(00:00:00) ASICs Seize 25% of AI Inference & Broadcom's $22B Record Punished
(00:00:41) Hyperscaler ASIC Economics
(00:01:21) Agentic AI Shifts Compute Demands
(00:01:52) Broadcom Revenue Record, Stock Punished
(00:02:48) Intel Foundry Apple Deal Reality Check
(00:03:21) NVIDIA's TAM Defense

Custom silicon is mounting a structural challenge to GPU dominance in AI infrastructure — and the numbers are compelling. Hyperscaler-built ASICs held less than 5% of AI inference in 2023; they are on track to capture 25% by 2026. Today's episode unpacks the economics driving that shift, from Google TPUs and Meta's MTIA v2 to Microsoft's Azure Cobalt CPU handling millions of Bing Chat queries daily at 40% lower TCO than GPU alternatives.

Broadcom delivered a record quarter — $22.19 billion in revenue, with AI semiconductor revenue up 143% year-over-year to $10.8 billion — yet the market sold the stock down 17%. The episode explains the margin compression story behind that reaction, the customer concentration risk, and why JPMorgan still set a $580 price target citing advanced packaging dominance.

Intel's foundry partnership with Apple sent the stock above $140, but this episode gives the honest read: no confirmed wafer timeline, no proven yield at volume, and a significant execution gap versus TSMC that the market appears to be pricing optimistically.

Finally, the episode addresses Nvidia's total addressable market defence. AI inference silicon is projected to reach $150 billion by 2026, up from $40 billion in 2023 — meaning share loss and revenue growth can coexist. The three signals to watch: Broadcom's next margin print, Meta MTIA v2 deployment scale, and Intel 18A yield data. Technically grounded and commercially sharp — essential listening for investors, engineers, and tech professionals tracking the AI hardware layer.

This episode includes AI-generated content.