When Meta's smart glasses were revealed to be feeding user data directly to Facebook servers, many questioned why privacy violations came as a surprise. Zuckerberg's laptop famously displayed webcam and microphone covered in black tape, revealing even the CEO's distrust of his own company's devices. The reality is that modern computing platforms have shifted from user-centric to data-centric business models.

Windows 10 now requires online accounts with extensive data collection built in, while Chromebooks mandate Google accounts from the start. These companies openly state in their terms that user data trains their AI models. Meta's advertising-first business model generated 98% of its $189 billion revenue last year, creating powerful incentives to collect and process user information. Transfer learning techniques demonstrated by Meta's former AI chief show how billions of user images from Instagram feed directly into model training pipelines.

Privacy policies remain deliberately vague, allowing companies to repurpose collected data as AI technology evolves. Tesla employees have shared customer videos, Apple has used data without consent, and Meta workers process recordings from its smart glasses. When you place data on someone else's servers, you're trusting their intentions. AI systems require massive datasets of personal information to function, making privacy violations an inherent feature rather than a bug. The fundamental question isn't whether your data is being used, but rather who controls it and for what purpose.