The Post-method teacher in the artificial intelligence age: adapting, collaborating, evolving

The landscape of language education is shifting dramatically, driven by the burgeoning presence of artificial intelligence (AI). Technology today is available everywhere and incorporated into many aspects of our lives at an impressive speed. In this dynamic context, the post-method teacher emerges as a vital figure, not just delivering instruction, but actively adapting, collaborating, and evolving alongside AI tools. This paper delves into the intricate dance between human expertise and machine intelligence, exploring how post-method teachers can harness the power of AI to personalize learning, and augment reality. Post-method teachers can create dynamic and personalized learning experiences that prepare students for success in the AI-driven future. This research was applied as a sample to 25 English professors from the Technical State University of Quevedo-Ecuador. Qualitative and quantitative methods were applied with the survey as a research instrument. The data was analyzed and interpreted using a descriptive approach. The findings of the study showed that all the participants had a satisfactory understanding level of post-method pedagogy, however not all of them were confident in their ability to use AI. This paper invites us to envision a future where AI and human expertise synergistically enhance language learning, empowering post-method teachers to not just adapt, but actively shape the evolution of education in the AI age.