As the "AI Plus" initiative emerges as a key engine driving new quality productive forces, China's AI market is shifting from being "technology-driven" to "value-driven," according to professor Zhang Ying, vice dean of the Guanghua School of Management at Peking University. Zhang made the remarks at a seminar on China's economic situation and policy analysis held in Beijing on March 14.

The shift is reflected in China's government work report this year, which for the first time mentioned "launching an AI Plus initiative." This marks the country's transition from focusing on technological breakthroughs to concrete implementation and application of AI technology, empowering the entire chain from R&D to scenario application and industrial development, Zhang said.

To pave a path for the development of large models with Chinese characteristics, Zhang emphasized the importance of integrating AI into business processes and product functionalities. This would allow for a faster identification of opportunities for industrial development.

In terms of implementing the AI Plus initiative, the professor recommended carefully assessing the technological and business impacts of AI Plus applications, empowering key areas with AI, avoiding overexpectations in the short term, and focusing on real-world application and market needs. 

He also highlighted the importance of market testing, noting that while government procurement can provide initial support, the real test of innovation lies in the broad market, where products will be evaluated.

In addition to the four recommendations, Zhang emphasized the importance of increasing residents' income, which he sees as essential for expanding market demand. Greater consumer purchasing power would allow more individuals to access advanced technology, thereby promoting the development of high-quality products and services and enabling AI to reach its full potential.

Furthermore, attention should also be paid to the investment cycle and talent cultivation in AI. Zhang noted that the industrial integration of AI requires continuous investment and patience. "Long-term, stable support from both the government and private sector is essential for overcoming R&D and application challenges. Such investment and research are key to ensuring steady technological progress and addressing emerging issues," he said.

Talent is the key to winning the competition in AI. Zhang pointed to China's renewed focus on invigorating China through science and education in its 2024 government work report.

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