AI Smart Contract Merging for Lower Blockchain Energy Use

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Solution Overview

Problem

Existing smart contracts on blockchain systems require significant computational resources and energy, and manual optimization is time-consuming and costly, posing challenges in efficiently merging and optimizing these contracts.

Innovation Solution

A computing system utilizing generative artificial intelligence models to analyze and merge smart contracts based on prompts, generating clusters that meet performance criteria, reducing redundancy and optimizing resource use.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple smart contracts are stored in a blockchain to perform various financial transactions, then the functionality and versatility of the system is improved, but the computational resources and energy consumption increase significantly

Engineering Contradiction:

ImprovefunctionalityVSAvoidenergy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent merges multiple smart contracts into a single consolidated smart contract. The system identifies semantically similar smart contracts based on their functionality and combines them into one contract that performs all required operations. This reduces the total number of contracts stored on the blockchain, thereby decreasing computational resources and energy consumption while maintaining the same functional capabilities.

Inventive Principle:

Principle #5Merging (Combining)

2Manufacturing precision

If manual intervention is used to optimize and merge smart contracts, then the precision and quality of optimization is improved, but the time consumption and operational complexity increase

Engineering Contradiction:

Improveoptimization qualityVSAvoidtime consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent implements an automated system that performs smart contract optimization and merging without requiring manual human intervention. The system uses natural language processing and semantic analysis to automatically identify similar contracts, determine their merging potential, and execute the consolidation process. This self-service approach maintains high optimization quality while eliminating the time loss associated with manual review and intervention.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of reviewing and merging smart contracts with an automated computational system. Instead of human experts manually analyzing contract code and making merging decisions, the system uses AI-based semantic analysis and natural language processing to automatically identify merging opportunities and execute consolidations, thereby reducing time consumption while maintaining optimization precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If more smart contracts are deployed to handle complex financial transactions, then the system's capability to handle diverse operations is improved, but the device complexity and computational overhead increase

Engineering Contradiction:

Improvetransaction capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent consolidates multiple smart contracts into a single contract by merging their functionalities. The system analyzes the semantic content and operational logic of multiple contracts, identifies redundancies and overlaps, and combines them into one unified contract that handles all transaction types. This reduces system complexity and computational overhead while preserving the ability to handle diverse financial operations.

Inventive Principle:

Principle #5Merging (Combining)

4Reliability

If expert manual review is conducted to merge smart contracts, then the accuracy and reliability of merging decisions is improved, but the operational cost and time requirements increase

Engineering Contradiction:

Improvemerging accuracyVSAvoidoperational cost

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent implements an automated merging system that eliminates the need for expert manual review. The system uses advanced natural language processing and semantic analysis techniques to accurately identify similar smart contracts and determine their merging potential. This automated approach maintains high merging accuracy comparable to expert review while dramatically reducing operational costs and time requirements by removing the need for human expert involvement.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12619629B2Intelligent method to combine multiple blockchain based smart contracts leveraging generative artificial intelligence

Publication Date: 2026.05.05 BANK OF AMERICA CORP

AI summary

Aspects of the disclosure relate to using machine learning models to merge smart contracts. A computing system may receive a prompt to merge smart contracts. Based on inputting the prompt into a generative artificial intelligence model configured to parse prompts, smart contract data may be retrieved from a blockchain stored in a distributed ledger platform. Based on inputting the smart contract data into the generative artificial intelligence model, smart contract clusters may be generated. Based on at least one of the smart contract clusters meeting performance criteria, merged smart contracts that meet the performance criteria may be generated. Furthermore, one or more blocks comprising the merged smart contracts may be generated.