Desheng Wang, PhD, is a mathematician and philosopher whose work bridges computational science, artificial intelligence, education innovation, and civilizational theory. He is best known for proposing SIO Ontology (Subject-Interaction-Object Ontology), a co-generative framework that replaces subject-object dualism with integral SIO wholes that emerge, stabilize, and transform through interaction. In Thought Oligarchs: Who Controls Wealth in the Age of AI, Wang extends this ontology into a practical diagnosis of the new wealth pyramid: when AI makes output cheap, the scarce resource becomes wise new ideas-those that can redefine questions, rebuild coordinates, and open viable paths. He argues that the AI era will increasingly polarize individuals and institutions into two structural outcomes: involution (high-effort meaning loss) and lying flat (low-effort meaning loss), unless they acquire the capacity to generate and productize wisdom at scale. Wang's scientific formation is rooted in advanced mathematical training and long-term research in computational mathematics and complex systems. He studied mathematics at Xiangtan University (BSc, 1990-1994; MSc, 1994-1997), pursued doctoral studies at the Chinese Academy of Sciences (1997-2001), completed postdoctoral research in computational mathematics (2001-2003), held research appointments in the United Kingdom (2003-2005), and later worked for over a decade at Nanyang Technological University in Singapore as a senior research scientist and doctoral supervisor, publishing widely on numerical methods, mesh generation, and geometry processing. A defining feature of Wang's trajectory is the integration of scientific formalism with philosophical generativity. In his view, modern science can achieve impeccable form while drifting toward meaning anemia, and modern philosophy can preserve depth of experience while lacking operational structure.

To bridge this split, he developed a Three-Law model of generativity-Creation Law, Freedom Law, and Happiness Law-describing how new structures emerge, how possibilities become viable paths, and how tension is transformed into sustainable¿¿ through release and stabilization. This program underlies his broader work on human-AI co-creation, where AI is treated not as a replacement subject but as a catalytic engine for accelerating the formation of new structures. Across his writing, Wang's central aim is consistent: to turn abstract thought into executable frameworks that help individuals, organizations, and societies rebuild meaning, capability, and freedom.