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Liberman Brothers

Serial entrepreneurs arguing that AI should be understood as infrastructure whose compute layer must not be monopolized by a few corporations or states.

Daniil and David Liberman are serial entrepreneurs and investors discussed in a Forbes Russia interview about AI, internet monopolies, and decentralized compute. In the interview they frame AI not as a normal software product but as infrastructure comparable to electricity or the internet: whoever controls access to cheap compute can shape who participates in the AI economy.¹

Their core economic lens is the "copyable product": expensive to create once, cheap to reproduce many times. They use this to explain why search engines, social networks, marketplaces, operating systems, and AI models tend toward monopoly-like structures. Once everyone benefits from using the same network or copied artifact, control over that common layer becomes the main political-economic problem.¹

The brothers argue that open models alone are insufficient because the real bottleneck shifts to AI compute infrastructure: GPUs, data centers, energy, chip supply chains, and inference capacity. Their proposed answer is decentralized AI compute: an open protocol where participants provide hardware, earn protocol tokens, and make compute publicly accessible without a company or nonprofit board retaining central control.¹

Their argument connects Agent Loops to infrastructure economics. Agents can burn far more tokens than chat interfaces, so they create demand for cheap, routable inference and may automatically choose cheaper model/compute providers when asked to optimize cost.¹