A massive investment of 4 trillion yuan in computing power has begun, and the era of tokens is rapidly approaching.

Recently, news about computing power has attracted industry attention.

What does 4 trillion yuan represent?

Simply put, it means that the construction of computing infrastructure will enter a period of rapid development in the next few years. From data centers and intelligent computing centers to AI model training and application deployment, the entire industry chain will see new growth opportunities.

The demand for computing power is directly reflected in the pressure on infrastructure.

Gartner predicts that global data center power consumption will reach 565 terawatt-hours in 2026, a year-on-year increase of 26%.

In short, the AI ​​era is entering a "computing power race."

If we liken an AI model to a high-speed machine, then tokens are the "fuel" this machine consumes as it processes information.

Every time a user asks a question to AI, and every time AI generates an answer, tokens are required for computation.

As the scale of AI applications expands, token consumption is growing rapidly.

For example, according to McKinsey's AI application practices, as of May 2026, its internal AI system processed approximately 5 trillion tokens per month, and token usage continues to grow with the emergence of new applications such as AI Agents.

This illustrates a trend: future AI competition will not only be about model capabilities but also about the efficiency of computing and token resources.

This is why the global AI industry has been expanding rapidly in recent years.

According to market research institutions, the global generative AI market is expected to maintain rapid growth in the coming years, potentially reaching hundreds of billions of dollars by around 2030.

Looking back at the development of the internet, each technological wave has spawned new digital entry points.

In the PC era, companies competed for website entry points; in the mobile internet era, apps became a crucial way to connect with users;

And in the AI ​​era, a digital entry point that represents industry trends and carries brand value will become increasingly important.

In recent years, domain name transactions related to AI and technology have also attracted increasing market attention.

For example, some short AI-related domain names and highly relevant domain names have consistently commanded high prices in the market, reflecting the growing emphasis companies place on digital brand assets.

With the continued development of the computing power industry, the value of assets related to the AI ​​ecosystem may also see new opportunities.

A simple, precise domain name that aligns with industry trends can often help companies establish market recognition more quickly.

Currently, DN.com continues to monitor the development trends of AI and related industries and has acquired a number of high-quality domain name resources with industry value.