AI Dependence

AI dependence describes an organization's reliance on artificial intelligence systems for critical business functions, decision-making, or operational continuity. In enterprise governance, this concept matters because over-reliance on AI without proper oversight, fallback mechanisms, or human validation can create systemic vulnerabilities when models fail, produce biased outputs, or face adversarial attacks. Companies must assess their dependency levels and establish clear policies around when AI recommendations require human review, maintain alternative processes, and ensure accountability chains remain intact even as AI systems become more central to operations.

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ResearchGlobal2026-09-05

Viral Dependency Model Reframes AI Adoption as a Workforce Competency Risk

Researchers from a complex systems institute have published a preprint on arXiv modeling large language model adoption using an epidemiological framework, identifying nonlinear tipping points at which widespread AI use can produce rapid, population-level losses in cognitive competence and autonomous judgment. The paper argues that dependency states can become persistent and difficult to reverse once a critical adoption threshold is crossed. The findings carry direct implications for enterprise human oversight programs, workforce capability assessments, and the design of AI use policies.

cognitive autonomy AI dependence human oversight workforce risk AI literacy automation bias