TLDR: At the 2025 World Artificial Intelligence Conference, Alibaba Cloud VP Ye Jieping announced that large AI models are experiencing an ‘explosive cycle iteration’ and the industry is shifting to an ‘Agent Priority’ era. This signifies a move from progressive innovation to exponential leaps in AI, driven by data, computing power, and algorithmic advancements, with intelligent agents becoming autonomous service carriers.
Shanghai, July 27, 2025 – During the ongoing 2025 World Artificial Intelligence Conference (WAIC) in Shanghai, Ye Jieping, Vice President of Alibaba Cloud, delivered a keynote address highlighting a pivotal transformation in AI model technology. Ye stated that the industry is moving from ‘progressive innovation’ to an ‘exponential leap,’ with large models demonstrating an ‘explosive cycle iteration’ trend this year. This marks a significant evolution from 2019, when discussions primarily focused on single-point breakthroughs in language models.
Ye Jieping emphasized that the current AI revolution is propelled by three fundamental elements: the explosion of data, advancements in computing power, and breakthroughs in algorithms. These factors are collectively positioning AI as the central driving force for technological development.
According to Ye, 2025 is set to be the inaugural year for the widespread implementation of intelligent agents. These enterprise-level agents are designed to transcend the limitations of traditional dialogue interfaces, establishing a robust foundation for complex task automation. This is achieved through an integrated ‘perception-decision-execution’ architecture, which will facilitate AI’s transition from merely enhanced search capabilities to becoming autonomous service carriers.
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The Alibaba Cloud VP further elaborated on the industry’s shift towards an ‘Agent Priority’ era. In this new paradigm, the interaction dynamic will fundamentally change, moving from humans adapting to machines to machines actively understanding and serving human needs. The core of this era lies in the agent’s capacity to autonomously complete intricate tasks and continuously evolve through ongoing interactions.
