Abstract
Artificial intelligence is changing our world and will change it ever more profoundly in the future. As a result, numerous areas of work are also changing, professions and jobs are disappearing, while others must change and adapt to survive. These transformations also affect the translation market and the work of translators. Machine translation (MT) transfers entire texts from one language to another in a matter of seconds, enabling communication on a scale and at a speed that could never have been dreamed of in the past. However, these MT systems have been around for over 70 years and are still not able to deliver the perfect translation or make human translators superfluous. So how should aspiring translators deal with these technologies, how should they use them to make their work more efficient and therefore more profitable?
These are questions that we, as trainers of these future translators, should address in our teaching in order to prepare our students for the labour market of the 21st century. This article wishes to discuss some theoretical aspects of MT to address some concrete elements that I believe could and should be introduced into translation courses and that are intended to stimulate discussion and reflection.