Digital Realty owns and operates data centers around the world. A data center is a specialized building that provides the space, electricity, cooling, and network connections needed to run servers continuously. Digital Realty does not make chips and does not sell computing: it rents to its customers, companies and cloud giants, the physical infrastructure into which they install their machines. Its sites are designed to connect to many telecom operators, letting a tenant freely choose its network suppliers. Its model is that of a specialized property owner, with steady revenue from long leases. Its dependence on a few very large customers and the cost of financing its buildings remain points of vigilance. Verify before acting: the level of debt and the concentration of the main tenants.
Digital Realty owns something the rise of artificial intelligence makes rare and coveted: data centers already built, connected, and spread across the planet. Building such a fleet takes years and much capital, which protects the incumbent position; that is the strength of the case, a tangible physical asset with recurring revenue. The fragilities lie in the property model itself. These buildings are costly to finance, and a rise in interest rates directly weighs on so indebted an owner's bill. The customer base is concentrated on a few cloud giants, whose slightest renegotiation matters. Finally, Digital Realty captures artificial-intelligence demand indirectly: it rents the walls but does not earn the margin of the computing done inside, and an overbuild of data centers by the giants themselves could one day weigh on rents. Verify before acting: sensitivity to interest rates and the sector's overcapacity risk.
Digital Realty holds an infrastructure link of the Compute Economy: the ownership and operation of data centers leased to companies and cloud giants. Its strength is a physical fleet hard to replicate, with recurring revenue; its fragility, rate sensitivity, a concentrated customer base, and an overcapacity risk. Verify before acting.
Everything you need to know about NeonBridge and the compute economy.
Oil powered the 20th century. Compute powers the 21st. Every time an AI model runs or a Bitcoin block is mined, it takes energy, chips, data centers, and cloud infrastructure to make it happen. The companies building all of that form the compute economy. NeonBridge tracks 200+ of them across 7 categories.
Just like oil or electricity, compute is a raw resource that every industry needs. AI models can't train without GPU cycles. Bitcoin can't exist without hashrate. As demand grows, the companies that produce, store, and distribute compute become critical infrastructure. That makes compute the defining commodity of this century.
AI and Bitcoin are not two separate topics. They are two expressions of the same industrial revolution. AI transforms compute into intelligence. Bitcoin transforms compute into verifiable scarcity. Both need the same physical foundations: energy, chips, and data centers. That is why NeonBridge tracks them together, as one economy.
Most companies in the tracker are publicly listed stocks you can buy through any brokerage account. We highlight EU-friendly brokers like Trade Republic, Interactive Brokers, DEGIRO, and Scalable Capital to help you get started. No crypto wallet needed for the equity side.
Like any sector, compute infrastructure carries risk. Chip supply chains can be disrupted by geopolitics. Energy costs fluctuate. AI regulation is evolving fast. Bitcoin mining profitability depends on network difficulty and price cycles. Diversifying across the 7 categories of the compute economy helps reduce exposure to any single risk.
Global AI compute capacity doubles every 6-7 months, fueled by explosive AI adoption outpacing historical trends, with contributions from Bitcoin mining infrastructure repurposing and autonomous systems. Governments worldwide have committed hundreds of billions to chip manufacturing and power infrastructure. This reflects an enduring industrial shift comparable to electrification.
