Publications

Journal Articles


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

Paper | Preprint | Slides | Code

Working Papers


AI and the Composition of Labor Demand: Evidence from Online Job Postings

Published in Working Paper, 2026

Examines where the post-2022 contraction in labor demand fell in relation to occupational AI exposure, using online job postings across the European Union from 2021 to 2025. Since the release of ChatGPT, postings for the most AI-exposed occupations have declined by 19–29% relative to the least exposed ones, or 4–7% per standard deviation of exposure.

Recommended citation: Demirev, G. (2026). "AI and the Composition of Labor Demand: Evidence from Online Job Postings." Working paper, SSRN 7054839.

Preprint | Slides | Code | Dashboard