This chapter explores the pivotal role of artificial intelligence (AI) as a catalyst for green innovation, examining how its advanced capabilities reshape the way organizations approach environmental sustainability. In an era marked by accelerated digital transformation, AI has emerged as a general-purpose technology that not only increases productivity but also drives wide-ranging innovation across sectors. The chapter highlights how AI’s predictive analytics, machine learning, and integrative potential with other digital technologies—such as the Internet of Things and robotics—enhance proactive and interactive green innovation processes. By leveraging large-scale, real-time datasets, AI enables organizations to anticipate emerging sustainability challenges, optimize resource usage, and accelerate the development and deployment of environmentally friendly products and processes. The discussion underscores AI’s transformative effect in various industries, including the oil sector, where intelligent systems improve operational efficiency while reducing ecological impacts. This chapter argues that AI is not merely a supplementary tool but a necessary and beneficial technology for spurring both proactive and interactive green innovation. As the global economy continues to grapple with complex environmental constraints, the strategic integration of AI stands to deepen organizational resilience, foster collaborative problem-solving, and ultimately usher in a new era of sustainable, data-driven innovation.

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Artificial Intelligence and Green Innovation

  • Amir A. Abdulmuhsin,
  • Hayder DH. Hussein,
  • Ramadan Mahmood Ramo,
  • Ra’ed Masa’deh,
  • Abeer F. Alkhwaldi

摘要

This chapter explores the pivotal role of artificial intelligence (AI) as a catalyst for green innovation, examining how its advanced capabilities reshape the way organizations approach environmental sustainability. In an era marked by accelerated digital transformation, AI has emerged as a general-purpose technology that not only increases productivity but also drives wide-ranging innovation across sectors. The chapter highlights how AI’s predictive analytics, machine learning, and integrative potential with other digital technologies—such as the Internet of Things and robotics—enhance proactive and interactive green innovation processes. By leveraging large-scale, real-time datasets, AI enables organizations to anticipate emerging sustainability challenges, optimize resource usage, and accelerate the development and deployment of environmentally friendly products and processes. The discussion underscores AI’s transformative effect in various industries, including the oil sector, where intelligent systems improve operational efficiency while reducing ecological impacts. This chapter argues that AI is not merely a supplementary tool but a necessary and beneficial technology for spurring both proactive and interactive green innovation. As the global economy continues to grapple with complex environmental constraints, the strategic integration of AI stands to deepen organizational resilience, foster collaborative problem-solving, and ultimately usher in a new era of sustainable, data-driven innovation.