AI in Web3 is evolving beyond simple automation. The bigger conversation now is ownership and how much control users actually keep once AI becomes part of daily workflows. That’s one reason @TheARCTERMINAL has been interesting to watch. A lot of platforms focus on making AI more accessible, but the more important challenge may be building systems where users maintain authority over their own agents, data, and decision flow. The direction ARC seems to be exploring is less about centralized convenience and more about creating a framework where: ★ agents operate with persistent context ★ workflows remain more user controlled ★ data boundaries feel clearer ★ personalization does not require sacrificing privacy ★ AI becomes adaptable to the individual, not just the platform That distinction matters because the next generation of AI products will not compete on intelligence alone. They will compete on trust. As AI agents become more integrated into wallets, trading, research, and execution layers, users will start paying closer attention to who controls the underlying system and where their information actually lives. The strongest infrastructure may end up being the platforms that balance capability with genuine user sovereignty.