Artificial Intelligence and Environmental Sustainability Playbook for Energy Sector Leaders

Abdullah Abonamah (), Salah Hassan and Tena Cale ()
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Abdullah Abonamah: Environmental and Energy Management Institute, School of Engineering and Applied Science, The George Washington University, Washington, DC 20052, USA
Salah Hassan: School of Business, The George Washington University, Washington, DC 20052, USA
Tena Cale: Department of Leadership and Organizational Development, Abu Dhabi School of Management, Abu Dhabi P.O. Box 6844, United Arab Emirates

Sustainability, 2025, vol. 17, issue 14, 1-27

Abstract: The energy sector uses artificial intelligence (AI) as a crucial instrument to achieve environmental sustainability targets by improving resource efficiency and decreasing emissions while minimizing waste production. This paper establishes an industry-specific executive playbook that guides energy sector leaders by implementing AI technologies for sustainability management with approaches suitable for industrial needs. The playbook provides an industry-specific framework along with strategies and AI-based solutions to help organizations overcome their sustainability challenges. Predictive analytics combined with smart grid management implemented through AI applications produced 15% less energy waste and reduced carbon emissions by 20% according to industry pilot project data. AI has proven its transformative capabilities by optimizing energy consumption while detecting inefficiencies to create both operational improvements and cost savings. The real-time monitoring capabilities of AI systems help companies meet strict environmental regulations and international climate goals by optimizing resource use and waste reduction, supporting circular economy practices for sustainable operations and enduring profitability. Leaders can establish impactful technology-based sustainability initiatives through the playbook which addresses the energy sector requirements for corporate goals and regulatory standards.

Keywords: AI; resource optimization; emissions reduction; waste minimization; sustainability; energy sector; leadership (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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