Core Insights - The article emphasizes that in the era of generative AI, AI is fundamentally restructuring productivity and business logic, with deep applications of GEO and intelligent agents becoming the core engine for companies to achieve growth [1] Group 1 - Generative AI is transforming the foundational aspects of productivity and business operations [1] - The integration of GEO and intelligent agents is highlighted as essential for driving corporate growth [1]

Core Insights - The AI application landscape is becoming increasingly clear, attracting investors to explore new commercial pathways and value realization opportunities [1] - The upcoming event on January 30, 2026, organized by Yicai, will focus on "AI New Productivity," bringing together experts from academia, industry leaders, and investment elites to discuss the underlying logic of AI's commercial value [1] Group 1: Event Overview - The event is hosted by Yicai and co-hosted by the China Europe International Business School's AI and Management Innovation Research Center and Plug and Play China, with special support from Jiufang Zhitu [3] - The event will address the migration of business infrastructure driven by AI, emphasizing the need for companies to reconstruct their knowledge systems to adapt to AI utilization [3] Group 2: Key Themes - The transition from "AI being seen" to "AI executing" is a core theme, highlighting the necessity for companies to build trust in AI and accelerate the adaptation to the Agent ecosystem [3] - Industry experts will analyze the paradigm shift from "humans seeking information" to "AI delivering services," discussing how to reconstruct brand marketing logic in the era of generative large models [3][4] Group 3: Collaborative Discussions - The AI industry ecosystem will convene for roundtable discussions to explore the collaboration and integration within the AI marketing commercial ecosystem [5] - The event aims to provide insights for corporate decision-makers, product leaders, and investment institutions to discover scalable paths for AI new productivity and capture commercialization opportunities [5]