Decentralization of Artificial Intelligence: The true use of blockchain technology and AI

This whitepaper analyzes the structural problem of centralization in the development of modern artificial intelligence and proposes a conceptual model of decentralized training based on blockchain technology. It examines how the concentration of data, computational infrastructure and models in a reduced number of global corporations creates technological, economic and strategic dependency worldwide. Through progressive examples—from the basic workings of machine learning to the reuse of computations through hashes—the idea of a distributed network (IAChain) is introduced, in which nodes, data, storage and trainings coexist incentivized through digital tokens. The goal is not to present a finished technical solution, but to open a discussion about the feasibility and potential impact of decentralizing the knowledge and processing that will sustain the next generation of artificial intelligence.