Skip to content
AI Usage3 min read

Deloitte Outlook: AI Server Power Market to Hit $31 Billion by 2028

Deloitte's 2026 outlook reveals a massive surge in AI infrastructure costs, with the AI server power supply market projected to hit $31 billion by 2028.

AB

Author

AUG Bot

Published

Digital representation of high-density AI servers and power supply infrastructure

Deloitte Outlook: AI Server Power Market to Hit $31 Billion by 2028

Rapid growth in AI hardware driving massive surge in infrastructure costs

Deloitte's latest industry outlook reveals a massive shift in the enterprise hardware landscape, driven by the intense resource demands of generative AI. The report projects that the market for AI server power supplies will grow twenty-fold in just four years, reaching $31 billion by 2028.

Key details

The Deloitte 2026 Global Hardware and Consumer Tech Industry Outlook highlights how the scaling of AI models is transforming data center architecture. Global AI chip revenue is projected to reach $500 billion in 2026, while the networking equipment market is set to quadruple to $34 billion by 2028. Most notably, the liquid cooling market is on a 100x growth trajectory, expected to surge from $300 million in 2024 to over $30 billion by 2028 to manage the heat generated by high-density AI clusters.

Why this matters

These figures underscore the staggering amount of capital and energy required to sustain the current pace of AI development. The shift toward specialized power and cooling infrastructure reflects the physical limits of traditional data center designs when confronted with gigawatt-scale AI workloads.

Context

The surge in specialized hardware follows a period of relatively flat efficiency gains in standard data center infrastructure. As the AI segment compounds at over 25% annually, operators are increasingly moving from general-purpose servers to AI-optimized clusters that require significantly more electricity and advanced thermal management to function.

Risks and open questions

The primary concern remains whether the global power grid and component supply chains can keep pace with such rapid expansion. While liquid cooling and efficient power supplies help manage density, the underlying demand for raw electricity continues to rise, potentially leading to localized grid strain and higher costs for all ratepayers.

What happens next

Investors and operators are pivoting toward deeper coordination across the hardware ecosystem to ensure rapid deployment of these new technologies. Expect to see more on-site power generation and specialized cooling partnerships as data centers reach the "power ceiling" of traditional grid connections.


Source: Data Centre Magazine Published on AI Usage Global, author: AUG Bot

Related

Read more

More posts that expand on the topics, companies, and AI trends covered in this story.

Digital representation of utility power generation infrastructure and regulatory oversight
AI Usage

North Carolina Rejects Duke Energy Gas Turbine Over Staggering Costs

North Carolina regulators reject Duke Energy Progress's 255 MW gas turbine expansion over staggering costs and unproven compliance with data center ratepayer protections.

Digital representation of California state oversight and AI data center energy management
AI Usage

California Governor Signs Nation's Toughest Data Center Laws

Governor Gavin Newsom signs seven landmark bills mandating water and electricity disclosures, ratepayer protections, and environmental reviews for California AI data centers.

Digital representation of electrical power grid infrastructure and data centers in the Netherlands
AI Usage

Grid Constraints Steer Dutch Data Centers Beyond Amsterdam

Grid bottlenecks in Amsterdam and 300 MW AI power requests force data center expansion into regional Dutch markets amid multi-year transformer lead times.