The global economy is in the largest capex cycle ever, with $5 trillion by the end of the decade

The Great Capex Supercycle: Why AI and Energy are Triggering a $5 Trillion Investment Wave

While the headlines have been dominated by the breakneck speed of artificial intelligence, a much larger financial tide is rising. The global economy is currently entering what experts describe as the largest capital expenditure (capex) cycle in history—a dual-engine surge driven by the AI revolution and a massive, structural transition in global energy.

This isn’t just a momentary spike in spending. It is a fundamental rebuilding of the world’s industrial and digital infrastructure. Between the race for computing power and the urgent need for energy security, we are seeing a convergence of capital that will reshape markets for decades.

The Energy Transition: A $5 Trillion Tsunami

For nearly twenty years, U.S. Electricity demand remained largely stagnant. That era is over. According to Eli Horton, a senior portfolio manager for TCW’s equity products, the global economy is experiencing its largest capital cycle ever, centered specifically on the energy transition.

Horton estimates that this cycle will unleash nearly $5 trillion of spending by 2030. This surge isn’t attributed to a single cause but rather a “perfect storm” of three primary drivers:

1. Energy Security: Geopolitical instabilities, such as the Iran war and the closure of the Strait of Hormuz, have forced nations to prioritize secure, domestic energy sources.
2. Rising Electricity Demand: A revival in domestic manufacturing and the broad electrification of the economy—compounded by the energy-hungry nature of AI data centers—have pushed power demand to new heights.
3. Decarbonization: Ongoing global efforts to reduce carbon emissions are necessitating a complete overhaul of existing energy grids.

The Industrial Bottleneck: Power and Equipment

This spending spree is creating massive tailwinds for industrial giants. Caterpillar, for instance, is riding this wave through its mining, construction, and power generation businesses. However, the most striking example of this demand is GE Vernova.

Demand for GE Vernova’s gas turbines has soared to the point where they are reportedly sold out through 2030. Because only three companies globally produce these turbines, they hold significant pricing power and strategic leverage in a market desperate for reliable power generation.

The AI Hyperscaler Engine

While the energy transition provides the foundation, AI hyperscalers—specifically Alphabet, Amazon, Meta, and Microsoft—are providing the acceleration. These firms are plowing hundreds of billions of dollars annually into AI infrastructure.

The scale of this investment is staggering. Analysts at Bank of America estimated that hyperscaler capex will exceed $800 billion this year, representing a 67% increase over 2025. Looking ahead, BofA suggests that spending could reach $1 trillion next year, supported by accelerating revenue and strong cash flow.

The Role of Semiconductor Pricing

A significant portion of this AI spending is being driven by the cost of hardware. The flood of capital is flowing directly to chipmakers that provide the essential computing capacity for data centers. Bank of America notes that AI semiconductor vendors are expected to maintain strong margins and pricing power, as major networking and compute vendors pass these increased costs along to their customers.

Conclusion: A Multi-Decade Trend

The overlap between AI and the energy transition is not accidental. AI requires massive amounts of power, and the transition to a decarbonized, secure energy grid requires the very intelligence and efficiency that AI provides.

While skeptics often question the longevity of AI spending, the current quarterly earnings from hyperscalers suggest durability. When combined with the structural necessity of the energy transition, it’s clear that we aren’t looking at a bubble, but a foundational shift in the global economy. For investors and corporate strategists, the focus now shifts from if this spending will happen to who is best positioned to supply the hardware and energy required to sustain it.