The four companies that essentially run the internet just committed a number so large it stops making intuitive sense. Alphabet, Meta Platforms, Microsoft, and Amazon are collectively on track to invest nearly $2.4 trillion in AI infrastructure over the coming years, according to Bloomberg.
To put that figure in perspective, $2.4 trillion is roughly the entire GDP of Italy. These four companies are planning to spend the economic output of a G7 nation on buildings full of GPUs and the power systems needed to keep them humming.
The numbers behind the buildout
In 2026 alone, the hyperscale operators are projected to spend between $600 billion and $635 billion on capital expenditures. Approximately 75% of that total is earmarked for AI-related initiatives, meaning nearly $475 billion will flow into AI computing hardware, cooling systems, and power infrastructure this year.
Morgan Stanley’s projections paint an even larger picture. The bank estimates global data center capital expenditures could reach approximately $2.9 trillion from 2025 to 2028. And here’s the part that should make every capital markets participant sit up: Morgan Stanley identifies a $1.5 trillion financing gap in that equation, one the bank expects to be bridged primarily through private credit markets.
Meta is already moving dirt. The company recently acquired roughly 1,039 acres in El Paso, Texas, for a gigawatt-scale AI data center campus projected to cost more than $10 billion.
Why crypto markets should be paying attention
The obvious question for digital asset investors: what does a $2.4 trillion AI infrastructure bet have to do with crypto? The answer is more direct than you might think.
First, there’s the energy angle. AI data centers are power-hungry monsters. A gigawatt-scale facility like Meta’s El Paso project consumes roughly the same electricity as a mid-sized city. That kind of demand puts enormous pressure on energy markets, which directly impacts Bitcoin mining economics.
Second, the $1.5 trillion financing gap Morgan Stanley identified is a signal flare for alternative capital markets. Private credit is expected to absorb most of that shortfall, but the sheer scale of capital required will ripple across every corner of finance.
The competitive landscape and what to watch
The supply chain implications are equally significant. Every dollar spent on AI data centers flows downstream to chip manufacturers, networking equipment providers, construction firms, and energy companies. NVIDIA, which supplies the vast majority of AI training chips, sits at the center of this capital supercycle.
The financing gap is perhaps the most actionable signal. A $1.5 trillion hole that needs filling through private credit markets means yields, risk premiums, and capital availability across the broader financial system will all be affected.