In conclusion, ML applications in organic chemistry are constantly evolving and greatly accelerating research. Moreover, this interdisciplinary field is playing a central role in changing the way of not only organic chemistry but how chemistry is done. As cutting-edge ML tools and algorithms such as tensors, natural language processing, and transformers become mature and reliable by chemists, ML will be a routine analysis in a chemistry laboratory like any other technique or equipment.