The article argues that hiring more humanists, who are trained in literature, philosophy, ethics, classics, history, culture, language, linguistics, and writing, can lead to more effective AI and data science. Data humanists are able to mix data fluency with these humanist skills and bring a different perspective to data science. They tend to ask what's missing, embrace ambiguity and seek blurry boundaries and interpretation, which can lead to more insights and understanding of the data.