Abstract : This study aims to investigate the relationship between nuclear energy consumption and economicgrowth in Switzerland over the period 1970–2018. We use data on capital, labour, and exportswithin a multivariate framework. Starting from the consideration that Switzerland has decided tophase out nuclear energy by 2034, we examine the effect of this structural economic-energy changein the country. To do so, two distinct estimation tools are performed. The first model, using atime-series approach, analyze the relationship between bivariate and multivariate causality. Thesecond, using a Machine Learning methodology, test the results of the econometric modellingthrough an Artificial Neural Networks process. This last empirical procedure represents ouroriginal contribution with respect to the previous energy-GDP papers. The results, in thelogarithmic propagation of neural networks, suggest a careful analysis of the process that will leadto the abandonment of nuclear energy in Switzerland to avoid adverse effects on economic growth.