The feasibility of on-chain fingerprint certification for AI-generated content (AIGC) hinges on blockchain’s immutable and transparent nature. By embedding unique digital fingerprints—such as hashes of AIGC metadata or content—on a blockchain, creators can prove ownership, authenticity, and integrity. Smart contracts could automate verification, ensuring tamper-proof records. However, challenges include scalability, as high transaction volumes may strain blockchain networks, and cost, given fluctuating gas fees. Privacy concerns also arise, as public blockchains expose data unless encrypted. Existing solutions like Ethereum or specialized chains like Flow offer viable platforms, but optimization for AIGC use cases is needed. With advancements in layer-2 scaling and privacy protocols, on-chain fingerprinting for AIGC is technically feasible and holds significant potential for copyright protection and trust in digital ecosystems.