CADI Research Institute report: China's AI inference data volume surpasses training data for the first time, with average monthly token calls exceeding 175 trillion in June.

A report released yesterday by the CADI Research Institute titled 'Top Ten Trends in Innovation and Development of New Domains and New Quality' shows that China's artificial intelligence inference data volume has exceeded its training data volume for the first time, signaling a shift from model training and R&D to scaled industrial application. As of June 2026, average monthly token calls surpassed 175 trillion, representing an increase of over 1,000 times compared to early 2024. Domestic computing power and large models have been deployed in over 1,000 application scenarios across 20 industries including steel and automotive, with the cumulative construction of more than 500 excellent-level smart factories.