Static AI exposure scores have temporal, geographic and ontological limits that compound in policy use, creating a structural gap and a research-policy coordination gap that better measurement alone will not close.
AI exposure predicts unemployment risk: A new approach to technology-driven job loss
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
support 1representative citing papers
Job postings data shows a sharp post-2021 rise in generative AI competencies such as prompt engineering and model validation, a drop in routine skills, and forecasts of continued growth in AI and soft skills through 2025.
citing papers explorer
-
AI Exposure Scores: what they measure, what they miss, and what comes next
Static AI exposure scores have temporal, geographic and ontological limits that compound in policy use, creating a structural gap and a research-policy coordination gap that better measurement alone will not close.
-
Generative-AI and the transformation of workforce. A job postings-driven analysis
Job postings data shows a sharp post-2021 rise in generative AI competencies such as prompt engineering and model validation, a drop in routine skills, and forecasts of continued growth in AI and soft skills through 2025.