A influência da Inteligência Artificial (IA) na transição energética rumo a uma economia digital sustentável:

uma análise comparativa entre Brasil e Uruguai

Abstract

This study analyzes the energy transition in Brazil and Uruguay in the context of the digital economy and the growing use of artificial intelligence (AI), which are driving demand for renewable sources. It investigates how each country is adapting to meet the demands of data centers and digital infrastructures in a sustainable way. The objective is to analyze the influence of the integration of AI technologies on the energy transition towards a sustainable digital economy, comparing incentive policies, investments in infrastructure and specific challenges to maintain a renewable matrix that supports the digital sector. To this end, a descriptive causal comparative approach was used, with a bibliographic and documentary review of national energy transition policies and the use of AI in the energy sector. The results suggest that while Uruguay has made rapid progress in the energy transition and is proving to be more efficient, Brazil, due to its scale and diversification of sources, has great potential for expansion, especially in the green hydrogen sector. The conclusion is that Uruguay is integrating AI more effectively into its renewable energy systems than Brazil, due to consolidated investments and a robust regulatory environment, while Brazil's potential is limited by logistical and political challenges.

Keywords: Energy Transition; Artificial Intelligence; Sustainability; Digital Economy.