Structural factors shaping China-US AI competition reveal deeper global tech dynamics
Original framing: “How to assess China’s real chance of winning AI race against US” — South China Morning Post
Scientific analysis of AI development shows that while the US leads in foundational research and large-scale computing, China has made significant progress in applied AI and government-led innovation. However, both face challenges in data privacy and algorithmic bias.
The AI competition between China and the US is deeply embedded in global power structures that prioritize Western economic and technological dominance.
Historical patterns of colonial knowledge extraction and current trade restrictions shape the AI landscape, limiting opportunities for equitable innovation. Indigenous and non-Western perspectives offer alternative frameworks for AI development that emphasize ethics, sustainability, and community well-being. A systemic approach must include global governance reforms, open-source collaboration, and the inclusion of marginalized voices to ensure that AI serves the common good. By integrating diverse knowledge systems and fostering international cooperation, we can move beyond the binary of national competition and build a more inclusive AI future.