Remember when everyone said AI was a bubble? Yeah, about that. The numbers just came in, and the bears are looking pretty silly right now.
Here’s the thing: the AI economy is now generating $175 billion in annualized revenue—and that’s only counting real customer demand. No chip sales, no ad uplift, no “AI features” slapped onto legacy software. Just actual people paying actual money for AI stuff. That’s wild.
Now, $175 billion sounds massive (because it is), but here’s where it gets interesting. That’s only 0.5% of U.S. GDP. The entire digital economy is 10% of GDP. So AI is still tiny relative to the overall economy—which means there’s insane runway ahead.
But the real kicker? Speed. The AI economy is scaling 3x faster than the internet and mobile booms. In 2023, it took 180 days to add $1 billion in cumulative revenue. Today? Less than two days. That’s a 90x acceleration. Quarter-over-quarter growth is running ~35%, which annualizes to more than 3x. This is the kind of growth trajectory that makes long-term investors lose their minds (in a good way).
The CapEx Math Is Actually Closing
The bears’ favorite argument was that hyperscalers are spending ~$2 trillion on AI infrastructure, and there’s no way the economics ever work out. It’s a bubble, they said. It’ll burst, they said.
Except the math is starting to work.
For every dollar of AI infrastructure that depreciates, roughly $1.19 in hyperscaler and neocloud revenue is coming in to cover it. A year ago, that ratio was below 1.0. Now it’s above it. We’re still in the early stages of the utilization ramp, but the direction has flipped. The revenue side just pulled ahead of the capex curve for the first time.
Why Cheaper Tokens Are Actually Bullish
Here’s where the bears really miss the plot. Token prices have collapsed from ~$17 per million to ~$2. The bears see this and scream “margins are going to zero!”
But they’re confusing price with value. Cheaper tokens = more use cases. Better models unlock new applications. Reasoning models consume more tokens as they think through complex problems. So the very thing bears point to as a headwind—price compression—is actually the accelerant for the next volume explosion.
More apps, more agents, more inference, more memory, more networking, more storage, more power, more cooling, more data centers. It’s the Jevons Paradox playing out in real time. Efficiency improvements lead to increased total consumption. Bears are worried about price compression. Bulls are focused on volume elasticity. The data says volume wins.
The Bottom Line
The AI trade is alive. The fundamentals are inflecting positively. And the market is handing you a discount on one of the most compelling long-term growth stories in history.
The infrastructure stack—chips, memory, networking, servers, power, cooling—is where the real opportunity lives. The direction has changed. In markets, direction matters more than destination.
