AI重新定义“我” 与AI交融后,每个人都能成为科学家| 36氪 WISE2025 商业之王大会
3 6 Ke·2025-12-02 07:50

Core Insights - The WISE 2025 conference in Beijing emphasizes the transformative impact of AI on various industries, showcasing a shift from traditional industry summits to immersive experiences that highlight technological advancements and their implications for business practices [1] Group 1: AI for Science - AI for Science is a concept introduced in 2018, aiming to leverage AI for scientific discoveries, potentially creating AI systems that can autonomously conduct scientific research [5][6] - The ultimate goal of AI for Science is to streamline scientific research into a production-like process, enabling the generation of high-value scientific outcomes efficiently [8][9] - The integration of AI in scientific research is expected to lower barriers to entry, allowing more individuals to participate in scientific endeavors, thus democratizing knowledge and research [10][18] Group 2: Market Potential and Investment - The global investment in scientific research is approximately $2.8 trillion, with China contributing around 3.6 trillion RMB, indicating a significant market potential for AI applications in science [22] - The AI for Science sector is viewed as a lucrative market, with opportunities for startups to innovate and capture value, despite the challenges posed by larger corporations [19][20] - The potential for AI to enhance scientific research efficiency could lead to a surge in new scientific knowledge and innovations, creating a robust ecosystem for commercial applications [21][22] Group 3: Future Outlook - By 2035, it is anticipated that millions of individuals could actively participate in scientific research, transforming the landscape of scientific discovery and innovation [25] - The development of foundational infrastructure for AI in science is crucial, as it will support downstream scientific advancements and discoveries [16][17] - The expectation is that a significant portion of scientific achievements in the next decade will be driven by AI, indicating a paradigm shift in how scientific research is conducted [30]