The internet was designed for human interaction, actively discouraging bots. The next evolution will reverse this, with AI agents becoming the primary users. This requires re-architecting everything from user interfaces to business models, with crypto likely serving as the native payment rail for these autonomous agents.

This autonomous governance protocol manages everything from adding node providers to upgrading the core protocol. It operates via proposals and a liquid democracy system, removing the need for a centralized administrative body.

As AI evolves from single-task tools to autonomous agents, the human role transforms. Instead of simply using AI, professionals will need to manage and oversee multiple AI agents, ensuring their actions are safe, ethical, and aligned with business goals, acting as a critical control layer.

Decentralized Autonomous Organizations (DAOs) can shift the power dynamic in large partner ecosystems. Instead of a top-down vendor model, partners can collectively propose, vote on, and update incentive rules. This transforms partners from being passive recipients of policy into active co-creators, fostering a more collaborative and competitive "living ecosystem."

AI models are now participating in creating their own governing principles. Anthropic's Claude contributed to writing its own constitution, blurring the line between tool and creator and signaling a future where AI recursively defines its own operational and ethical boundaries.

As a step toward direct AI-driven governance, NEAR Protocol is creating "AI delegates." Token holders can delegate their voting power not to a person, but to an AI whose logic and values they agree with. This tests a model where AI can represent constituents' interests more directly and consistently than human politicians.

The 'agents vs. applications' debate is a false dichotomy. Future applications will be sophisticated, orchestrated systems that embed agentic capabilities. They will feature multiple LLMs, deterministic logic, and robust permission models, representing an evolution of software, not a replacement of it.

As AI capabilities accelerate toward an "oracle that trends to a god," its actions will have serious consequences. A blockchain-based trust layer can provide verifiable, unchangeable records of AI interactions, establishing guardrails and a clear line of fault when things go wrong.

Block's CTO believes the key to building complex applications with AI isn't a single, powerful model. Instead, he predicts a future of "swarm intelligence"—where hundreds of smaller, cheaper, open-source agents work collaboratively, with their collective capability surpassing any individual large model.