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first_img OpenAI: The disparity in the intensity of enterprise AI usage in the European Union is significant

On October 14, the OpenAI Economic Research Team released a report stating that EU companies are expanding the use of AI with agent tools, no longer just asking questions to AI, but using agents to complete tasks from planning to execution. The report examines the growth of agent usage among large and small enterprises, differences in usage intensity, and the types of work people are accomplishing with ChatGPT.In a sample of EU clients using ChatGPT Enterprise, Codex and ChatGPT work currently contribute over half of the output tokens. Since May 2026, the number of weekly active users of Codex and ChatGPT work among EU small and medium-sized enterprises has increased to more than 8.1 times the original, with growth in all member states. The article defines small and medium-sized enterprises as those with no more than 200 associated users.The proportion of relevant output tokens in the sample is lowest in Slovenia at 22% and highest in Lithuania at 85%. Leading enterprises are defined as those ranking in the top 10% for output tokens per active user, with the sample including only ChatGPT Enterprise and ChatGPT Business accounts. In September, this metric for leading enterprises in the EU exceeded that of general EU enterprises by four times, while leading enterprises outside the EU still surpassed leading enterprises in the EU by more than twice, with companies headquartered in the EU accounting for only 10% of the world's leading enterprises.

The Inner Mongolia police in China are investigating a virtual currency money laundering case that used "free credit card repayment" as bait, involving nearly a thousand accounts

Recently, the police in Baotou, Inner Mongolia, China, investigated a virtual currency money laundering case. The criminal gang used "free credit card repayment" as bait to attract ordinary users to provide accounts. They received illicit funds from overseas gambling and fraud through false consumption, then contacted currency dealers to exchange for virtual currency and transferred it to designated addresses abroad. Through financial and on-chain data analysis, the police identified nearly a thousand involved accounts, with suspects distributed across Inner Mongolia, Shandong, Jiangsu, Hebei, Chongqing, and other regions.The Digital Currency Research Institute of the People's Bank of China stated that it is currently using large model technology to analyze the flow of funds in virtual currency transactions, restore the gang's trading patterns, and uncover clues related to illegal industries. Upon investigation, it was confirmed that seven members of the gang were illegally engaged in payment settlement business without approval from relevant national authorities, constituting the crime of illegal operation, and were sentenced to imprisonment ranging from one year and two months to two years and six months, along with fines.Using virtual currency for money laundering is a new type of money laundering crime that has emerged in recent years. Lv Wei, the president of the Inner Mongolia branch of the People's Bank of China, stated that enhancing the monitoring and identification capabilities for abnormal fund transactions related to virtual currency trading has helped successfully crack down on a major money laundering case involving virtual currency pyramid schemes, dismantling more than ten money laundering and points-running dens, and confiscating illegal gains of approximately 130 million yuan. In recent years, there have been coordinated efforts to promote the conviction and sentencing of four cases involving money laundering using virtual currency, forming a strong deterrent against illegal activities such as money laundering with virtual currency.
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