一定要把AI当回事

Core Viewpoint - The article emphasizes the necessity for companies to adapt to the AI era by defining what "good" means in the context of AI, and highlights the importance of AI innovators who create opportunities rather than compete with AI [1][6][8]. Group 1: AI Innovators and Their Role - AI innovators are defined as those who create jobs for AI rather than compete with it, positioning themselves as users who leverage AI to achieve goals and create value [6][9]. - The core task of AI innovators is to define value and ensure that AI enhances and realizes that value, rather than merely improving job skills [9][12]. - AI innovators serve as a bridge between AI productivity and commercial value, requiring skills in choice, judgment, and integration [9][16]. Group 2: Key Focus Areas in AI Application - Companies should focus on three key elements in AI application: identifying demand, producing effective outcomes, and ensuring quality, rather than solely on computational power, algorithms, and data [12][13][15]. - Quality is highlighted as the future core competitive advantage, with many AI products currently lacking stable high-quality output, leading to varied user experiences [15][18]. Group 3: Capability and Upgrade Maps - AI innovators need to possess four essential capabilities: AI leadership, AI cognitive ability, AI business acumen, and AI organizational skills [21][25]. - The career development in the AI era is categorized into four levels (L1-L4), with each level representing a significant increase in value and capability [25][26]. - The levels include: L1 - AI Supervisor, L2 - AI Manager, L3 - AI Leader, and L4 - AI Ecosystem Builder, with a clear progression in responsibilities and impact [26][28]. Group 4: Strategies for Mastering AI Capabilities - Companies are encouraged to adopt four strategies to enhance their capabilities: engaging with leading innovators, fostering team growth, achieving tangible results through practical applications, and understanding the commercial essence of AI [31][33][35]. - The essence of AI is described as a "silicon-based life" that evolves based on biological principles rather than traditional mechanistic views, emphasizing the need for personalized services over standardized products [35][41]. Group 5: Future Directions and Market Opportunities - The future of AI is expected to align more closely with human evolution, with a focus on education and collaboration to enhance capabilities [41][43]. - Companies should prepare for rapid AI development and create job opportunities for AI, recognizing the dual roles of creating and utilizing intelligence [45][48].