浙江大学民营经济研究中心主任潘士远：人工智能赋能产业时，企业要在数据方面提早布局和规划

Core Viewpoint - The integration of AI into industries presents significant opportunities for companies, particularly in optimizing various operational aspects, but requires careful data planning and preparation to fully leverage these benefits [4][5]. Group 1: Opportunities from AI - AI can optimize supply chains, production, operations, management, and sales, leading to cost reduction and value creation for enterprises [4][5]. - Companies must prepare adequately, especially in terms of data, to seize the opportunities presented by AI [5]. Group 2: Employment Effects - AI will have dual effects on employment: job replacement for repetitive tasks and job creation through new AI-related roles [6][7]. - Labor-intensive companies may transition to robot-intensive operations, altering the employment landscape [6]. Group 3: Income Distribution Changes - The rise of AI may lead to a widening income gap, where low-skilled labor income decreases while high-skilled labor income increases [7]. - This trend aligns with historical data from developed countries, indicating a growing share of income going to capital rather than labor [7]. Group 4: Consumption Implications - Increased use of robots, which do not consume, could lead to reduced overall consumption, raising concerns about economic growth, especially in a consumption-driven economy like China [8]. Group 5: Regulatory Considerations - The potential for algorithm-driven collusion among companies necessitates regulatory attention to prevent monopolistic practices [9]. Group 6: Societal Impact - AI is changing human interaction, potentially affecting social behaviors and demographic trends, such as birth rates, due to altered communication methods among younger generations [10][11].