Major tech companies are now harvesting user communications and browsing data to train personalized AI models. This includes mining email inboxes and video history to build increasingly customized systems.

The move raises a critical question: as AI becomes more powerful and personalized, are users genuinely consenting to how their most intimate digital footprints get weaponized for model training?

This trend underscores why the Web3 community emphasizes user-owned data and decentralized alternatives. When centralized platforms own your data, they decide how it's monetized. With decentralized protocols, users retain control over their information—deciding what gets shared and with whom.

As AI evolves, the debate between convenience and privacy becomes sharper. Do we accept hyper-personalization at the cost of surveillance, or do we demand better guardrails and alternatives?