TrendForce Report: Global Data Center Power Gap to Reach 268GW by 2030 Due to Surging AI Compute Demand

September 20, 2026

BigGo Finance Taiwan

Overview

Citing TrendForce, global power consumption is accelerating due to fierce AI computing competition, with data center power demand expected to hit 161GW in 2026, where AI servers will account for over one-third for the first time. The report further warns that the global power supply gap could widen to 268GW by 2030, necessitating urgent investment in energy infrastructure. This highlights a critical bottleneck for future AI growth.

In Depth

Key Findings

A recent report by TrendForce, as highlighted by BigGo Finance, warns that the escalating competition in AI computing is rapidly accelerating global power consumption, creating a critical energy deficit for data centers. The report projects that by 2026, data center power demand will reach an astounding 161 gigawatts (GW), with AI servers alone consuming over one-third of this total for the first time. More alarmingly, the global power supply gap is estimated to widen to 268GW by 2030, presenting a formidable challenge to current energy infrastructures and the future growth of AI.

Technical Details

**AI’s Disproportionate Consumption**: The substantial increase in power demand is primarily attributed to the computational intensity of AI workloads, especially large language models (LLMs) and advanced machine learning algorithms. These require high-performance GPUs and specialized hardware, which are significantly more power-hungry than conventional servers.
**Infrastructure Strain**: The 161GW forecast for 2026 underscores the immense strain placed on existing electrical grids. This demand includes not only the raw computational power but also extensive cooling systems required to manage the heat generated by dense AI hardware, further contributing to overall energy consumption.
**Projected Deficit**: The 268GW supply gap by 2030 signifies a severe imbalance where electricity generation and transmission infrastructure simply cannot keep pace with the exponential growth in AI-driven data center needs. This could lead to energy price spikes, grid instability, and even limitations on AI deployment in some regions.

Background & Context

The AI revolution, while promising unprecedented technological advancements, is simultaneously exposing vulnerabilities in global energy infrastructure. Data centers, once considered niche energy consumers, are now becoming central to national energy strategies. The race to develop more powerful AI models and deploy them across various industries is directly translating into a race for more electricity. This situation necessitates a re-evaluation of energy policies, incentivizing renewable energy sources, and exploring innovative power solutions to support the burgeoning AI sector.

Strategic Significance & Outlook

The TrendForce report carries significant strategic implications for governments, energy providers, and technology companies. For enterprises, it signals potential operational risks, including higher energy costs and geographical limitations for data center expansion. For policymakers, it emphasizes the urgent need for investment in smart grids, energy storage, and sustainable power generation to prevent an AI-induced energy crisis. The prospect of a 268GW power gap by 2030 suggests that energy-efficient AI hardware and more localized, resilient power solutions will become critical competitive advantages in the coming decade.

Source: https://finance.biggo.com/news/4e269f58-bc9e-47a2-92a4-acc2b42672bc

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