The data center industry is in the middle of one of the largest infrastructure buildouts in history. By McKinsey’s estimates, global spending on data centers could reach $7 trillion by 2030.

AI is the major catalyst for growth, but it’s only one part of the broader trend. Continued cloud adoption, enterprise digital transformation, streaming, e-commerce, connected devices, and increasing data-intensive applications are all contributing to demand for digital infrastructure. As businesses, governments, and consumers become more reliant on digital technologies, the infrastructure required to store, process, and transmit data must scale accordingly. 

This growing dependence on technology is increasing energy demand across the digital ecosystem. Global electricity consumption from data centers is projected to reach 565 terawatt-hours (TWh) in 2026, a 26% jump from 447 TWh in 2025, according to Gartner. Looking further ahead, demand is expected to reach roughly 290 gigawatts and 1,200 TWh annually by 2030, roughly the same amount of power the entire country of Japan uses annually.  

AI is accelerating this trend because advanced models require significantly more computing power than traditional applications. Large language models and multimodal AI systems run on graphics processing unit (GPU) clusters that consume several kilowatts per server, which is far more than the 200–500 watts a typical enterprise server uses.  

As Gartner’s Lead Economist Linglan Wang puts it, surging demand for AI workloads is reshaping the game: power availability, not just chip supply, is becoming the deciding factor in who can scale AI and protect their margins. This dynamic is also driving efficiency improvements, including denser server racks, smarter cooling systems, and much closer coordination with power utilities and grid operators. Even so, growth in data center and power demand is likely to significantly outpace those efficiency gains. 

The scale of investment reflects the importance of this broader digital transformation. Global data center capacity is expected to grow at a 14% compound annual rate through 2030, with about 100 gigawatts of new capacity coming online between 2026 and 2030, effectively doubling global capacity in just five years. Total infrastructure investment across the sector could reach up to $3 trillion during that period. 

That investment extends well beyond the data center industry itself, driving demand for electric utilities, construction, engineering, advanced manufacturing, networking equipment, semiconductors, and skilled technical workers. 

Digital infrastructure is what transforms a building into a functioning data center. It includes the physical hardware and software systems that store, process, and transmit data. This includes servers, storage devices, networking equipment, cloud platforms, and the power and cooling systems that keep everything running.

Let’s break it down into three categories:

This is the engine room of the data center. Servers packed with central processing units (CPUs) and GPUs handle the processing, while storage systems, including hard drives, solid-state drives (SSDs), and tape libraries, hold massive volumes of data. Cloud platforms and virtualization software tie everything together, pooling hardware resources and delivering computing power over the internet.

Once data is processed, it has to move somewhere. Routers and switches direct traffic where it needs to go, while fiber optic cables provide the high-speed connections linking data centers to users and other facilities around the world. Software-defined networking (SDN) lets IT teams manage network traffic through software instead of physically changing network equipment.

Finally, none of this works without the engineering behind it. Power systems, including uninterruptible power supply (UPS) units, battery banks, and backup generators, are what keep operations running even during outages. Cooling systems, from traditional chillers to advanced liquid cooling, remove the intense heat generated by densely packed server racks. Meanwhile, security and monitoring systems, including data center infrastructure management (DCIM) software, continuously monitor performance and identify potential issues before they lead to downtime.

The data center category covers a wide range of facility types, each suited to different needs. 

• Enterprise data centers are single-tenant facilities built and operated by a single organization, such as a hospital, a bank, or a government agency. They are custom-designed solutions built around specific workloads and security requirements. 
• Colocation facilities allow multiple tenants to rent space, power, and cooling in a shared building, while each tenant owns and manages their own equipment. It’s a way to get dedicated infrastructure without the cost of building your own facility. 
• Cloud data centers power the on-demand services businesses rely on every day, from software applications and data storage to AI platforms and business operations. 
• Hyperscale data centers are the largest facilities in the world. Built by major technology companies like Amazon, Google, Microsoft, Oracle, and Meta, these campuses often exceed 100 megawatts of IT capacity, and some now approach or surpass a full gigawatt. Every aspect is designed for efficiency to make it easy to replicate and expand as demand grows. 
• Edge data centers are smaller, distributed facilities placed close to end users to cut down on latency. They’re showing up in carrier hotels, repurposed buildings, and purpose-built enclosures that support things like autonomous systems, manufacturing automation, and 5G, where every millisecond counts. 

The most mission-critical operators, like financial exchanges, federal agencies, and large healthcare networks, have zero room for error. That’s where the Tier IV facilities come in, the highest classification in the industry, targeting 99.995% uptime with fully fault-tolerant systems and no single point of failure. 

Across all of these categories, the direction is the same: higher density, greater power draw per rack, and increasingly sophisticated mechanical and electrical systems. What used to be the exception in facility design is quickly becoming the baseline. 

The rapid expansion of the industry reflects demand from across the digital economy. Organizations continue moving workloads to the cloud, enterprises are modernizing legacy infrastructure, connected devices are generating unprecedented amounts of data, and AI is creating an entirely new class of computing requirements. 

Enterprise workloads continue migrating to the cloud, with Gartner forecasting worldwide public cloud end-user spending to exceed $1.48 trillion by 2029. Every one of those cloud services ultimately depends on physical data center infrastructure. 

AI is the biggest force driving data center growth today, but its impact extends far beyond the technology sector. In 2025, AI accounted for roughly one quarter of global data center demand. By 2030, that share is expected to approach one-half. Much of that growth will come from inference, the process of running trained AI models to deliver responses and predictions for everyday users, which is expected to overtake model training as the largest AI workload. As AI becomes part of everyday business operations, the need for digital infrastructure is growing rapidly. This growth is fueling investment in data centers, power systems, communications networks, and other supporting infrastructure that enables the digital economy 

Inference also has different infrastructure needs than training. Instead of concentrating massive amounts of computing power in a single location, inference requires systems that are always available, respond with very low latency, and are distributed closer to where people and businesses use AI applications. As a result, companies are investing not only in larger hyperscale campuses but also in edge data centers. 

Data centers have become foundational infrastructure for the modern economy. Nearly every industry now depends on them to operate, innovate, and compete, making them just as essential as transportation networks, utilities, and telecommunications. As businesses continue to digitize and AI is more deeply integrated into everyday operations, reliable digital infrastructure will play an even greater role in supporting productivity, innovation, and the future of work.

Meeting the demands of the next generation of data centers requires more than construction expertise. It takes integrated thinking across power, water, land, and long-term operations and the ability to translate complex regulatory, financial, and technical factors into clear, executable plans.

GFT helps clients plan, design, and integrate energy, water, and site infrastructure that works from day one and scales for the future, optimizing onsite systems while coordinating with utilities and regulators to enable efficient, resilient, and cost-effective data center development.