This chapter examines the integration of artificial intelligence (AI) and biodiversity strategies within corporate sustainability practices through a comparative analysis of firms in the United States and South Korea. It analyzes sustainability disclosures, the adoption of the Taskforce on Nature-Related Financial Disclosures (TNFD), and biodiversity-related initiatives to assess how companies employ AI tools for ecological monitoring and how biodiversity considerations are embedded in strategic planning. In the United States, corporations such as AECOM, Google, and Microsoft follow technology-driven approaches centered on AI-enabled monitoring systems and open-source data platforms. Their strategies are primarily influenced by investor expectations and market incentives rather than national regulatory frameworks. By contrast, South Korean firms, including POSCO, IBK, and Hankook Tire align more closely with domestic policy frameworks and TNFD commitments. Their strategies are regulation-driven, reflecting strong compliance with government sustainability agendas, yet they exhibit slower progress in integrating advanced digital and AI-based tools. The comparative findings reveal complementary strengths between the two contexts. U.S. firms demonstrate leadership in technological innovation but limited alignment with policy frameworks, whereas South Korean firms exhibit robust policy compliance but face challenges in digital transformation. These differences highlight the potential value of hybrid models that merge technological innovation with regulatory support, offering more effective pathways for private-sector contributions to biodiversity conservation and long-term sustainability.

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AI and Biodiversity in Corporate Strategy: Cross-National Evidence from the United States and South Korea

  • Yunjoo Cho

摘要

This chapter examines the integration of artificial intelligence (AI) and biodiversity strategies within corporate sustainability practices through a comparative analysis of firms in the United States and South Korea. It analyzes sustainability disclosures, the adoption of the Taskforce on Nature-Related Financial Disclosures (TNFD), and biodiversity-related initiatives to assess how companies employ AI tools for ecological monitoring and how biodiversity considerations are embedded in strategic planning. In the United States, corporations such as AECOM, Google, and Microsoft follow technology-driven approaches centered on AI-enabled monitoring systems and open-source data platforms. Their strategies are primarily influenced by investor expectations and market incentives rather than national regulatory frameworks. By contrast, South Korean firms, including POSCO, IBK, and Hankook Tire align more closely with domestic policy frameworks and TNFD commitments. Their strategies are regulation-driven, reflecting strong compliance with government sustainability agendas, yet they exhibit slower progress in integrating advanced digital and AI-based tools. The comparative findings reveal complementary strengths between the two contexts. U.S. firms demonstrate leadership in technological innovation but limited alignment with policy frameworks, whereas South Korean firms exhibit robust policy compliance but face challenges in digital transformation. These differences highlight the potential value of hybrid models that merge technological innovation with regulatory support, offering more effective pathways for private-sector contributions to biodiversity conservation and long-term sustainability.