Global Minimum Tax Implementation: Challenges and Opportunities for US Multinationals

Authors

  • Piyushkumar Patel Accounting Consultant at Steelbro International Co., Inc, USA Author
  • Hetal Patel Manager- finance department at Jamaica hospital, USA Author

Keywords:

Global Minimum Tax, U.S. Multinationals

Abstract

Implementing a global minimum tax presents significant challenges and valuable opportunities for U.S. multinational corporations, reshaping their operations, tax strategies, and global competitiveness. This tax framework, designed to ensure that companies pay a minimum tax on their international earnings, regardless of the jurisdictions in which they operate, aims to curb aggressive tax avoidance practices that exploit low-tax countries. For U.S. firms, adapting to this new tax regime will involve navigating complex compliance requirements & potentially reshaping their operations, financial strategies, and corporate structures. Adjusting to the global minimum tax will likely involve revisiting tax planning practices, considering changes in how and where profits are allocated, and dealing with new reporting obligations that vary by jurisdiction. While this adjustment may be challenging, it offers opportunities to simplify and standardize tax processes across borders, creating a more predictable and transparent tax environment. By reducing discrepancies between different jurisdictions’ tax rates, the global minimum tax could lead to greater fairness in international taxation, levelling the playing field for U.S. companies operating internationally. Furthermore, companies that align their tax practices with the new global standards may enhance their corporate reputation, showcasing a commitment to responsible tax practices in a world increasingly focused on fairness and transparency. For U.S. multinationals, this alignment could also lead to more streamlined reporting, fewer barriers to cross-border investment, & a simplified approach to compliance, reducing the administrative burden associated with managing multiple tax regimes. However, the global minimum tax will likely require companies to adapt their business models to stay competitive, potentially resulting in shifts in investment strategies and operational locations to optimize tax outcomes. The overall effect of the global minimum tax on U.S. multinationals will depend on how well they manage these challenges and leverage the opportunities for improved tax efficiency and reputation. As firms navigate this new tax landscape, they must balance compliance with the desire to maintain profitability and growth, all while adjusting to a more harmonized global tax environment.

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References

Sharman, J. C. (2006). Havens in a storm: The struggle for global tax regulation. Cornell University Press.

Avi-Yonah, R. S. (1995). Structure of International Taxation: a proposal for simplification. Tex. L. Rev., 74, 1301.

Mascagni, G., Moore, M., & McCluskey, R. (2014). Tax revenue mobilisation in developing countries: Issues and challenges. European Union (Belgium).

Sheu, C., Chae, B., & Yang, C. L. (2004). National differences and ERP implementation: issues and challenges. Omega, 32(5), 361-371.

Weissbrodt, D., & Kruger, M. (2003). Norms on the responsibilities of transnational corporations and other business enterprises with regard to human rights. American journal of international law, 97(4), 901-922.

Avi-Yonah, R. S., Clausing, K. A., & Durst, M. C. (2008). Allocating business profits for tax purposes: A proposal to adopt a formulary profit split. Fla. Tax Rev., 9, 497.

Liu, Y., Lee, J. M., & Lee, C. (2020). The challenges and opportunities of a global health crisis: the management and business implications of COVID-19 from an Asian perspective. Asian Business & Management, 19(3), 277.

Gereffi, G., Frederick, S., & Gereffi, G. (2010). The global apparel value chain, trade and the crisis: challenges and opportunities for developing countries.

Devereux, M. P., & Vella, J. (2018). Debate: implications of digitalization for international corporate tax reform. Intertax, 46(6/7).

Kuznetsov, Y. N., & Dahlman, C. J. (2008). Mexico's transition to a knowledge-based economy: Challenges and opportunities.

Brauner, Y. (2014). What the BEPS?. Fla. Tax Rev., 16, 55.

Radebaugh, L. H., Gray, S. J., & Black, E. L. (2006). International accounting and multinational enterprises. John Wiley & Sons.

Kanter, R. M. (1992). Challenge of organizational change: How companies experience it and leaders guide it. Simon and Schuster.

Deresky, H. (2000). International management: Managing across borders and cultures. Pearson Education India.

Brown, D., & Wilson, S. (2007). The black books of outsourcing: How to manage the changes, challenges, and opportunities.

Thumburu, S. K. R. (2023). Mitigating Risk in EDI Projects: A Framework for Architects. Innovative Computer Sciences Journal, 9(1).

Thumburu, S. K. R. (2023). The Future of EDI in Supply Chain: Trends and Predictions. Journal of Innovative Technologies, 6(1).

Gade, K. R. (2023). Data Lineage: Tracing Data's Journey from Source to Insight. MZ Computing Journal, 4(2).

Gade, K. R. (2023). Security First, Speed Second: Mitigating Risks in Data Cloud Migration Projects. Innovative Engineering Sciences Journal, 3(1).

Katari, A., & Rodwal, A. NEXT-GENERATION ETL IN FINTECH: LEVERAGING AI AND ML FOR INTELLIGENT DATA TRANSFORMATION.

Katari, A. Case Studies of Data Mesh Adoption in Fintech: Lessons Learned-Present Case Studies of Financial Institutions.

Komandla, V. Crafting a Clear Path: Utilizing Tools and Software for Effective Roadmap Visualization.

Thumburu, S. K. R. (2022). Scalable EDI Solutions: Best Practices for Large Enterprises. Innovative Engineering Sciences Journal, 2(1).

Thumburu, S. K. R. (2022). Data Integration Strategies in Hybrid Cloud Environments. Innovative Computer Sciences Journal, 8(1).

Gade, K. R. (2022). Cloud-Native Architecture: Security Challenges and Best Practices in Cloud-Native Environments. Journal of Computing and Information Technology, 2(1).

Boda, V. V. R., & Immaneni, J. (2024). Keeping Healthcare Running Smoothly: How SRE is Changing the Game. Innovative Computer Sciences Journal, 10(1).

Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2024). Impact of SSL/TLS Encryption on Network Performance and How to Optimize It. Innovative Computer Sciences Journal, 10(1).

Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2024). Building Cross-Organizational Data Governance Models for Collaborative Analytics. MZ Computing Journal, 5(1).

Boda, V. V. R., & Immaneni, J. (2022). Optimizing CI/CD in Healthcare: Tried and True Techniques. Innovative Computer Sciences Journal, 8(1).

Immaneni, J. (2022). End-to-End MLOps in Financial Services: Resilient Machine Learning with Kubernetes. Journal of Computational Innovation, 2(1).

Muneer Ahmed Salamkar. Feature Engineering: Using AI Techniques for Automated Feature Extraction and Selection in Large Datasets. Journal of Artificial Intelligence Research and Applications, vol. 3, no. 2, Dec. 2023, pp. 1130-48

Muneer Ahmed Salamkar. Data Visualization: AI-Enhanced Visualization Tools to Better Interpret Complex Data Patterns. Journal of Bioinformatics and Artificial Intelligence, vol. 4, no. 1, Feb. 2024, pp. 204-26

Muneer Ahmed Salamkar, and Jayaram Immaneni. Data Governance: AI Applications in Ensuring Compliance and Data Quality Standards. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, May 2024, pp. 158-83

Muneer Ahmed Salamkar. Collaborative Data Engineering: Utilizing ML to Facilitate Better Collaboration Among Data Engineers, Analysts, and Scientists. Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, Aug. 2024, pp. 147-69

Naresh Dulam, et al. “GPT-4 and Beyond: The Role of Generative AI in Data Engineering”. Journal of Bioinformatics and Artificial Intelligence, vol. 4, no. 1, Feb. 2024, pp. 227-49

Naresh Dulam, and Madhu Ankam. “Kubernetes 1.30: Enabling Large-Scale AI and Machine Learning Pipelines ”. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, Sept. 2024, pp. 185-08

Naresh Dulam, and Karthik Allam. “Data Lakehouses: Merging Real-Time Analytics and Big Data Processing”. Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, Aug. 2024, pp. 170-93

Naresh Dulam, et al. “Foundation Models: The New AI Paradigm for Big Data Analytics ”. Journal of AI-Assisted Scientific Discovery, vol. 3, no. 2, Oct. 2023, pp. 639-64

Sarbaree Mishra, and Jeevan Manda. “Improving Real-Time Analytics through the Internet of Things and Data Processing at the Network Edge ”. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 1, Apr. 2024, pp. 184-06

Sarbaree Mishra. “Cross Modal AI Model Training to Increase Scope and Build More Comprehensive and Robust Models. ”. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, July 2024, pp. 258-80

Sarbaree Mishra, et al. “Building More Efficient AI Models through Unsupervised Representation Learning ”. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, Sept. 2024, pp. 233-57

Sarbaree Mishra, and Sairamesh Konidala. “A Polyglot Data Integration Framework for Seamless Integration of Heterogenous Data Sources and Formats ”. Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, Nov. 2024, pp. 209-32

Babulal Shaik. Automating Compliance in Amazon EKS Clusters With Custom Policies . Journal of Artificial Intelligence Research and Applications, vol. 1, no. 1, Jan. 2021, pp. 587-10

Babulal Shaik. Developing Predictive Autoscaling Algorithms for Variable Traffic Patterns . Journal of Bioinformatics and Artificial Intelligence, vol. 1, no. 2, July 2021, pp. 71-90

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Published

28-12-2024

How to Cite

[1]
Piyushkumar Patel and Hetal Patel, “Global Minimum Tax Implementation: Challenges and Opportunities for US Multinationals”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 194–213, Dec. 2024, Accessed: Jan. 05, 2025. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/224

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