人工智能驱动着生产关系的变革，在理论逻辑、现实需求与内生动因的共同驱动下，其影响从技术领域逐步向社会领域、基层社群蔓延。人工智能赋能基层治理数字社群新质生产力发展的独特优势，集中体现在3个核心层面：提升数字社群识别与需求响应的效率、推动社群互动与资源配置的协同增效、增强数字社群持续发展的前瞻性与稳定性。辩证地审视人工智能作为技术中介所蕴含的双重赋能力量，可从夯实技术底座与平台融合、优化数据治理与伦理规制、强化能力适配与推动模式创新等多个内在关联的实践环节协同推进，将人工智能的“智能变量”切实转化为基层治理的“转型增量”,推动基层治理数字社群在盘活存量资源、创造增量价值的过程中充分释放治理效能。

Artificial intelligence(AI) drives the transformation of production relations.Under the co-propulsion of theoretical logic, practical demands, and endogenous motivations, its influence gradually extends from the technological domain to the social sphere and grassroots communities.The unique advantages of AI empowerment for the development of new quality productive forces in digital communities at the grassroots governance level are mainly reflected in three core aspects: enhancing the efficiency of digital community identification and demand response, promoting the synergistic effectiveness of community interaction and resource allocation, and strengthening the foresight and stability of the sustainable development of digital communities.A dialectical examination of the dual empowering force embedded in artificial intelligence as a technological intermediary calls for coordinated advancement through multiple interlinked practical dimensions: strengthening the technological foundation and platform integration, optimizing data governance and ethical regulation, and enhancing capacity adaptation and model innovation, so as to translate AI′s “intelligence variable” into a genuine “transformational increment” for grassroots governance, thereby activating governance efficacy within grassroots digital communities via the dual process of existing resources revitalization and incremental value creation.