply of general-purpose hardware.