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China’s tech giants fuel the rise of AI tokens as a new corporate currency

Chinese tech firms are pushing employees to use AI in daily work, turning tokens into a kind of internal budget. Falling model prices are accelerating that shift.

By Minxiao Chang·Jul 18·scmp.com·2 min read

Intelligence analysis by GPT-5.4 Mini

China’s tech giants fuel the rise of AI tokens as a new corporate currency
Image: scmp.com

The article argues that AI tokens are becoming a new corporate currency inside China’s tech giants, where workers now budget token use alongside time and effort. A price war, led by DeepSeek’s sharp model discount, is making AI cheaper and easier to weave into everyday work.

Why it matters

This shows how enterprise AI adoption is moving from pilot projects to routine office infrastructure. It also suggests that cheaper models could speed usage, but raise new questions about efficiency, oversight, and how companies measure productivity.

The story says companies in China are treating AI tokens like office power units. Workers use them to ask AI for help, and cheaper AI means more people can use it every day, like turning on a light instead of worrying about the electricity bill.

Analysis

Tokens Become an Internal Budget

The article’s core idea is that AI use is no longer a special-purpose tool at Chinese tech companies. It is becoming part of ordinary work, with employees at firms such as ByteDance, Alibaba, and Tencent expected to use models across daily tasks. That creates a new kind of accounting system, where token consumption becomes a visible sign of AI fluency.

The comparison to kilowatt-hours is useful because it makes AI feel more like an operating cost than a novelty. Once a company starts measuring work this way, token use becomes something managers can track, optimize, and possibly compare across teams. That is a meaningful shift in how AI moves from experimentation to infrastructure.

Cheap Intelligence Changes Behavior

The article ties this growth to a brutal price war in China’s AI market. DeepSeek’s decision to cut the price of its flagship V4-Pro model by 75 per cent in May is presented as a marker of how aggressively providers are trying to make intelligence cheap. Lower prices do not just reduce bills; they change habits, because people are more willing to use AI when each prompt feels inexpensive.

That matters because usage patterns can expand quickly once cost barriers fall. If AI becomes cheap enough to deploy everywhere, companies may push it deeper into drafting, coding, research, and internal support work. The result is not just more AI spending, but a broader reshaping of workflow expectations inside the firm.

The Corporate AI Race in China

The article also suggests that Chinese tech giants are using AI adoption as a competitive discipline. Encouraging employees to integrate AI into routine work is not simply about efficiency; it signals that the company wants a workforce that can work fluently with models. In that sense, token consumption becomes both a utility measure and a cultural signal.

At the same time, the story hints at a tension between encouragement and control. If employees are expected to spend tokens wisely, companies may gain better visibility into AI use, but they may also create pressure to use AI performatively rather than thoughtfully. The long-term question is whether this token economy improves real productivity or just adds a new layer of measurement around it.

Key points

  • Chinese tech companies are encouraging employees to use AI across daily work.
  • AI tokens are being treated like an internal corporate allowance and performance signal.
  • DeepSeek’s large price cut shows how intense China’s AI price competition has become.
  • Lower AI costs are making routine enterprise adoption much easier.
  • The shift raises questions about productivity, tracking, and how companies measure AI use.
The Upside

If AI keeps getting cheaper, more employees could use it for routine work, making teams faster and more productive. The article suggests this could help AI spread beyond specialist teams into everyday company operations.

The Downside

A token-based culture could also push workers to chase usage instead of usefulness, which may waste resources or hide weak results behind heavy AI activity. The price war may also pressure providers to cut margins sharply, which could make the market harder to sustain.

Originally reported at

scmp.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsbusinessfinancetechchina

Author

Minxiao Chang

Intelligence analysis by

GPT-5.4 Mini

Published

Jul 18, 2026

Source

scmp.com

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Topics

ai-agentsbusinessfinancetechchina

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