<![CDATA[Artificial intelligence (AI) and generative AI are reshaping business operations by enabling Hybrid Intelligence, in which human judgment and machine intelligence are mobilized for organizational decision-making. Yet prior research remains fragmented, emphasizing automation, efficiency, and digital transformation more than the mechanisms through which humans and AI collaborate, how leadership roles change, and how such collaboration should be governed, particularly in the Vietnamese enterprise context. This study develops an integrative synthesis of the literature on Hybrid Intelligence, digital leadership, and AI-enabled business governance. An integrative literature review was conducted using structured document screening inspired by PRISMA guidelines. Publications from Scopus, Web of Science, Dimensions, Google Scholar, and PubMed were reviewed for the period 2016–April 2026. The synthesis shows that Hybrid Intelligence emerges from the complementary integration of AI’s capabilities in data processing, prediction, pattern recognition, and knowledge acceleration with human critical reasoning, strategic intuition, creativity, ethical judgment, and empathy. The findings also indicate a shift in leadership from hierarchical control toward ecosystem orchestration, where leaders define goals, interpret AI outputs, manage risks, and ensure responsible human–AI collaboration. Based on the reviewed literature, the study proposes a conceptual Hybrid Intelligence governance model comprising five components: AI capability, human capability, collaboration mechanisms, leadership transformation, and sustainable organizational performance. It also identifies key governance challenges, including hallucination, algorithmic bias, skill displacement, and overdependence on automated systems. Overall, the paper argues that sustainable enterprise value in the AI era depends not on replacing humans, but on designing accountable systems that integrate human and machine intelligence.]]>
