Opinion: Open source models account for only 10% of enterprise large-scale model spending, but mature production environments will be dominated by open source models.
Related
Some large-scale AI models in China are 90% cheaper than those in the US; Chinese AI's high cost-effectiveness is capturing the US market.
According to a report by CNBC on July 7th, influenced by the continued price increases of models from leading US AI vendors, Chinese AI large-scale models are rapidly expanding their application scale in US enterprises due to their cost-effectiveness advantage. Industry insiders point out that the performance of some leading open-source and open weighted models in China is currently about 6 to 9 months behind the technology of top-tier US models such as OpenAI and Anthropic, while the price is 60% to 90% lower, and they can cover the vast majority of routine AI tasks, thus gaining popularity among US enterprises. According to statistics from the AI model aggregation platform OpenRouter, since February 8th of this year, the proportion of Chinese AI models used by US enterprises has exceeded 30% weekly, reaching a peak of 46%; while the average proportion in the previous 12 months was 11%. Another industry statistic shows that in the first week of the launch of Zhipu's latest large-scale model GLM 5.2, the daily average number of word calls increased by 27 times and the number of customers increased by 80 times, making it the fastest-deployed model on the platform in 2026; US AI startup Lindy has significantly reduced costs after switching all its AI business to DeepSeek models, and expects to save millions of dollars within a few months. (CCTV Finance)
Ministry of Human Resources and Social Security: By 2030, the large-scale model of the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound.
According to Mars Finance, the Ministry of Human Resources and Social Security, the National Development and Reform Commission, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "Implementation Opinions on Accelerating the Application and Development of 'Artificial Intelligence + Human Resources and Social Security'". A relevant official from the Ministry of Human Resources and Social Security answered reporters' questions regarding the "Implementation Opinions". In terms of promoting the work, a three-step work goal will be achieved within five years. First, building the foundation. Taking this year (2026) as a benchmark, the initial formation of the artificial intelligence application system, standard system, and guarantee system in the human resources and social security sector will be promoted. The infrastructure for "Artificial Intelligence + Human Resources and Social Security" applications will be deployed, a number of high-performance human resources and social security industry large-scale models and intelligent agent applications will be cultivated, and about 20 application scenarios based on human resources and social security industry large-scale models and corresponding high-quality datasets will be created, forming a collaborative development ecosystem of computing power, models, data, and scenario applications. Second, popularization and promotion. By 2027, a number of human resources and social security industry large-scale models and intelligent agents will be widely applied, and about 50 high-value application scenario empowerment paths will be explored, achieving significant results in intelligent development. Third, widespread application. By 2030, high-quality datasets will be effectively supplied, large-scale models for the human resources and social security industry will be mature and complete, and the artificial intelligence application system will be basically sound, forming an innovative landscape where artificial intelligence is widely applied in the human resources and social security sector. (Cailian Press)
By 2025, the industrial scale of Shanghai's large-scale AI enterprises will exceed 637 billion yuan, representing a year-on-year increase of 39.5%.
According to Mars Finance, Chen Jie, Standing Committee Member of the Shanghai Municipal Committee and Vice Mayor of Shanghai, introduced the latest developments in Shanghai's artificial intelligence industry at a press conference held by the Shanghai Municipal Government on July 7. He stated that by 2025, the total scale of Shanghai's 394 large-scale artificial intelligence enterprises exceeded 637 billion yuan, a year-on-year increase of 39.5%, making it a new driving force for Shanghai's economic growth. Currently, Shanghai has established a complete development ecosystem integrating independent innovation, application-driven development, open cooperation, ecological collaboration, and security governance. (Cailian Press)
The adoption rate of artificial intelligence in my country's large-scale industrial enterprises has exceeded 30%.
According to Mars Finance, the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global Governance of Artificial Intelligence will be held in Shanghai from July 17th to 20th. Gan Xiaobin, Deputy Director of the Science and Technology Department of the Ministry of Industry and Information Technology, stated at a press conference in Shanghai on July 7th that the total annual output of humanoid robots is expected to exceed 100,000 units this year. Manufacturing is the main battleground for the application of artificial intelligence. Currently, the application rate of artificial intelligence in my country's large-scale industrial enterprises has exceeded 30%, and humanoid robots are beginning to "enter factories and workshops." The Ministry of Industry and Information Technology is currently working with various parties to implement special actions such as "Modal-Digital Resonance" and "Humanoid Robots and Embodied Intelligence Real-Scene Training" to explore high-value application scenarios. During the conference, the China-BRICS Artificial Intelligence Development and Cooperation Center will release the "International Artificial Intelligence Ethics Governance Action Plan." (Cailian Press)
Sources say OpenAI, Anthropic, and Google are offering hefty computing power subsidies to startups to compete for enterprise clients.
According to a report by Odaily Odaily, citing sources cited by The Wall Street Journal, OpenAI, Anthropic, and Google are offering startups hundreds of thousands of dollars worth of computing resources and other incentives to attract new enterprise customers. (Jinshi)
Myanmar's AI-driven telecom fraud industry exposed: Starlink becomes key infrastructure, encrypted payments and OpenAI/Google models incorporated into toolchains.
A leaked investigative report from a Myanmar scam Odaily park reveals that global telecom fraud is rapidly evolving towards an "AI industrialization + cross-border encrypted payment" system. These fraud networks use cryptocurrencies to transfer funds and employ automated tools based on large models for multilingual script generation, identity spoofing, and emotional manipulation. The investigation shows that these systems heavily utilize OpenAI's ChatGPT and Google's Gemini to support "large-scale social media fraud," while funds are rapidly laundered and transferred through on-chain payments and cross-border channels, forming a two-tiered structure of "AI customer acquisition + encrypted settlement," enabling the fraud industry to achieve high automation and transnational expansion capabilities. Furthermore, Elon Musk's Starlink has become the leading network service provider in the Myanmar scam industrial park, with US ISPs handling nearly one-fifth of the park's traffic. In response to the allegations, OpenAI stated that fraudsters using ChatGPT behave in a manner highly similar to ordinary users, making identification difficult. However, they have been using behavioral pattern recognition and risk control systems to ban approximately 100,000 suspicious accounts monthly. Google stated that its AI models have security safeguards in place and emphasized its commitment to "responsible AI development" to limit the use of tools for fraudulent and other illegal purposes. (Red Star News)