Abstract:Digital intelligence and its wide application in massive contexts are profoundly reshaping traditional industries and giving rise to new and future industries, becoming a key engine for promoting industrial intelligence and developing new quality productive forces. How to transcend the linear development mode of single-point technology, give full play to the main position of enterprise innovation, the advantages of China’s super-large-scale market and rich application contexts, and accelerate the innovation of digital intelligence has become a strategic and fundamental issue to accelerate the cultivation of new quality productive forces. This paper combines the characteristics of digital intelligence and innovation paradigm shift, takes context-driven innovation as the theoretical basis, discusses the theory and process logic of context-driven digital intelligence innovation, and puts forward a practical progression model of enterprise-led and context-driven digital intelligence, which is “imitation and reuse-internal diffusion-industrial radiation-capability leap-original leadership”. Further, taking the typical practice of leading enterprises in digital intelligence innovation as an example, the paper analyses how enterprises, as micro-market entities in developing new quality productive forces, can promote digital intelligence innovation and application with contexts, and continue to empower the emergence of new quality productive forces in the process of leapfrogging from following to leading. This paper expands the theoretical paradigm research on the management of digital intelligence innovation, and also provides important theoretical and practical insights for enterprises and decision-making departments to grasp the laws of digital intelligence innovation, promote the ‘Artificial Intelligence +’ action, improve the system for promoting the in-depth integration of the real economy and the digital economy, and improve the policy system for promoting the digital industrialization and industrial digitization, and accelerate the innovation of digital intelligence empowers the continuous emergence of new quality productive forces to provide important theoretical and practical insights.