This article presents a bibliometric analysis of artificial intelligence (AI) in teaching, focusing on scientific publications from 2018 to 2023 in Scopus and Web of Science. The study aims to analyze trends, collaboration patterns, and key research areas in AI applications within education. The results show a significant increase in scientific production over the past five years, with China, the USA, and the UK being the most productive countries. The most cited countries are also China, the USA, and the UK, with China having the most significant impact. The most cited articles discuss the use of ChatGPT and generative AI in education, the role of educators in AI applications, and the challenges and implications of AI in teaching. Collaboration patterns reveal that some research teams work in isolation, while others demonstrate strong international collaboration. Key research areas include AI, machine learning, deep learning, ChatGPT, learning analytics, and virtual reality. Emerging trends highlight the growing importance of AI in education, with a focus on its potential to transform teaching and learning practices. The study also identifies gaps in research, such as the impact of AI on emotional intelligence, student creativity, and educational equity. The findings suggest that AI in teaching is a rapidly evolving field with significant implications for education, requiring ongoing research, collaboration, and ethical considerations. The study underscores the need for further research to address these gaps and to fully understand the potential of AI in education.This article presents a bibliometric analysis of artificial intelligence (AI) in teaching, focusing on scientific publications from 2018 to 2023 in Scopus and Web of Science. The study aims to analyze trends, collaboration patterns, and key research areas in AI applications within education. The results show a significant increase in scientific production over the past five years, with China, the USA, and the UK being the most productive countries. The most cited countries are also China, the USA, and the UK, with China having the most significant impact. The most cited articles discuss the use of ChatGPT and generative AI in education, the role of educators in AI applications, and the challenges and implications of AI in teaching. Collaboration patterns reveal that some research teams work in isolation, while others demonstrate strong international collaboration. Key research areas include AI, machine learning, deep learning, ChatGPT, learning analytics, and virtual reality. Emerging trends highlight the growing importance of AI in education, with a focus on its potential to transform teaching and learning practices. The study also identifies gaps in research, such as the impact of AI on emotional intelligence, student creativity, and educational equity. The findings suggest that AI in teaching is a rapidly evolving field with significant implications for education, requiring ongoing research, collaboration, and ethical considerations. The study underscores the need for further research to address these gaps and to fully understand the potential of AI in education.