Core Viewpoint - The 2025 Beijing Cultural Forum emphasizes the integration of technology and culture, exploring how technological advancements can enhance cultural originality and heritage preservation [1][7]. Group 1: Technology and Cultural Heritage - The forum featured discussions on the project "Chinese Historical Painting Series," which aims to systematically organize and protect ancient Chinese painting heritage, involving over 12,500 pieces from more than 200 museums worldwide [3][4]. - Advanced technologies such as high-resolution imaging and digital processing are utilized to catalog and preserve ancient artworks, addressing threats like fading and deterioration [3][4]. - The use of traditional film cameras, despite the prevalence of digital technology, is highlighted for its superior color depth and image quality in preserving cultural artifacts [4]. Group 2: Cultural Originality and Modern Interpretation - Cultural originality is viewed as a blend of tradition and modernity, with examples like Chinese shadow puppetry evolving through digital animation and projection technology [5]. - The forum discusses the importance of protecting cultural heritage while also reinterpreting it for contemporary audiences, showcasing how technology can facilitate this process [5][6]. - New humanistic thoughts are encouraged to respect collective interests while affirming individual value, aligning with technological advancements and ethical considerations [6]. Group 3: Future of Cultural Creation - The future of cultural originality is seen as a collaborative effort between humans and AI, with potential for a new renaissance in artistic expression through human-AI interaction [6][7]. - The role of technology is not just as a tool but as a powerful engine driving cultural innovation, reshaping the landscape of artistic creation [7].

Core Insights - Artificial intelligence (AI) is projected to impact 40% of global jobs, with the figure rising to 60% in developed economies, indicating a significant transformation in the workplace driven by digitalization [1] - The International Monetary Fund (IMF) highlights that the digital transformation led by AI is reshaping the job market, causing anxiety among employees in non-corporate sectors [1] Group 1: Digital Transformation in the Workplace - The workplace environment is being reshaped by digital waves, with knowledge-intensive and communication-intensive roles facing the highest risk due to their overlap with AI capabilities [2][4] - Jobs requiring physical labor, machine operation, or direct interpersonal interaction have the least overlap with AI capabilities, suggesting a layered impact of AI on employment [4] Group 2: Shifting Mindsets - Resistance to change is common during digital transformation, and addressing fear is the first step in overcoming this resistance [5] - AI is not expected to completely replace human jobs; rather, it will change how work is executed, emphasizing a new paradigm of "human-machine collaboration" [7] Group 3: AI Skill Acquisition - By 2025, there is an anticipated talent gap of 4 million in AI, making the acquisition of AI skills essential for maintaining workplace competitiveness [8] - Employees without a technical background can start learning AI skills progressively, focusing on basic application abilities and obtaining industry-recognized AI certifications like CAIE [10][12] Group 4: Continuous Learning and Application - AI training tools, such as the "Learning Strong" application, have shown significant effectiveness in employee training, with measurable improvements in performance metrics [15] - Practical application of learned AI skills is crucial, with recommendations to start with small tasks and maintain a record of learning and achievements [18][19] Group 5: Demonstrating Value - Showcasing personal value during digital transformation is vital, with management's demonstration of AI tool usage influencing employee behavior [20] - Sharing successful experiences and methods after improving work efficiency through AI can enhance professional image and create more career opportunities [20] Group 6: Real-World Examples - The implementation of AI in training at Jiangnan Rural Commercial Bank has led to a 32% reduction in training cycles and a 28% increase in assessment pass rates, illustrating the tangible benefits of AI integration [22]

除主题演讲外，Tech World @ CES还将汇聚科技领袖、合作伙伴与艺术家，联袂打造唯有Sphere科技巨 蛋才能呈现的沉浸式视听奇观。完整嘉宾阵容将于2025年内陆续公布。 "过去十年间，联想创新科技大会是联想集团发布战略愿景、展示创新成果、推出重磅解决方案的核心 舞台，"联想集团董事长兼CEO杨元庆表示，"在CES 2026上，我们将首次披露联想技术如何重塑世界一 级方程式锦标赛F1®赛事体验，并揭晓我们明年夏季与FIFA国际足联共同打造的'首届AI世界杯'。同 时，我们还将展示联想为个人用户打造的高度个性化的智能体专属体验，以及基于联想混合式人工智能 的强大优势赋能企业客户的解决方案。拉斯维加斯Sphere与联想的理念完美共鸣——在这里，我们将以 科技连接彼此、激发灵感、创造可能，推动人工智能惠及所有企业和个人。" "作为全球标志性的创新地标，Sphere是前瞻性品牌打造颠覆性体验的绝佳舞台。"Sphere主席兼首席运 营官Jennifer Koester表示，"我们深感荣幸，不仅能在CES中与联想集团携手实现创新愿景，更将运用借 力联想的前沿技术，为每场Sphere盛会缔造前所未有的沉浸体验。" ...

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]