Blockchain and Generative AI Integration

An Exploration of Blockchain, Digital Assets, and AI Integration Use-Cases Across Industries

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Situation

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Our client wanted to better understand how emerging technologies like generative AI are influencing the blockchain market

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Objective

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The objective was to evaluate the evolving landscape of blockchain and digital assets, assess the integration of blockchain with generative AI, and identify the most promising use cases and adoption strategies that drive innovation and maximize business value.

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Our Work

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10EQS analyzed key criteria for blockchain and digital asset adoption, including interoperability, scalability, transaction speed, regulatory compliance, value creation, and economic viability. 10EQS further assessed emerging synergies between blockchain and generative AI, identifying archetypes such as Predictive Innovators, Smart Contract Negotiators, and Data Integrity Advocates.

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Project Team

• Ex-McKinsey Management Consultant with technology & financial services industry experience
• 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
• 4 industry experts

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Industry experts (excerpt)

• Executive Director, Strategy & Digital Innovation – Financial Services Company (US)
• Professor of Digital Engineering for Future Technologies – Public University (UK)
• Sr. Director, Digital Transformation & Technology Strategy – Medical Devices Company (US)
• Sr. Director, Emerging Technologies, Blockchain Org – Health Insurance Provider (US)

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Results

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10EQS found that the adoption of Blockchain technology is expected to accelerate, as experts see DLT as a technology that will underpin an inevitable disruption of today’s financial system. Co-evolution of DLT and AI is expected to unlock new value, as novel use cases emerge, mostly on operational efficiency such as guaranteeing data integrity and creating new data sources to feed AI algorithms.