The era of cloud-dependent AI is ending. A fundamental shift is unfolding as AI workloads move from centralized servers to edge devices—running directly on your hardware.

What does this mean? AI becomes hyper-local. Models adapt in real-time to your behavior, preferences, and context without broadcasting every interaction back to remote servers. Your data stays put.

The implications ripple across two fronts:

**Economics reshape.** The capital-intensive model of renting AI compute collapses when processing happens locally. Infrastructure moats erode. Pricing dynamics invert.

**Privacy gets real.** No more trading convenience for surveillance. No intermediary harvesting behavioral data. The user regains agency over their own digital footprint.

This isn't hypothetical—it's already happening. Mobile processors are getting dense enough. On-device LLMs are shipping. The transition is just getting started.

For anyone thinking about the future of AI, Web3, or decentralized systems, this matters. Local compute is closer to peer-to-peer architecture than cloud oligarchy.