Impact of AI on Financial Performance of Enterprises
DOI:
https://doi.org/10.48047/3p8n5x63Keywords:
AI adoption, Financial Performance, Enterprise Performance, Operational EfficiencyAbstract
This paper investigates the impact of Artificial Intelligence (AI) on the financial
performance of enterprises, using data from major companies across various industries. It
focuses on key financial metrics such as revenue; net income; interest, taxes, depreciation,
and amortization (EBITDA); return on investment (ROI); and gross profit, comparing these
metrics before and after the adoption of AI technologies. The study aims to quantify the
economic benefits and challenges associated with AI implementation, particularly in terms
of enhancing profitability, improving operational efficiency, and driving long-term
financial growth. The findings reveal significant improvements in financial outcomes for
AI-adopting companies, showcasing AI's role in optimizing business processes, boosting
revenue, and reducing operational costs. Additionally, the paper also highlights the
challenges that come with AI adoption, such as high upfront costs and complex integration.
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