The Next Big Trend in AI: The Explosion of the Token Economy—Who Is Seizing the New Gateway?

A noteworthy shift is taking place in the competition within the AI ​​industry.

In the past, the market’s focus was on who possessed more powerful models, a greater number of parameters, and superior reasoning capabilities. Today, as the deployment of AI applications accelerates, another key term is rapidly moving to the center stage of the commercial landscape: "token."

According to the latest report, *China AI Software Market Semi-Annual Tracker (H1 2026)*, published by International Data Corporation (IDC), the Chinese MaaS (Model-as-a-Service) market reached a scale of 10.63 billion RMB in the first half of 2026—a year-on-year increase of 889.4%. During the same period, total token consumption across the market hit 2,857.9 trillion, representing a year-on-year growth of approximately 432.5%. The Chinese MaaS market has officially entered the 10-billion-RMB scale tier.

These figures reflect more than just an increase in the usage of large-scale models; they signify a fundamental shift in the commercialization models for AI.

From Model Competition to the Token Economy

As large-scale AI models increasingly permeate areas such as enterprise workflows, software development, intelligent customer service, content creation, and autonomous agent applications, AI is evolving from a simple conversational tool into foundational infrastructure that actively participates in productive work.

Every model invocation, every piece of content generated, and every task executed by an AI agent potentially incurs "token" consumption.

Consequently, tokens have emerged as a key metric for gauging the scale of AI usage and the associated costs of service.

Meanwhile, the way enterprises manage their AI expenditures is shifting. Recent research from IBM indicates that token consumption is becoming a rapidly growing operational cost for businesses, necessitating a closer look at the correlation between token usage and actual productivity.

In other words, while the model determines what an AI is capable of doing, token consumption serves as an increasingly direct indicator of the scale at which that AI is being utilized.

From Hardware Sales to Ongoing Token Consumption

AI business models are evolving in tandem.

Take, for instance, the AI ​​workstation launched by Daily Interactive (Mobvista/GeTui): its business logic extends beyond the mere sale of hardware. It also encompasses the generation of recurring service revenue driven by ongoing model invocations and token consumption.

This reflects a new strategic approach:

Hardware serves as the entry point into the user’s environment, the model provides the AI ​​capabilities, and the continuous consumption of tokens becomes a significant source of long-term commercial revenue.

Admittedly, the "token economy" is still in a phase of rapid development; actual profitability remains contingent on factors such as model costs, inference efficiency, customer usage frequency, and service pricing.

Nevertheless, it is clear that as AI applications become more widespread, "token" is transitioning from a purely technical term into an industry keyword with profound commercial significance.

Gtoken.com: A Branding Opportunity in the Era of the Token Economy

Every major technological wave brings with it a new set of industry-defining keywords.

The internet era gave us "Web," the cloud computing era brought us "Cloud," and in the age of AI, "Token" has emerged as a pivotal concept—linking model capabilities and computational resources to commercial billing.

From the perspective of domain-based branding, names built around the term "Token" offer significant potential for industry-relevant associations.

Gtoken.com combines the letter "G" with "Token," elegantly preserving this essential keyword of the AI ​​era. Whether for AI services, token management, digital assets, or related technical platforms, the name opens up a wide range of branding possibilities. The actual value of a domain name ultimately hinges on market demand and buyer recognition. However, as the "token economy" gains increasing attention, domain names incorporating related keywords warrant ongoing observation by domain investors.

Gtoken.com is currently listed for sale on the DN.com platform.

As the AI ​​arms race shifts from model capabilities toward token consumption and commercialization, could "token" emerge as a pivotal keyword for the next wave of tech brand naming?