The three major telecom operators have launched token packages, signaling the arrival of new AI infrastructure.

Industry News
19 May 2026 02:41:00 PM
By:DN domain name editor
In the past, we were familiar with "data packages" and "call packages," but today, "Token," a professional term originally belonging to the AI ​​technology circle, is being pushed to the mass market by operators.

Can you believe it? China's three major telecom operators have actually launched "Token plans."

In the past, we were familiar with "data plans" and "call plans," but today, the term "Token," originally a technical term belonging to the AI ​​technology circle, is being pushed to the mass market by telecom operators.

The three major telecom operators have launched token packages, signaling the arrival of new AI infrastructure.

In a sense, this might mean that the fundamental unit of measurement in the AI ​​era is shifting from "traffic" to "tokens."

Many people may not yet realize that the importance of tokens in the age of artificial intelligence may far exceed their imagination.

Simply put, if data traffic in the internet era determined information transmission, then in the era of large-scale models, tokens are more like the "fuel" or "computing power currency" of the AI ​​world.

Every time a user asks a question to a large-scale model, generates text, invokes an agent, processes images, or even videos, they are essentially consuming tokens.

When you converse with ChatGPT, Doubao, or Yuanbao, entering a sentence and receiving a response involves the computation and consumption of tokens. Enterprises calling large-scale model APIs, training intelligent agents, and deploying AI customer service also rely heavily on token cost management.

In other words, in the future, enterprises will discuss not just server costs, but token costs.

This is why it's worth paying attention to operators starting to sell token packages.

Because it sends a clear signal: AI is transforming from a "technical tool" into a basic service, and tokens are becoming a new digital resource.

Just as mobile internet was popularized twenty years ago by carriers selling data traffic, and cloud computing was booming ten years ago by vendors selling computing power, today, the standardization and bundling of tokens signifies that AI applications are poised for widespread adoption.

In the business world, the importance of a keyword often manifests first in brand competition.

In the past internet era, keywords like "Cloud," "Data," "Pay," and "Video" were fiercely contested by companies; however, in the AI ​​era, "Token" is becoming an increasingly important brand entry point.

The three major telecom operators have launched token packages, signaling the arrival of new AI infrastructure.

Because it's not just a technical term; it represents future scenarios such as AI computing power, model invocation, the intelligent agent economy, digital assets, and development platforms.

For AI infrastructure, agent platforms, model service providers, and even Web3 and computing power companies, owning a high-quality token brand domain name is itself a scarce digital asset.

Especially those domain names that are short, intuitive, and strongly industry-related; as AI commercialization accelerates, their value may be reassessed.

For example, the token-related domains currently for sale on DN.com include:

FirstToken.com – Suitable for token infrastructure, wallets, and model calling platforms, possessing brand recognition as the "first entry point";

MetaIToken.com – Naturally suited for AI + metaverse, intelligent agents, and digital assets;

AllToken.com – Extremely broad industry coverage, suitable for token aggregation platforms and AI service entry points;

GoodToken.com – A brand-friendly domain, suitable for products targeting the mass market;

GYToken.com, HXToken.com – Short character combinations, suitable for enterprise branding upgrades.

When operators start selling tokens, what's truly noteworthy may not just be a new package, but the beginning of a new era.

Because in the future, the unit for measuring the efficiency of the AI ​​world may no longer be just "data traffic," but tokens.

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