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Special Report
Broadcom Hits $2 Trillion Market Cap as Google Reveals New AI ChipsWritten by Leo Miller. Originally Published: 4/28/2026. 
Key Points
- Broadcom's market capitalization momentarily rose above $2 trillion, driven up by a recent announcement from Google.
- Google's next-generation TPU includes two separate chips, confirming past statements made by Broadcom.
- See the benefits that two-chip deployments can bring to the semiconductor giant.
- Special Report: Elon’s “Hidden” Company
As Broadcom (NASDAQ: AVGO) has surged to new all-time highs, the firm has a key partner to thank: Google parent company Alphabet (NASDAQ: GOOGL). On April 22, the semiconductor giant closed at a then-record near $422. That day Broadcom briefly eclipsed a $2 trillion market capitalization.
The move followed a new artificial intelligence (AI) chip announcement from Google, Broadcom’s top customer. The stock rose about 5% that day, though shares have since retreated slightly. Google’s announcement validates Broadcom’s prior forecasts and suggests the partnership between the two companies is deepening. Google’s 8th Gen TPU: 2 Chips Instead of 1Google and Broadcom have co-developed tensor processing units (TPUs) for roughly a decade. Google recently unveiled the eighth generation of its TPU—but with an important distinction. TPU 8 will consist of two chips instead of one, each optimized for different use cases, according to Google. That departs from most prior TPU generations, which generally used a single chip. Google calls TPU 8t a “training powerhouse,” while TPU 8i is described as a “reasoning engine” for the most latency-sensitive inference workloads. The announcement closely matches comments Broadcom CEO Hock Tan made on the company’s last earnings call, when he said customers would “start to develop two chips each year simultaneously, one for training, one for inference to be specialized.” Those remarks, made in early March, represent a meaningful validation for Broadcom. Why Google’s 2-Chip Roadmap Benefits BroadcomSplitting the eighth-generation TPU into two specialized chips should benefit Broadcom as AI adoption grows. Much of AI-driven demand comes from inference—models answering questions and performing tasks—and a dedicated inference chip like TPU 8i lets Google scale those workloads more efficiently. Google says TPU 8i delivers roughly 80% better performance per dollar compared with the seventh-generation TPU, enabling businesses to serve nearly twice the inference volume at the same cost. Lower inference costs should boost demand for inference capacity, which in turn increases demand for the chips themselves—a clear positive for Broadcom. Moving to two specialized chips also increases the value of Broadcom’s hardware expertise. Single-chip deployments rely more on software optimization to squeeze performance from general-purpose designs, but software gains are typically smaller than those achievable through hardware-level optimization. By designing distinct chips for training and inference, Google is embracing hardware specialization—Broadcom’s core strength—which could allow Broadcom to capture more value per chip. Developing two chips also requires more engineering effort than building one, creating an additional revenue opportunity for Broadcom through design and integration work. Google’s move is another data point backing Hock Tan’s view. Meta Platforms (NASDAQ: META) announced a similar custom-chip roadmap in mid-March, titled “Four MTIA [Meta Training and Inference Accelerator] Chips in Two Years: Scaling AI Experiences for Billions.” Both the Google and Meta roadmaps align with the two-chips-per-year framework and lend credibility to Broadcom’s thesis. Crucially, Broadcom says it sees these two-chip-a-year roadmaps across five customers. With Google and Meta confirmed, confidence that the remaining hyperscaler customers will follow suit increases, potentially extending the benefits discussed here across Broadcom’s broader customer base. Broadcom Soars as Hyperscaler Earnings ApproachOverall, customers appear to be deepening their relationships with Broadcom. As investors recognize Broadcom’s growing importance in the AI buildout, shares have reached unprecedented levels. Meanwhile, Broadcom currently trades at a depressed forward price-to-earnings (P/E) ratio compared with its recent historical levels. If earnings expectations continue to align with the stock’s valuation, Broadcom’s chances of holding recent gains—or moving higher—improve. A potential slowdown in hyperscaler AI spending remains a risk, though it has not materialized so far. Upcoming earnings from several Magnificent Seven companies should provide more clarity on the spending outlook. |
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