Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms

This study investigates the impact of artificial intelligence (AI) on the earnings before interest, taxes, depreciation, and amortization (EBITDA) of traditional firms. It posits that AI improves EBITDA by increasing revenues and minimizing expenses, leading to enhanced market value and scalability, and improved economic and financial sustainability. The methodology combines a business plan sensitivity analysis demonstrating the impact of AI savings on key parameters with a network theory interpretation comparing ecosystems with and without AI. The main contribution is this novel combined approach illustrating AI's potential in scalable ecosystems.

Roberto Moro-Visconti, Salvador Cruz Rambaud, Joaquín López Pascual