authors
Kolawole Oloke

abstract
The rapid convergence of digital finance, distributed computing, and artificial intelligence has accelerated the global transition toward asset tokenization, redefining how value is represented, exchanged, and governed across financial ecosystems. Asset tokenization enabled by blockchain-based digital representations of real-world or financial assets offers greater liquidity, fractional ownership, transparent auditability, and global accessibility. However, the complexity of multi-asset valuation, interoperability across blockchain networks, and the scalability requirements of high-volume trading environments demand an advanced technological foundation that extends beyond conventional decentralized architectures. At a broader level, the integration of AI-enhanced valuation models with decentralized cloud infrastructure introduces a next-generation approach for developing secure, resilient, and automated end-to-end tokenization systems. Narrowing in focus, this paper proposes a comprehensive framework for designing asset tokenization platforms that leverage distributed cloud networks for computation, storage, and consensus while embedding machine-learning valuation engines at every stage of the asset lifecycle. AI-driven valuation models improve price discovery, dynamic asset classification, risk adjustment, and anomaly detection for tokenized assets spanning real estate, commodities, financial securities, intellectual property, and carbon credits. Smart contracts operationalize these insights by automating minting, compliance checks, investor eligibility, and secondary-market settlement. Decentralized cloud services further enhance scalability by enabling parallelized model inference, distributed identity verification, and state synchronization across multiple chains. Privacy-preserving computation such as secure multiparty learning and encrypted inference ensures that valuation logic remains confidential while maintaining regulatory-grade auditability. By integrating AI, tokenization infrastructures, and decentralized compute layers into a unified architecture, the system supports efficient asset digitization, transparent governance, and regulatory-aligned operation across jurisdictions. This research presents an end-to-end blueprint for future-proof tokenization ecosystems that harness AI and decentralized cloud networks to deliver trust, efficiency, and inclusivity in digital markets.