For context, a gigawatt is enough power to run about 700,000 homes. Anthropic is going to be using three times that much just to train AI models. And all that infrastructure is being built with Broadcom's chips and networking gear.

The company also said networking revenue is growing from 33% of AI sales in Q1 to a projected 40% in Q2. Translation: the pipes connecting all these chips are becoming as important as the chips themselves. Broadcom makes those too, with their Tomahawk 6 switch that can handle 100 terabits per second.

That's not a number you need to memorize. What you need to understand is this: AI isn't just about making faster chips anymore. It's about connecting thousands of chips together efficiently, and Broadcom is winning that race.

The $100 Billion Question

Here's where it gets interesting - or sketchy, depending on your perspective. Hock Tan said Broadcom has "line of sight" to $100 billion in AI chip revenue by 2027.

Let's do the math. Based on Q2 guidance of $10.7 billion in AI semiconductors, they're running at about $43 billion annualized right now. Getting to $100 billion by 2027 means more than doubling revenue in less than two years.

Is that realistic? Maybe. It requires one of two things: either hyperscalers like Google and Meta massively ramp up AI spending (possible), or Broadcom signs several new mega-customers (also possible). But it's definitely an aggressive forecast.

Wall Street analysts are divided. Some think Tan is being conservative based on the current trajectory. Others think he's talking his book on an earnings call, which - let's be honest - every CEO does.

The Risk Nobody Wants to Talk About

Here's the part that should make you nervous: customer concentration. Broadcom's AI business is almost entirely dependent on five hyperscalers: Google, Meta, Amazon, Microsoft, and Anthropic.

That's both a strength and a massive risk. These are deep, multi-year partnerships with companies that have infinite money to spend on AI infrastructure. But if any one of them pulls back on capital spending - or decides to bring chip design fully in-house - Broadcom's growth story takes a hit.

The other concern: Broadcom's non-AI semiconductor business is flat. Zero growth. The entire company is riding on AI demand continuing to explode. If we hit a slowdown - or if AI investment plateaus because the returns aren't there - this stock could get ugly fast.

So Should You Buy It?

I'm not going to tell you what to do with your money. But here's how I'm thinking about it:

Broadcom is a different AI play than Nvidia. It's less about selling picks and shovels to everyone, and more about being the exclusive supplier to the biggest players. That's a bet on the hyperscalers continuing to spend massively on custom AI infrastructure.

If you believe AI compute is going to 3x over the next two years - like the Anthropic numbers suggest - then Broadcom is probably undervalued. If you think we're near peak AI hype and spending is about to slow down, stay away.

One thing I'll say: this is a much more sophisticated AI investment thesis than "Nvidia goes up because AI." You're betting on custom silicon beating general-purpose GPUs, on hyperscaler capex staying strong, and on Broadcom's ability to execute on networking as much as chips.

That's a more complex story, which means fewer people understand it. And in investing, sometimes the best opportunities are the ones that require you to actually read the earnings call transcript instead of just buying whatever r/wallstreetbets is pumping this week.

Bottom line: Broadcom's $100 billion AI forecast might be aggressive, but the underlying trend - custom chips winning share from GPUs, networking becoming critical, hyperscalers building proprietary infrastructure - is real. Whether that justifies the current valuation is a question you'll have to answer for yourself.

That 'Closed' Strait of Hormuz? An Analyst Just Proved Half the Oil Is Still Flowing

2 days ago