Goldman Sachs Predicts AI Investment Growth in Data Centers Driving Industry Transformation

Artificial intelligence investment is entering a more selective phase as companies and investors shift focus beyond early excitement to the critical data centre infrastructure needed to operate AI systems effectively.

Recent analysis from Goldman Sachs highlights a “flight to quality” in the AI market, where investors preferentially support firms that own and operate large-scale data centres and computing infrastructure. In contrast, companies offering narrow AI tools or experimental software receive less attention.

Goldman Sachs expects AI infrastructure spending to accelerate rapidly as businesses increase computing capacity for model training and deployment. Hyperscale cloud providers invest tens of billions annually in new data centres and cutting-edge hardware, alongside expanding networking systems to meet rising demand.

AI demand is reshaping the data centre market

Goldman Sachs Research estimates that AI workloads could represent around 30% of total data centre capacity within two years due to growing computing power needs in cloud services and enterprise applications. This reflects how AI workloads differ from traditional cloud tasks:

• Training large models requires thousands of chips running in parallel over extended periods.
• Inference, which generates AI predictions and outputs, demands continuous, steady computing power.

As a result, cloud providers and AI developers are expanding data centre capacity at an unprecedented pace. The scope of infrastructure demand also includes energy supply, which has become a central factor in the AI race.

Goldman Sachs Research projects a 175% increase in global data centre power demand by 2030 compared to 2023, mainly driven by AI workloads. This growth is roughly equivalent to adding the power consumption of a new top-10 electricity-consuming country worldwide. This surge is prompting utilities and governments to accelerate investment in energy infrastructure.

Infrastructure limits influence AI strategies

The rising need for power and cooling shapes data centre site selection. Large-scale AI facilities are typically located near stable energy sources and high-capacity fibre networks. Some companies even build AI training clusters in remote areas where land and electricity availability is easier to secure.

Environmental impact is another critical concern. Academic research indicates that cooling systems and geography influence energy and water use as much as hardware efficiency.

Building and expanding the infrastructure required to run AI systems reliably is a multi-year endeavor involving complex supply chains, land acquisitions, grid connections, and long-term energy contracts. Equipment shortages and grid expansion delays add further challenges, causing investors to favor companies with established data centre networks.

A selective phase of the AI market

During the initial wave of generative AI adoption, many companies saw market value increases just by linking themselves to AI. This phase is now shifting as investors focus on sustainable growth driven by infrastructure and revenue models.

Data centre operators and chip manufacturers occupy a foundational position in the AI ecosystem, providing essential services regardless of which AI applications succeed. Historically, companies owning the underlying infrastructure have enjoyed stable revenue, while software platforms have been more volatile. Similar trends may shape the AI sector’s future.

The expansion of AI infrastructure raises pressing questions about energy demand, grid capacity, and environmental impact—issues increasingly under scrutiny by governments and industry planners.

In the years ahead, the AI economy may hinge as much on power plants and cooling technology as on algorithms and software, reshaping the next stage of the AI race.

(Photo by Lightsaber Collection)

See also:

• Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance
• Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo, held in Amsterdam, California, and London. This comprehensive event is part of TechEx and co-located with other top technology conferences.

AI News is powered by TechForge Media. Explore other enterprise technology events and webinars here.