The main objective of this paper is to analyze, for Morocco, the COVID-19 impact on economic growth and its subsequent recovery. Therefore, we conduct a predictive approach using a Recurrent Neural Network (RNN) as a deep learning model, applied to Moroccan economic growth data spanning the period from Q1 1996 to Q4 2023. The developed model accurately forecasts Morocco’s GDP, demonstrating high performance across metrics such as MSE, RMSE and MAE. Our approach provides a clearer estimate of the economic impact of COVID-19 and the path to recovery. The results align closely with the Moroccan economic context, providing a reliable outlook on the country’s economic trajectory.