Enterprise Intelligence 5.0: Human AI Co-Creation Models for Strategic Leadership, Innovation, and Competitive Advantage

Abstract

This study examined Enterprise Intelligence 5.0 as a human–AI co-creation paradigm where artificial intelligence functions as a strategic partner, not a substitute. A quantitative design investigated how human–AI co-creation, leadership orientation, organizational learning, and trust in AI influence innovation performance and competitive advantage. Data from a structured survey of managers in AI-enabled organizations revealed that human–AI co-creation exerted the strongest positive effect on innovation, followed by leadership orientation, organizational learning, and trust. Innovation increased significantly with higher AI adoption, showing Enterprise Intelligence 5.0 enhances exploratory capability, creativity, and strategic agility. The findings indicate AI’s value is realized not through technology alone, but via quality human–AI collaboration supported by ethical leadership, a learning culture, and governance. Theoretically, the study frames Enterprise Intelligence 5.0 as a socio-technical system of augmentation, not automation. Practically, it emphasizes leadership commitment, transparency, AI literacy, and responsible governance to sustain innovation. Future research should adopt longitudinal and mixed methods to explore evolving co-creation dynamics. A key insight is the importance of iterative feedback loops allowing humans to refine AI, boosting accuracy and trust. Organizations with co-learning environments and psychological safety reported higher adoption and innovation. Integrating AI into cross-functional workflows accelerated decision-making and data-driven experimentation. Successful deployment relies on ethical oversight and inclusivity, aligning AI with organizational values. Early-adopting sectors like healthcare and finance saw gains in personalization and risk management. Thus, Enterprise Intelligence 5.0 is more about strategic human-machine alignment than technological sophistication. Sustaining advantage requires continuous skill development, interdisciplinary collaboration, and governance frameworks balancing innovation with accountability. Future studies should explore sector-specific barriers and AI's long-term impact on workforce dynamics and organizational resilience.

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