美欧亚AI监管路线各异 跨国企业如何在碎片化中寻找确定性？

Core Viewpoint - By 2025, global AI governance is becoming increasingly fragmented, with different regulatory approaches emerging across the US, EU, and Asia-Pacific regions, making AI governance a strategic priority for corporate boards [1][2]. Group 1: Regulatory Landscape - The regulatory environment for AI is highly complex and fragmented globally, with the US prioritizing innovation while the EU's AI Act is reshaping compliance frameworks for businesses [2][4]. - In the US, the Trump administration has implemented several executive orders aimed at reducing regulatory burdens on AI, viewing it as a core driver of national competitiveness [3][4]. - The EU has paused certain provisions of the AI Act and is shifting towards a differentiated regulatory model, focusing on data-intensive companies while providing exemptions for SMEs [4][5]. Group 2: Regional Differences - In Asia, countries like South Korea and Japan are adopting more business-friendly approaches to AI regulation compared to the EU's stringent measures, with South Korea's new law regulating high-risk AI without prohibitive categories [6][7]. - Australia and India have abandoned plans to implement AI laws modeled after the EU's AI Act, opting instead for a review of existing regulatory frameworks [7]. Group 3: Corporate Strategy and Compliance - Companies are increasingly recognizing AI as a critical issue in their reporting, with a 12% increase in mentions of AI in annual reports in the UK [8]. - Organizations are advised to establish comprehensive compliance plans and integrate effective governance structures at all levels to navigate the fragmented regulatory landscape [2][8]. - The OECD warns that regulatory fragmentation could lead to a global GDP loss of 4.5% and an 8.5% reduction in global exports, emphasizing the need for proactive governance in AI [8].