AI has officially broken Moore’s Law — and the world isn’t ready

AI has officially broken Moore’s Law — and the world isn’t ready

AI compute demand is growing at over twice the rate of Moore’s Law, and the implications are staggering.

To put it simply: just to meet current demand, the world must invest $500 billion per year in data centers — every single year — through 2030.

For decades, Moore’s Law defined progress: the number of transistors on a chip doubles roughly every two years. But AI has shattered that. Compute demand has exploded at 2× Moore’s pace for the past decade, turning compute itself into the planet’s most valuable commodity.

By 2028, global data center spending is projected to reach $900 billion, with AI servers growing at +41% CAGR and total infrastructure growing +23% CAGR. Yet despite the boom, data centers face an $800 billion revenue shortfall — we’ll need nearly $2 trillion in additional funding to build enough capacity through 2030.

The construction surge is unprecedented:

  • $40 billion worth of U.S. data centers are under construction — +400% since 2022.
  • For the first time, their total value will soon surpass office buildings.
  • Construction costs alone (excluding chips and servers) have soared to $43 billion annually, up +322% in four years.

But there’s a darker side: energy.
AI data centers could consume 1,600 terawatt-hours of electricity by 2035 — nearly 4.4% of global power. Demand is expected to quadruple within a decade.

That raises two urgent questions:

  1. Where will the money come from?
  2. Where will the power come from?

The answers may lie in two frontier technologies:

  • Nuclear energy, which runs 24/7 and matches AI’s constant draw.
  • Quantum computing, which could exponentially reduce compute demand through qubit-based processing.

And here’s the twist: despite all the hype, valuations aren’t in a bubble. Forward P/E ratios across AI-linked stocks are half of what they were during the 2000 dot-com peak. Companies are actually getting cheaper as they scale — a signal that this revolution is more grounded in fundamentals than speculation.

We are still very early in the AI revolution — but the transformation is spreading across stocks, bonds, energy, and even commodities.

💡 The takeaway: Data centers are the new oil wells. Compute is the new currency. The race isn’t just for intelligence — it’s for the infrastructure that powers it.

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