So everyone keeps talking about an AI slowdown, right? But then you look at what Broadcom just reported and... yeah, that narrative doesn't hold up.

Broadcom crushed expectations in their fiscal Q1. They posted $19.3 billion in revenue, up 29% year-over-year, which already beats what Wall Street was looking for. But here's where it gets interesting: their AI revenue jumped 106% to $8.4 billion. That's 12 straight quarters of double-digit AI growth. This isn't some one-off quarter.

The company's operating cash flow hit $8.26 billion, up 35%, and free cash flow climbed to $8 billion. CEO Hock Tan dropped some notable details too. OpenAI is now a customer. Anthropic's TPU compute is expanding from 1 gigawatt to 3 gigawatts in 2027. Meta's custom accelerator work with Broadcom is still very much active. For Q2, management guided to $22 billion in revenue—that's 47% year-over-year growth. They're expecting AI chip revenue alone to hit $10.7 billion, up 140%.

Think about that for a second. Broadcom's total revenue for all of 2025 was under $64 billion. They're saying AI chips alone could exceed $100 billion by 2027. That's not a slowdown narrative. That's acceleration.

What does this mean for Nvidia? Well, Nvidia still dominates the data center GPU space with around 92% market share. As AI adoption spreads beyond just the big hyperscalers—which is exactly what Nvidia's CEO has been saying is happening—demand for these processors should keep climbing. Since early 2023, Nvidia's stock has returned 1,150% while Broadcom hit 467%. Both are among the top performers globally, and both remain positioned to capture massive value.

The interesting part is the valuation angle. Broadcom trades at 31x forward earnings while Nvidia is at 22x. For companies expecting 47% and 77% revenue growth respectively in the coming quarter, those multiples actually look reasonable. The market seems caught between believing the slowdown narrative and the actual data these companies are putting up.

You've got some of the world's biggest companies in the semiconductor and AI infrastructure space telling you demand is accelerating, yet skepticism persists. That disconnect is worth paying attention to if you're thinking about exposure to this sector.