{"version":1,"type":"story","url":"https://digestai.news/story/phd-students-using-ai-in-dissertations-less-likely-to-enter-academia","json":"https://digestai.news/story/phd-students-using-ai-in-dissertations-less-likely-to-enter-academia.json","markdown":"https://digestai.news/story/phd-students-using-ai-in-dissertations-less-likely-to-enter-academia.md","slug":"phd-students-using-ai-in-dissertations-less-likely-to-enter-academia","headline":"PhD students using AI in dissertations less likely to enter academia","summary":"A working paper reviewed 226,000 STEM doctoral dissertations completed between January 2019 and May 2026 in the United States. Roughly 30 % of these dissertations contained AI‑generated text, according to the study. AI use first appeared in 2023, rising from 1.7 % that year to 18.8 % in 2025 and reaching 29.4 % in the first five months of 2026. The practice was most common in mathematics and computer science, where 36 % of abstracts were written with AI.\n\nThe paper also examined career outcomes of graduates. Those with AI‑generated abstracts were 17 % less likely to be employed in academia and 16 % more likely to work in industry compared with peers who did not use AI. The effect was weaker for graduates who completed their undergraduate studies outside the United States. Researchers from the National Bureau of Economic Research raised questions about whether heavy reliance on AI compromises the depth of scientific understanding.\n\nThe study used the Pangram AI‑detection service, which flagged 90 % of the AI‑generated abstracts as entirely AI‑written. The paper has not yet been peer reviewed.","keyPoints":["30 % of STEM dissertations in the US contained AI‑generated text this year","AI use in abstracts rose from 1.7 % in 2023 to 18.8 % in 2025, reaching 29.4 % in early 2026","Graduates with AI‑generated abstracts were 17 % less likely to work in academia and 16 % more likely in industry"],"whyItMatters":"The findings suggest AI tools are reshaping PhD training and career trajectories, raising concerns about research depth and the future talent pipeline in academia versus industry. Understanding this shift can inform policy, university guidelines, and hiring practices.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["National Bureau of Economic Research","Pangram"],"models":[],"people":["Daniel Gross","Ang Liu"]},"firstPublishedAt":"2026-10-16T00:00:00Z","updatedAt":"2026-10-16T00:00:00Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"Nature Machine Learning","title":"PhD students who write dissertation with AI less likely to stay in academia","url":"https://nature.com/articles/d41586-026-03253-2","publishedAt":"2026-10-16T00:00:00Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"PhD students using AI in dissertations less likely to enter academia\", 16 October 2026, https://digestai.news/story/phd-students-using-ai-in-dissertations-less-likely-to-enter-academia","publisher":"Digest AI","title":"PhD students using AI in dissertations less likely to enter academia","datePublished":"2026-10-16T00:00:00Z","url":"https://digestai.news/story/phd-students-using-ai-in-dissertations-less-likely-to-enter-academia"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}