Moro-Visconti, R.; Cruz Rambaud, S.; Lopez Pascual, J. Artificial Intelligence’s Networking Scalability: ESG Value Creation and Bankability Issues. Preprints2024, 2024090510. https://doi.org/10.20944/preprints202409.0510.v1
APA Style
Moro-Visconti, R., Cruz Rambaud, S., & Lopez Pascual, J. (2024). Artificial Intelligence’s Networking Scalability: ESG Value Creation and Bankability Issues. Preprints. https://doi.org/10.20944/preprints202409.0510.v1
Chicago/Turabian Style
Moro-Visconti, R., Salvador Cruz Rambaud and Joaquin Lopez Pascual. 2024 "Artificial Intelligence’s Networking Scalability: ESG Value Creation and Bankability Issues" Preprints. https://doi.org/10.20944/preprints202409.0510.v1
Abstract
This study investigates the impact of Artificial Intelligence (AI) on traditional firms, specifically examining how scalable network properties and the integration of Environmental, Social, and Governance (ESG) considerations affect financial margins, sustainability, and bankability. The research addresses the core question of how AI investments can drive economic value by enhancing EBITDA and financial stability while aligning firms with sustainability goals. Using advanced network theory and multilayer models, the study reveals that AI-driven scalability significantly improves a firm's financial performance, making it more attractive to investors and financial institutions. Additionally, the integration of ESG factors further enhances operational efficiency, market valuation, and long-term financial stability. The study introduces an innovative "with-or-without" analysis to quantify the comparative benefits of AI and ESG integration, underscoring the role of these technologies in driving sustainable growth and addressing bankability concerns in traditional firms. This comprehensive approach offers new insights into the evolving dynamics of AI, ESG, and corporate finance.
Keywords
Network theory; digital transformation; sustainable finance; business planning; with-or-without analysis; scalability
Subject
Business, Economics and Management, Finance
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
