# AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection
## 3 AI-Driven Blockchain Solutions
### AI-Driven Smart Contract
#### 3.2.3 AI-Driven Smart Contract Applications in Specific Domains
Studies demonstrate that smart contracts can enhance data integrity, reduce reliance on intermediaries, and improve supply chain transparency. However, many of these solutions exhibit high computational resource consumption, raising concerns about their scalability and applicability in large-system deployments. This is primarily because AI-assisted smart contracts require complex data preprocessing, feature extraction, and model inference, all of which involve intensive computations. Additionally, maintaining security and trust often necessitates mechanisms such as Trusted Execution Environments (TEEs) or zero-knowledge proofs (ZKPs), further increasing the computational load. Frequent on-chain and off-chain interactions for model verification and the potential need for continuous model updates or retraining exacerbate resource demands. Furthermore, while AI-enhanced smart contract studies show promise, they predominantly remain at the proof-of-concept stage, lacking comprehensive validation in real-world, large-scale scenarios. Critical performance bottlenecks, including transaction throughput and latency under high-load conditions, are often overlooked. Addressing these challenges requires advancing modular and reusable smart contract architectures, alongside integrating AI techniques to predict and optimize performance in high-frequency, resource-constrained transaction environments. \begin{table}
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**Author** & **Core Innovation** & **Algorithm** & **Application Scenario** & **Advantages** & **Limitations** \\ \hline \multirow{3}{*}{[PERSON] et al. [162]} & Smart contract framework for smart cities & Blockchain + Smart Contracts & Smart Cities & Solves data management & High computational demand \\ \hline \multirow{3}{*}{[PERSON] et al. [163]} & Peer-to-peer food delivery automation & Smart contract automation & Food supply chain & Trust-enhancing, commission-free & Limited transaction throughput \\ \hline \multirow{3}{*}{[PERSON] et al. [164]} & Smart contract-aided plastic credit scheme & Blockchain + Smart Contracts & Plastic recycling governance & Promotes self-regulated plastic trading, improves recyclability & Requires industry-wide adoption \\ \hline \multirow{3}{*}{[PERSON] et al. [165]} & Blockchain-based agricultural product traceability & IPFS + Smart Contracts & Agricultural supply chain & Improves data integrity & Dependent on distributed storage \\ \hline \multirow{3}{*}{[PERSON] et al. [166]} & Smart contracts in PBFT-based blockchains for medical prescriptions & PBFT Blockchain (Tendermint, Hyperledger Besu) + Smart Contracts & Electrical for metalli-system stakeholder applications & Limited scalability compared to POW-based solutions \\ \hline \multirow{3}{*}{[PERSON] et al. [167]} & Blockchain-based supply chain collaboration framework & Ethereum + Smart Contracts & Supply chain collaboration & Ensures data authenticity and quality in supply networks & Challenges in integration with existing supply chains \\ \hline \hline \end{tabular}
\end{table} 
Table 21: Comparison of smart contract implementations in specific applications.