Abstract

The future of tax technology in the United States is undergoing a paradigm shift driven by Artificial Intelligence (AI) and digital transformation. As tax systems become more complex, AI-powered solutions offer unprecedented opportunities to enhance tax compliance, enforcement, and policy-making. This review explores a conceptual framework for AI-driven tax transformation, examining key technologies such as machine learning, natural language processing (NLP), robotic process automation (RPA), and blockchain. These innovations are reshaping tax administration by streamlining compliance processes, improving fraud detection, and optimizing tax policy modeling. Machine learning and predictive analytics enable real-time risk assessment and fraud detection, reducing tax evasion while enhancing efficiency. NLP applications, including AI-powered chatbots, are revolutionizing taxpayer interactions by providing automated assistance and legal interpretations. RPA enhances the speed and accuracy of tax return processing, while blockchain technology promotes transparency and data integrity. AI-driven policy modeling further allows governments to simulate tax reforms and optimize revenue collection strategies. Despite its potential, AI-driven tax transformation faces critical challenges, including data security risks, ethical concerns regarding algorithmic bias, and integration hurdles with legacy tax systems. Regulatory adaptation is essential to ensure accountability, fairness, and taxpayer trust in AI-powered tax processes. This paper highlights policy recommendations to foster a balanced approach to AI integration, emphasizing the need for robust regulatory frameworks, public-private collaboration, and AI literacy among tax professionals. By leveraging AI-driven tax technologies, the U.S. can achieve greater efficiency, compliance accuracy, and taxpayer engagement. However, careful implementation, ethical safeguards, and continuous innovation will be key to ensuring an equitable and transparent tax system. This conceptual framework serves as a foundation for understanding the transformative role of AI in modern tax administration and shaping its future trajectory.