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Broadcom just dropped a bombshell on their latest earnings call — and Wall Street is still trying to figure out what hit them.The company quietly revealed they're tracking toward $100 billion in AI revenue. Not someday. Not in a decade. Within the next three years. And behind that number? Six customers. Just six. The most elite AI buyers on the planet, each building million-chip clusters that will reshape how we think about computing infrastructure.In this episode, we break down everything Hock Tan said on the call — and more importantly, what he didn't say. We go customer by customer through Broadcom's six hyperscaler relationships: Google, Anthropic, Meta, OpenAI, and the two mystery buyers Wall Street can't stop speculating about (ByteDance and Apple are the leading candidates). Each one tells a different story about where AI infrastructure spending is headed.We dig into why AI spending is irreversible once you've made the switch, why training isn't dead despite what the DeepSeek crowd keeps saying, and how the demand picture has actually gotten stronger — not weaker — since the last earnings cycle. Meta alone is scaling from hundreds of thousands of accelerators to millions. Anthropic is talking about 3 gigawatts of power demand. These aren't science projects. These are the biggest infrastructure buildouts since the internet itself.Then we do the math on Broadcom's path to a $3 trillion market cap, why Wall Street's current models are still underestimating the opportunity, and what this all means for investors watching the AI infrastructure trade play out in real time.Whether you're long Broadcom or just trying to understand the AI capex cycle, this episode connects the dots between earnings calls, datacenter buildouts, and where the smart money is actually flowing.0:00 Intro0:20 Broadcom's $100B Bombshell1:22 Why AI Spending Is Irreversible1:53 Hock Tan's Earnings Call4:18 Not a Zero-Sum Game5:57 Why Training Still Matters7:48 Training vs Inference: Two Tracks9:48 Demand Durability11:14 The 6 Elite Customers12:53 Customer #1: Google17:12 Customer #2: Anthropic20:31 Anthropic's 3GW Scaling21:31 Customer #3: Meta25:09 Meta's Two-Track Strategy26:47 Customer #4: OpenAI28:29 Customers #5 & #628:59 The Math Behind $100B31:56 Wall Street's Disconnect33:53 Key Investor Insights36:10 The Road to $3 Trillion38:00 Outro
By Colin TedardsBroadcom just dropped a bombshell on their latest earnings call — and Wall Street is still trying to figure out what hit them.The company quietly revealed they're tracking toward $100 billion in AI revenue. Not someday. Not in a decade. Within the next three years. And behind that number? Six customers. Just six. The most elite AI buyers on the planet, each building million-chip clusters that will reshape how we think about computing infrastructure.In this episode, we break down everything Hock Tan said on the call — and more importantly, what he didn't say. We go customer by customer through Broadcom's six hyperscaler relationships: Google, Anthropic, Meta, OpenAI, and the two mystery buyers Wall Street can't stop speculating about (ByteDance and Apple are the leading candidates). Each one tells a different story about where AI infrastructure spending is headed.We dig into why AI spending is irreversible once you've made the switch, why training isn't dead despite what the DeepSeek crowd keeps saying, and how the demand picture has actually gotten stronger — not weaker — since the last earnings cycle. Meta alone is scaling from hundreds of thousands of accelerators to millions. Anthropic is talking about 3 gigawatts of power demand. These aren't science projects. These are the biggest infrastructure buildouts since the internet itself.Then we do the math on Broadcom's path to a $3 trillion market cap, why Wall Street's current models are still underestimating the opportunity, and what this all means for investors watching the AI infrastructure trade play out in real time.Whether you're long Broadcom or just trying to understand the AI capex cycle, this episode connects the dots between earnings calls, datacenter buildouts, and where the smart money is actually flowing.0:00 Intro0:20 Broadcom's $100B Bombshell1:22 Why AI Spending Is Irreversible1:53 Hock Tan's Earnings Call4:18 Not a Zero-Sum Game5:57 Why Training Still Matters7:48 Training vs Inference: Two Tracks9:48 Demand Durability11:14 The 6 Elite Customers12:53 Customer #1: Google17:12 Customer #2: Anthropic20:31 Anthropic's 3GW Scaling21:31 Customer #3: Meta25:09 Meta's Two-Track Strategy26:47 Customer #4: OpenAI28:29 Customers #5 & #628:59 The Math Behind $100B31:56 Wall Street's Disconnect33:53 Key Investor Insights36:10 The Road to $3 Trillion38:00 Outro