With the advancement of the dual transformation of intelligence and greening， manufacturing enterprises are actively exploring the new work mode of employee-AI collaboration. Despite the enormous potential of AI applications， the impact of employee-AI collaboration on green innovation in enterprises still presents a paradox of “twice the result with half the effort” or “twice the effort with half the effort” in the context of AI affordance. Based on the socio technical systems theory and the technology affordance theory， it took 350 intelligent manufacturing enterprises in the Yangtze River Delta and Pearl River Delta regions of China as samples， and used hierarchical regression analysis and mathematical derivation to analyze the impact of employee-AI collaboration on green innovation， and to test the direct and moderating effects of AI affordance on green innovation. The results indicate that employee-AI collaboration， autonomous affordance， and interactive affordance all have a significant positive impact on green innovation， and autonomous affordance and interactive affordance have an inverted U-shaped moderating effect on the relationship between employee-AI collaboration and green innovation. It innovatively reveals the complex relationship between employee-AI collaboration and green innovation in the context of AI affordance， and proposes a dual pathway of AI affordance on green innovation. The research further enriches the application of social technology system theory and technology affordance realization theory in the field of green innovation， providing theoretical support and practical guidance for intelligent manufacturing enterprises to achieve green innovation.