On 27 October 2026, the United Arab Emirates Federal Tax Authority (FTA) showcased its pioneering experience in expanding smart tax systems at the Belt and Road Initiative Tax Administration Cooperation Forum held in Abu Dhabi. His Excellency Abdulaziz Mohammed Al Mulla, Director General of the FTA and Vice-Chair of the forum, delivered a keynote address outlining the Authority’s digital transformation journey, emphasizing the integration of artificial intelligence, blockchain, and real-time data analytics into tax administration. The event brought together tax authorities from over 30 Belt and Road partner countries to exchange best practices on digital tax compliance, cross-border information sharing, and capacity building. The FTA’s presentation highlighted the successful deployment of the EmaraTax platform, the UAE’s e-invoicing mandate, and the use of AI-driven risk assessment models that have significantly improved compliance rates and reduced administrative burdens. This participation underscores the UAE’s commitment to leading global tax digitalization efforts and fostering international cooperation under the Belt and Road framework. The forum also featured technical workshops on interoperable data standards, joint audit methodologies, and the role of distributed ledger technology in securing cross-border tax data exchanges. The FTA’s leadership in these areas positions the UAE as a model for tax administrations seeking to modernize while maintaining regulatory rigor.
Key Takeaways
- Digital Tax Leadership: The FTA demonstrated how its smart tax ecosystem, including the EmaraTax portal and mandatory e-invoicing, serves as a benchmark for tax administrations seeking to modernize operations and enhance transparency.
- Cross-Border Collaboration: The forum facilitated agreements on mutual assistance in tax matters, joint capacity-building programs, and the development of standardized digital interfaces for seamless data exchange among Belt and Road economies.
- AI-Driven Compliance: The Authority’s adoption of machine learning algorithms for real-time risk profiling and automated audit selection has increased detection of non-compliance by 35% while reducing manual intervention, offering a scalable model for other jurisdictions.
Disclaimer: This article is compiled and summarized by the AI based on publicly available information and is for general information purposes only. It does not constitute any form of formal tax advice, legal opinion, or basis for performance. Please consult a qualified professional tax advisor or legal counsel for tax advice.
Source: Read Official Announcement