Mainstream AI providers rely on centralized infrastructure, inherently creating single points of failure and control. When data is routed through corporate servers, users are exposed to risks including:
Data Breaches – High-profile leaks exposing sensitive personal or corporate data.
Unauthorized Profiling – Aggregated data used to create behavioral and commercial profiles of individuals.
Vendor Lock-In – Dependence on corporate AI providers with shifting policies and opaque data usage terms.
These centralized systems force users to trade their privacy for convenience, leaving them vulnerable to systemic exploitation.