Reports > Infrastructure

Innovative Cases and Implications in the AI Era Ⅲ: Business Model Innovation

2024.06.17 Bo-Kyung Kwon

AI technology is a key driver of business model innovation and the creation of new value for companies. Businesses should recognize it as a strategic asset and gradually internalize it, while effectively leveraging it through leadership from management, infrastructure development, and internal and external collaboration.
Table of Contents
  • Definition and Types of Business Models

  • The Impact of AI on Business Model Innovation

  • Three Stages of AI-Driven Business Model Innovation

  • Case Studies of Business Model Innovation Utilizing AI

  • Conclusion and Implications

Executive Summary

  • AI technology is a key driver of business model innovation, enabling companies to achieve new value creation and sustainable growth through strategic utilization and internalization.

  • By leveraging AI technology, companies can enhance agility and adaptability through big data analysis and automated decision-making, while securing new growth engines through personalized experiences and new product development.

    • Enhance agility and adaptability of organizations by automating and optimizing decision-making through the collection, storage, processing, and analysis of large-scale data.

    • Improve efficiency by providing personalized experiences through customer behavior and preference prediction, and by expanding the scope of task automation.

    • Utilize AI technology to identify potential customers and develop new products and services, securing new growth engines.

  • AI-driven business model innovation requires a phased approach, integrating data, automating processes, and transforming business models to create new value.

    • Phase 1: Introduce AI into individual business areas and foster the adoption of data-driven decision-making

    • Phase 2: Promote connectivity and automation across processes through data integration and the establishment of end-to-end digital infrastructure

    • Phase 3: Use AI capabilities to innovate existing business models and discover new business opportunities

  • Companies like Schneider Electric, Michelin, and Amorepacific have built innovative business models by utilizing AI and IoT.

    • Schneider Electric: Transformed into an energy management and automation solutions provider by leveraging IoT and AI technology

    • Michelin: Expanded its business scope from AI-based tire management services to comprehensive vehicle management services

    • Amorepacific: Developed customized products and services using big data and AI technologies and strengthened online sales channels

  • Manufacturing companies must recognize AI technology as a strategic asset, through bold investments and experiments to internalize it. At the same time, they need to build an ecosystem of openness and collaboration to establish a virtuous cycle of continuous growth and innovation.