The rapid development of artificial intelligence (AI) makes humans no longer the only subject of knowledge generation, so how to achieve effective collaborative learning between humans and AI becomes a focal issue. In the case practice of human-AI synergy to achieve organizational learning, we explore the mechanism of the impact of adding AI subjects on the existing organizational learning approach. Based on a multi-subject modeling and simulation approach, we find that: 1) When environmental dynamics are not taken into account, there is a substitution effect of high learning ability AI on organizational members in the organization. On the one hand, the exploratory learning needs of organization members are weakened, and on the other hand, the exploitative learning of organization is replaced. 2) The degree of collaboration between human and AI has a nonlinear effect on organizational knowledge level. When the organization is dominated by exploitative learning, the growth rate of organizational knowledge level will slow down gradually with the increase of synergy degree. When the organization is based on exploratory learning, only a higher degree of collaboration can improve organizational knowledge. 3)In the scenario of high uncertainty, high learning ability AI has complementary effect with organization members. The improvement of the organization""s knowledge level depends on more exploratory learning by the organization members, and the new knowledge generated by the cooperation between the organization members and AI needs to be quickly transformed into the organization""s routine. This paper breaks through the implicit assumption that human is the only learner in an organization, and reveals the characteristics and rules of collaborative learning between human and AI in different scenarios based on simulation, which provides enlightenment for promoting the rational allocation of scarce resources and the improvement of organizational learning performance in the era of digital economy.