This article examines the rapidly expanding role of artificial intelligence (AI) in financial management, focusing on how it reshapes corporate finance practices globally and in emerging markets such as Uzbekistan. Through a detailed analysis of AI applications—ranging from risk management to investment strategy—the paper identifies both transformative advantages and inherent challenges. Case studies from international corporations and Uzbekistan’s banking and fintech sectors illustrate AI’s impact on productivity, decision-making, and governance. The article concludes with policy recommendations to ensure sustainable and ethical adoption of AI in corporate finance environments.

Artificial intelligence, corporate finance, Uzbekistan, automation, risk management, fintech, fraud detection, machine learning, financial technology, digital economy

Accenture (2023). The Future of Finance: Automating for Advantage.

Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W.W. Norton & Company.

Deloitte (2021). AI and the Future of Financial Decision-Making.

EY Uzbekistan (2023). AI in Audit and Financial Controls: Emerging Practices.

IMF (2022). Uzbekistan Public Financial Management Review.

Mastercard (2022). AI-Driven Fraud Prevention Systems: Performance Insights.

Ministry of Finance of Uzbekistan (2023). STAS Performance and Digital Roadmap.

OECD (2022). Artificial Intelligence in Financial Markets: Policy Perspectives.

PwC Uzbekistan (2023). AI Use Cases in Uzbek Banking Sector.

World Economic Forum (2020). The Future of Jobs Report.