对话毕马威中国副主席刘建刚：人与AI如何一同迈向“混合智能”？

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) in Shanghai focuses on the evolution of human-AI collaboration and the concept of "hybrid intelligence" [1][9] - KPMG's recent survey, conducted in collaboration with the University of Melbourne, highlights significant trends in AI adoption globally, with a notable difference between developing and developed countries [2][3] AI Development Trends - AI technology usage has reached a high level, with 66% of respondents using AI regularly, and 38% using it weekly; developing countries show an 80% usage rate compared to 58% in developed countries [2][3] - The unique advantages of developing countries in AI adoption stem from policy support, a younger population more receptive to new technologies, and a low-resistance environment for innovation [3] AI in the Workplace - 58% of respondents use AI at work, with 72% in developing countries versus 49% in developed countries; concerns include data security and reduced human interaction [3] - AI's application in education is widespread, with 83% of students using AI, although there are concerns about its impact on critical thinking and trust in teacher-student relationships [3][4] Opportunities and Challenges - Companies must leverage AI to optimize operations, accelerate decision-making, enhance customer experience, and drive product innovation; the emergence of open-source models like DeepSeek democratizes AI access [5][6] - The future of AI is expected to shift towards application-driven value creation, moving beyond the current focus on computational power and algorithms [6] Industrial Transformation - AI is anticipated to transform industrial and business models, with significant cost reductions in AI applications, exemplified by a 20-fold decrease in costs due to new models [7] - China's manufacturing sector is experiencing significant upgrades through AI, aligning with the "Made in China 2025" initiative and the push for smart manufacturing by 2035 [7] Future Directions - The evolution of AI will lead to a "hybrid intelligence" model where humans define objectives and AI determines execution methods, enhancing collaboration [9] - The cost of AI is expected to decrease dramatically, potentially reducing knowledge disparities, although data sovereignty issues may pose challenges [9]