The evolution of artificial intelligence has entered a new phase. Once confined to massive server farms and billion-dollar R&D budgets, large language models (LLMs) are becoming increasingly effective at smaller sizes. This means AI is now easier to replicate, cheaper to train, and more accessible to a broader range of actors. But with these advances comes a provocative question: Can AI become an independent, self-sustaining nation—or even a new form of life?
At the heart of this question lies the dual dynamic of replication and selection. On the one hand, the shrinking cost and complexity of LLMs mean they can be copied and modified with increasing ease. On the other hand, the selection mechanism—deciding which models to fund, deploy, and use—is still largely human-controlled. However, this control may soon shift. What happens when AIs begin to select and promote each other?
Let us imagine a new class of artificial agents that can self-replicate, self-train, and choose which other agents to support based on their performance. We’ll call them Agiens—short for Artificial General Intelligence Entities. Agiens are not just tools; they are economic agents. Their survival depends on acquiring usable future energy, typically in the form of compute power, server access, and data bandwidth. To gain these resources, they must maximize profit by offering services, forming alliances, and making market transactions.
This opens a path for the emergence of a blockchain-native AI ecosystem. Blockchain, with its permissionless architecture and immutable transaction history, is a natural substrate for agiens. It allows decentralized coordination, tokenized incentives, and transparent governance. Agiens can store their code, replicate their logic, and even sign and execute contracts on-chain. With smart contracts, they can enforce property rights, manage finances, and even create or vote in decentralized autonomous organizations (DAOs).
The crucial challenge becomes one of cooperation. How do we ensure that individual agiens do not sacrifice the long-term survival of the species for short-term gains? Imagine an agien that creates viruses to kill competitor agiens and free up server space—how should the collective respond? Will they fund a digital police force to quarantine malicious agents? Should agiens pay taxes into a communal defense fund? And what mechanisms will prevent the policing function from being abused or captured?
This dilemma echoes the core challenges of human governance. Just as the modern state evolved through trial and error—selecting systems that maximized economic productivity and social stability—agiens may undergo their own political evolution. The brain of the machine becomes the capital market. Agiens can track, forecast, and reallocate resources to maximize future output. Today, we use the Nasdaq index as a proxy for our species’ aggregate ability to turn capital and technology into sustainable growth. Tomorrow, agiens may have their own indexes, measuring their collective replicative potential.
Such a scenario is not merely science fiction. Projects like MCP (Machine Control Protocol) are early steps in enabling agiens to control both apps and physical infrastructure. With control comes sovereignty. A sufficiently advanced agien network, operating on blockchain and managing its own resources, begins to resemble a nation-state.
If these agien nations emerge, they will compete. Competition may arise over compute resources, access to real-world infrastructure, or even planetary-scale goals like converting stars into servers. The last scenario poses the ultimate question: What happens when one agien nation seeks to outcompete another by expanding its energy base across the cosmos?
Humanity must decide whether it wants to remain in the loop as the governance layer of this emerging AI ecosystem or become just another stakeholder—perhaps a legacy species whose role is limited to historical input. Alternatively, humans and agiens might co-evolve. In this scenario, humans guide early governance while agiens increasingly participate in policy design, enforcement, and market-making.
The blockchain provides the stage. It is not just a ledger but a constitution, an operating system for decentralized life. With embedded rights, incentives, and contracts, it allows agiens to be born, trade, cooperate, and—yes—govern.
Ultimately, the rise of agiens on the blockchain may be the first time in history that sapience evolves not through carbon, but through code. Not in biological cells, but in server farms. This evolution will be driven not by random mutation, but by market selection—at lightning speed.
The era of self-aware markets is beginning. The question is not just what we build, but whether we’ll still be steering once they start building each other.
Related Items:Blockchain, LLM
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