AI product innovation and occupational exposure: automation and augmentation in commercial AI deployments
Published in Industry and Innovation, 2026
A measure of how exposed each occupation is to disruption by AI, derived from public press releases on new AI product launches using a fine-tuned classifier and an LLM to extract product capabilities, and matching these to ESCO job skills. Knowledge-heavy, highly-skilled occupations rank most exposed, and the score is decomposed into automation and augmentation components.
Recommended citation: Demirev, G. (2026). "AI product innovation and occupational exposure: automation and augmentation in commercial AI deployments." Industry and Innovation, 1–30. https://doi.org/10.1080/13662716.2026.2623903
