Premier Li Qiang's Government Work Report, presented on March 5, 2025, committed to advancing the AI Plus initiative, which aims to integrate digital technology with manufacturing and promote the use of large model applications.

During China's annual 'two sessions' in March 2025, national legislators and political advisers in Shanghai emphasized the need for a stronger focus on foundational AI research to bolster the nation's capabilities in basic theories and algorithm development.

Despite Shanghai's advancements in the AI industry, legislators pointed out significant weaknesses in the country's basic AI theory and original algorithm research when compared to global leaders in technology.

Jin Li, president of Fudan University, reported on reforms in AI education designed to create an intelligent teaching environment that equips students with the skills necessary to master and innovate AI tools.

A World Economic Forum report forecasts a 40% increase in global demand for AI jobs by 2027, while McKinsey predicts a talent gap of 4 million in China by 2030.

NPC deputies believe that government support for computing power and data deployment is crucial for fostering growth and innovation in the AI industry.

These discussions highlighted the importance of improving theoretical research, top-level planning, and the creation of high-quality data sets in AI.

The focus remains on strengthening theoretical research in AI data science, enhancing coordination for key technology innovation, and building high-quality data sets.

Fang Shouen from Tongji University described AI as essential for socioeconomic development and a vital competitive area in the global technology landscape.

In 2024, NPC deputy Mei Bing led a study that underscored weaknesses in China's AI theoretical exploration and the development of large-scale models.

Li's plans for the AI industry include the development of new-generation intelligent terminals, smart manufacturing equipment, and AI-enabled vehicles and devices.

Gu Xianglin, a National People's Congress deputy and professor at Tongji University, stressed that top-tier universities in Shanghai should spearhead AI innovation due to their concentration of talent and resources.