Abstract: As organizations accelerate artificial intelligence adoption, many are experimenting with formally positioning AI agents as organizational members—assigning them names, job titles, and even places on the org chart. While this "AI employee" framing may seem like a pragmatic step toward normalizing advanced technology, emerging research reveals significant unintended consequences. A large-scale experimental study involving over 1,200 managers across multiple industries demonstrates that anthropomorphizing AI shifts accountability away from humans, increases escalation behavior, reduces error detection rates, and undermines professional identity and organizational trust. These effects are most pronounced among managers already working in organizations that have formalized AI as teammates. This article examines the organizational and individual impacts of treating AI as employees rather than tools, explores evidence-based strategies for integrating agentic AI systems into workflows, and offers a framework for building long-term capability in human-AI collaboration that preserves accountability, maintains quality standards, and enables sustainable value creation.
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