AI in the Humanities: Productivity Boon or Skill Erosion?

The integration of generative artificial intelligence into doctoral workflows is transforming how Social Science and Humanities (SSH) research is conducted. From drafting literature reviews to coding qualitative data, AI tools are significantly boosting productivity. A recent analysis on the use of generative AI by PhD students highlights that these technologies allow researchers to organize and execute complex tasks with unprecedented speed. However, this technological shift is not without controversy. Many senior academics fear that over-reliance on AI could erode the very critical thinking and deep analytical skills that a doctorate is intended to build. As noted in Nature, the question remains whether AI is a 'friend or foe' to the developing scholar. In the SSH fields, where the nuance of language and the depth of interpretation are paramount, the risk of 'hallucinations' or biased algorithmic outputs poses a threat to research integrity. Despite these concerns, the trend is irreversible. Universities are now tasked with developing new policies that encourage the ethical use of AI while ensuring that the core competencies of human-led research remain intact. For the 2026 cohort, mastering these tools while maintaining intellectual independence has become the new doctoral standard.