ESMA utilizará la IA para fortalecer la supervisión

The European Securities and Markets Authority (ESMA) is embracing artificial intelligence (AI) and advanced data analysis to bolster its financial supervisory processes, as highlighted in its annual report focusing on priorities for 2027. In a rapidly evolving technological landscape, the regulatory body reaffirms its commitment to protecting retail investors and reducing unnecessary administrative burdens in European markets.

As part of its model evolution, ESMA plans to strengthen analytical capabilities through the development of its data platform and integration of AI tools to support supervisory tasks. Moreover, the institution is exploring automation and AI applications to optimize the Interactive Single Rulebook, simplifying access and understanding of the European regulatory framework for all market participants.

Concurrently, ESMA will closely monitor the impact of AI on financial markets, cybersecurity, cryptocurrencies, and tokenization (see attached information). With technological transformations and the environment's complexity, ESMA's President Verena Ross emphasizes that the entity will prioritize strengthening the Single Market, protecting investors, and maintaining financial stability.

Within this direction, ESMA will continue to support the implementation of the Retail Investor Strategy and promote clear and comprehensible information for users. The organization aims to simplify disclosure requirements and suitability assessments under MiFid II, using digital tools to combat information overload without compromising protective guarantees.

ESMA's plan promotes a risk-based supervision, concentrating resources on high-impact areas and tailoring supervision intensity to each entity's profile. The aim is to increase system efficiency and eliminate unnecessary steps. Tokenization is seen as an opportunity, as ESMA aims to simplify crypto asset regulation and reduce bureaucratic hurdles for financial entities while facilitating the tracking of tokenized financial assets through a centralized information system.