Abstract Artificial intelligence (AI) has been increasingly influencing both the general public and scientific research, yet its adoption in agricultural sciences remains unclear. While recent reviews suggest that AI has already permeated agricultural research, no systematic study has examined this phenomenon. This study employs a bibliometric analysis to assess AI‐related publication trends using metadata from 14 agricultural and applied biology journals, along with a reference methodological journal ( Computers and Electronics in Agriculture ), covering the period from 2010 to 2023. The findings reveal a significant rise in AI‐related studies in methodological quantitative research for agricultural sciences, with over 60% of recent articles in Computers and Electronics in Agriculture incorporating AI. This trend, however, has not yet extended to applied agricultural research, where AI‐related publications remain a small fraction of the total output. These results indicate that while AI is transforming methodological studies related to data science for agriculture, its broader adoption in applied agricultural research is still in its early stages.