Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI

A research paper proposes blockchain as foundational infrastructure for embodied AI systems, addressing the dual challenge of securing data economies while defending against quantum computing threats. The work integrates post-quantum cryptography, cross-organizational governance, and scalable architectures to create trustworthy decentralized environments for AI-driven cyber-physical systems.

This academic framework addresses a critical infrastructure gap emerging at the intersection of embodied AI deployment and quantum computing advancement. As robotics and world-model-based AI systems proliferate, they generate unprecedented volumes of sensitive data requiring provenance verification and cross-organizational sharing—problems blockchain architectures traditionally solve through distributed consensus. However, quantum computing progress, highlighted by recent Nobel Prize recognition, renders current ECDSA-based cryptography vulnerable within 10-15 years, threatening the long-term security of systems requiring decades of operational integrity.

The paper's significance lies in its systems-level approach rather than isolated technical solutions. By framing blockchain as a "coordination layer" rather than merely a ledger, it positions distributed systems as essential middleware for trustworthy AI data economies. The BrokerChain protocol framework and integration of Croissant metadata standards suggest practical pathways for robotic learning provenance—critical for establishing liability chains in autonomous systems where data quality directly impacts safety outcomes.

For the blockchain ecosystem, this represents intellectual validation that beyond financial use cases, distributed infrastructure addresses fundamental trust challenges in cyber-physical systems. Developers and enterprises building IoT, robotics, or autonomous systems face genuine pressure to implement crypto-agility—the ability to upgrade cryptographic primitives without system redesign. The framework's emphasis on interoperability across heterogeneous quantum hardware (superconducting, trapped-ion, neutral-atom) reflects pragmatic recognition that no single quantum approach will dominate.

Market implications remain modest currently, as this remains academic research. However, the convergence of embodied AI commercialization with quantum threat timelines creates structural demand for quantum-resistant blockchain infrastructure within 5-7 years. Organizations should begin crypto-agile architecture planning now to avoid costly migrations.

• →Quantum computing threatens blockchain's cryptographic foundation, requiring post-quantum signature transitions before large-scale quantum systems emerge.
• →Embodied AI systems generate provenance-critical data requiring blockchain-based governance across decentralized organizations.
• →Crypto-agile architectures that support cryptographic algorithm upgrades will become mandatory rather than optional for long-lived systems.
• →Cross-shard scaling protocols and metadata standards like Croissant enable trustworthy AI training data marketplaces on blockchain.
• →Multi-modal cloud deployment frameworks bridging quantum hardware with blockchain create infrastructure enabling next-generation autonomous ecosystems.