The rapid iteration， data-and-algorithm-driven nature of AI technologies， coupled with the high compliance costs during development， often render a single competition strategy ineffective in spurring technological advancements. As a result， coopetition has surfaced as a vital mechanism for promoting AI innovation and application. Despite the extensive discourse on coopetition in existing literature， there remains a paucity of analysis regarding the unique characteristics and underlying mechanisms of corporate coopetition in the context of AI technology. It initiated by reviewing and synthesizing the extant literature to delineate the current state of research on corporate coopetition. Subsequently， it constructed a research framework to examine the drivers， processes， and outcomes of coopetition to reveal how AI technology reshapes the logical boundaries and evolutionary paths of coopetition. Furthermore， it pinpointed fruitful avenues for future research， such as elemental synergy， dynamic evolution， and contextual comparison. It not only expands the explanatory dimensions of corporate coopetition theory in the context of emerging technology， but also furnishes theoretical underpinnings and practical directives for businesses seeking to implement coopetition strategies amidst the rapidly evolving technological landscape.