The Intersection of Green AI, Digital Advertising, and Corporate Sustainability: A Systematic Review
DOI:
https://doi.org/10.54536/ajebi.v4i2.5373Keywords:
Corporate Sustainability, Digital Advertising, Green AI, Green Marketing, Stakeholder Theory, Triple Bottom LineAbstract
The growing intersection of digital advertising, corporate sustainability, and artificial intelligence (AI) is reshaping how organizations engage with consumers and communicate their environmental and social commitments. This study conducts a PRISMA-guided systematic review of peer-reviewed literature published between 2015 and 2025, with the objective of understanding how AI, particularly sustainable or “Green AI”, is influencing digital advertising strategies aligned with environmental, social, and governance (ESG) goals. A total of 19 articles were included based on clear inclusion criteria: English-language, peer-reviewed empirical or conceptual studies addressing AI, sustainability, and digital advertising. Articles were excluded if they lacked relevance to the intersection of these domains or did not meet minimum methodological standards. Five key themes emerged: AI’s transformative role in green marketing, the integration of sustainability into advertising strategy, risks such as greenwashing and ethical concerns, personalization’s influence on consumer trust and behavior, and the theoretical frameworks shaping the field. While AI enhances targeting and sustainability messaging, it also introduces challenges, such as energy consumption, ethical trade-offs, and strategic misalignment. Drawing on Stakeholder Theory and the Triple Bottom Line, this review provides a structured lens for understanding these tensions. Limitations include the novelty of the topic, limited geographic diversity, and a concentration of studies in consumer-facing sectors. Practical implications include the need for firms to align AI use with authentic sustainability commitments and for policymakers to strengthen digital ESG accountability frameworks.
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Copyright (c) 2025 Ogechukwu T. Ibeama, Rebecca O. Alabi, Lydia A. Dampare Addo, Levi Ijebor, Arinze E. Anaege
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