The integration of artificial intelligence (AI) systems demonstrating consciousness-like attributes into organizational frameworks presents unprecedented challenges and opportunities for workplace behavior dynamics. This study investigates the relationship between AI consciousness levels and their impact on both Organizational Citizenship Behavior (OCB) and Counterproductive Work Behavior (CWB) within contemporary HR business models. Through a mixed-methods approach involving 423 employees across 17 multinational organizations implementing advanced AI systems, we examined the behavioral interactions between human employees and AI systems with varying degrees of perceived consciousness. Primary data was collected using the newly developed ConsciousNet Assessment Tool (CAT), which incorporates validated psychometric scales measuring AI consciousness perception, OCB indicators, and CWB manifestations. The quantitative analysis utilized structural equation modeling, while qualitative insights were gathered through semi-structured interviews and focus group discussions. Results indicate a significant positive correlation (r = 0.67, p < 0.001) between perceived AI consciousness and employee OCB, particularly in dimensions of altruism and civic virtue. Conversely, organizations with higher levels of AI consciousness integration demonstrated a 42% reduction in CWB incidents. The findings suggest that as AI systems evolve to exhibit more consciousness-like attributes, they significantly influence human workplace behavior through enhanced emotional resonance and perceived social presence. This research contributes to the emerging field of human-AI organizational dynamics and provides practical implications for HR practitioners in designing future workplace integration strategies. The study also introduces a novel theoretical framework for understanding the reciprocal relationship between AI consciousness and human workplace behavior in increasingly automated organizational environments.