Hybrid Intelligence: A Three-Layer Model for Business Operations in the AI Era

2026-06-28T20:24:58+07:00

The rapid advancement of Artificial Intelligence (AI) and Generative AI is accelerating the emergence of Hybrid Intelligence in business operations. While prior studies mainly emphasize technological development, operational efficiency, and digital transformation, the mechanisms of human–AI collaboration and conceptual models explaining Hybrid Intelligence remain underexplored, particularly in the Vietnamese context. This study aims to synthesize the theoretical foundations of Hybrid Intelligence and propose a Three-Layer Hybrid Intelligence Model for business organizations. An integrative literature review following Torraco (2016) and the PRISMA framework of Moher et al. (2009) was employed. Literature was collected from Scopus, Web of Science, Dimensions, Google Scholar, and PubMed, covering 2016 to April 2026. The findings show that Hybrid Intelligence emerges through the integration of AI’s data-processing capabilities with human critical thinking, strategic judgment, ethics, and empathy. The proposed model comprises three interconnected layers: (1) AI capability, (2) human strategic capability, and (3) the collaborative human–AI mechanism that generates Hybrid Intelligence. The study also highlights leadership transformation toward orchestrating human–AI collaboration while addressing risks such as AI hallucination, algorithmic bias, skill erosion, and overreliance on AI. The model provides a conceptual foundation for future empirical research and sustainable AI-enabled business management.

Research of Economics and Business

Hybrid Intelligence: A Three-Layer Model for Business Operations in the AI Era