Continued Demand for AI Computing Power#

Morgan Stanley analysts have stated that the demand for computing power used in artificial intelligence (AI) will continue to grow significantly, outpacing the available supply. This comes even as concerns about the costs associated with data center development and energy consumption rise.

Advancements in AI Technology#

The firm noted that improvements in large language models, which are a type of AI technology, are progressing rapidly. As businesses increasingly adopt AI, the economic benefits are also rising. Analysts believe that those who control essential resources for AI infrastructure—such as skilled labor, energy, and high-quality hardware—will see their value increase.

Surge in Interest and Key Developments#

Interest in AI infrastructure has surged, as evidenced by a nearly fourfold increase in attendance at Morgan Stanley’s Powering AI Summit compared to the previous year. Additionally, companies focused on Bitcoin have improved their contracts with major data center providers, leading to better financial outcomes. This has resulted in higher cash flow yields, indicating stronger profitability.

Challenges Facing the Sector#

Despite the growth, the AI infrastructure sector faces challenges, including rising opposition to new data centers due to concerns about energy costs and potential job losses. To address these issues, data center developers are starting to offer benefits to the power grid, helping to supply energy when needed. An example of innovation in this area is Form Energy, which is partnering with Google to provide cost-effective energy storage solutions.

The Future of AI Infrastructure#

Morgan Stanley emphasizes the importance of achieving AI dominance in the U.S. while keeping consumer costs in check. As new large language models are released this spring and summer, the urgency for securing computing and data center capacity is expected to increase. Major U.S. tech companies are also providing financial and operational support for building new data centers and power facilities.