AI-assisted Interpreting: Valuable Tool for Professional Interpreters or Job Displacement?

Today, Artificial Intelligence (AI) has permeated across diverse disciplines, professional sectors, and recreational activities. Translation and interpreting are two sectors in which AI is becoming increasingly important. With more and more companies incorporating AI into their means of production or services, it is common for many language professionals to wonder whether their job will one day be replaced by a machine. This question has been a relevant issue since the 18th Century with the contributions of philosophers and scientists, who anticipated notions of computer science. However, in recent years, the concern about the future of professional interpreters has come up again due to the advances in AI. In light of the growing controversy and concern surrounding computer-assisted interpreting (CAI) and translation (CAT), this study aims to verify the reliability of AI applications in interpreting, focusing particularly on the positive and negative aspects of AI use in communicative language exchanges. Our specific purpose is to demonstrate that human interpreters will continue to deliver high-quality work that is tailored to the socio-cultural context of those involved in the communication process. To this end, the study explores recent developments in AI-driven interpreting technologies, such as neural machine translation (NMT) engines and real-time speech recognition systems, assessing their effectiveness in comparison with human interpreters. Employing both qualitative and quantitative methodology —such as case studies and user Through qualitative and quantitative analysis, including case studies and user feedback— the research identifies significant limitations of AI systems, particularly in managing complex discourse, cultural references, nuances, and emotional intelligence. Furthermore, it considers ethical challenges regarding data privacy, user trust, and accountability. The results show that although AI can provide useful assistance in specific contexts—particularly for routine or low-risk interactions—it falls short in cultural sensitivity and register adaptability; scenarios charged with high-risk consequences, and emotionally attached. Ultimately, the study concludes that AI is unlikely to replace professional interpreters, but rather will serve as a complementary instrument that supports and enhances human expertise in the field.