The rise of agentic intelligence marks a paradigm shift in how humans interact with machines. No longer passive tools, agentic systems are becoming active collaborators capable of reasoning, adapting, and co-creating. This chapter explores the emerging dynamics of human-AI collaboration, where trust, delegation, and shared agency redefine the boundaries of work and creativity. Agents as Teammates, Not Tools Traditional automation systems were designed to execute predefined tasks. Agentic systems, however, possess autonomy, memory, and decision-making capabilities. This transforms their role from tools to teammates : Proactive Contribution : Agents can suggest strategies, identify risks, and even challenge human decisions. Context Awareness : They understand goals, constraints, and evolving environments, enabling nuanced collaboration. Adaptive Learning : Agents learn from human feedback, improving over time and aligning with team dynami...
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