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    🇨🇳China·AI News·18 Jul 2026·via SCMP

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

    Chinese tech giants are increasingly relying on AI tokens as an internal corporate currency to power their artificial intelligence operations. These tokens, which cannot be used for traditional purchases like coffee or rent, are consumed in staggering volumes by employees for AI-related tasks. One ByteDance employee in Beijing reported burning through nearly a billion units monthly, a figure that still doesn't place him at the top of his department's consumption rankings. This highlights a significant shift in how large technology companies are managing and incentivizing AI development and resource allocation internally. The rise of these tokens signals a new era for corporate resource management within the rapidly expanding AI sector.

    Nexa's Summary

    The emergence of AI tokens as an internal corporate currency within China's tech giants signifies a profound shift in how these companies manage and scale their AI capabilities. This system allows for granular allocation and tracking of computational resources, effectively creating an internal marketplace for AI processing power. For Asia's tech ecosystem, this model could become a blueprint for other large enterprises looking to optimize their AI investments and foster internal competition for resources, potentially accelerating innovation cycles.

    This trend also highlights the immense computational demands of advanced AI development and the strategic importance companies place on controlling these resources. It could lead to new internal incentive structures and performance metrics tied directly to AI token consumption and output. Furthermore, it underscores China's leadership in integrating AI deeply into corporate operational frameworks, potentially giving its tech giants a competitive edge in the global AI race by streamlining resource access and encouraging widespread AI adoption among employees.

    Original reporting by SCMPWe don't republish, read the full story →

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