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Beijing ramps up computing power to boost ‘token economy’ in tech race with US

Beijing plans to significantly increase its intelligent computing power, aiming for over 130,000 petaflops by the end of 2026, to boost its 'token economy' and accelerate AI adoption.

By Iris Deng and Ben Jiang·Jul 22·scmp.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

Beijing ramps up computing power to boost ‘token economy’ in tech race with US
Image: scmp.com

The Chinese capital is aggressively expanding its computing infrastructure and implementing new policies to establish itself as a national 'AI highland.' This initiative is part of a broader strategy to integrate artificial intelligence into traditional industries, stimulate economic growth, and gain an edge in the global tech race against the United States.

Why it matters

This development signals China's intensified commitment to AI leadership, directly impacting the global tech rivalry with the US and potentially reshaping the landscape of AI infrastructure and innovation.

Imagine Beijing is building a super-duper brain for computers, like giving them a huge calculator that can do a trillion sums every second! They want to use this brain to make everything smarter, from factories to phones, so China can be really good at making new tech, especially compared to places like America. They're even trying to build their own special computer parts so they don't have to rely on others.

Analysis

Beijing's Ambitious Compute Expansion

Beijing is making a substantial investment in its computing infrastructure, with plans to add 50,000 petaflops of intelligent computing power in the latter half of 2026. This aggressive target will push the city's total capacity beyond 130,000 petaflops by year-end, building on a 22,000-petaflop increase in the first six months of the year. This surge in compute capacity is a foundational element of Beijing's strategic ambition to become a national 'AI highland,' positioning itself as a leading hub for artificial intelligence development and application within China.

This massive scaling of computing power is not merely about raw processing capability; it underpins the country's broader push to integrate AI into various traditional industries. The goal is to leverage advanced AI to spark new economic growth and enhance industrial efficiency. Such an investment highlights the central government's recognition of computing power as a critical national resource in the ongoing technological competition.

Fostering a 'Token Economy'

The concept of a 'token economy' in this context refers to Beijing's efforts to accelerate AI adoption across key industries through policy and infrastructure. While the article does not explicitly define 'token economy' in detail, it implies a system where AI-driven applications and services are integrated into economic activities, potentially using digital tokens or similar mechanisms to facilitate transactions, data sharing, or resource allocation within AI ecosystems. This approach aims to create a vibrant environment where AI technologies can be rapidly developed, deployed, and monetized, driving innovation and economic value.

By boosting this 'token economy,' Beijing seeks to create a self-sustaining cycle of AI development and application. The idea is that as more industries adopt AI, the demand for computing power and AI-focused solutions will grow, further stimulating investment and innovation in the sector. This strategy is crucial for China as it seeks to reduce its reliance on foreign technology and establish domestic leadership in critical AI domains.

Strategic Independence with RISC-V + AI OS

A key component of Beijing's strategy for technological independence is its aim to foster an open-source 'RISC-V + AI OS' ecosystem. RISC-V is an open-standard instruction set architecture (ISA) that offers a significant alternative to proprietary Western chip technologies like Arm and Intel's x86. By pairing AI-focused operating systems with RISC-V, Beijing intends to build a full-stack framework that spans from the foundational chip architecture all the way up to advanced applications.

This initiative is a direct response to geopolitical pressures and the ongoing tech race with the United States, which has seen restrictions placed on China's access to advanced semiconductor technology. Developing a robust, open-source domestic ecosystem around RISC-V allows China to mitigate these dependencies, ensuring a secure and sovereign supply chain for its AI ambitions. This strategic move could have long-term implications for global semiconductor markets and the future of open-source hardware development.

Key points

  • Beijing plans to increase its intelligent computing power to over 130,000 petaflops by the end of 2026.
  • This expansion is part of Beijing's ambition to become a national 'AI highland' and integrate AI into traditional industries.
  • The city aims to boost a 'token economy' to accelerate AI adoption and stimulate new economic growth.
  • Beijing is fostering an open-source 'RISC-V + AI OS' ecosystem to build a full-stack tech framework.
  • This strategy is a key move in China's tech race with the US, aiming for technological independence.
The Upside

The significant increase in computing power and strategic focus on a 'token economy' could propel China to the forefront of global AI innovation, fostering new industries and substantial economic growth. Developing an open-source RISC-V ecosystem could also enhance technological sovereignty and drive diverse hardware and software advancements.

The Downside

Despite ambitious targets, challenges in acquiring cutting-edge chip technology and integrating complex AI systems could hinder Beijing's progress. The intensified tech race with the US might lead to further trade restrictions, potentially disrupting supply chains and slowing down the development of China's AI capabilities.

Originally reported at

scmp.com

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

Tagsaitechpolicychinaunited-statesglobal-newshardwareregulation

Author

Iris Deng and Ben Jiang

Intelligence analysis by

Gemini 2.5 Flash

Published

Jul 22, 2026

Source

scmp.com

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Topics

aitechpolicychinaunited-statesglobal-newshardwareregulation

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