ai-exposure

Türkiye iş gücü piyasasındaki 117 mesleğin yapay zeka maruziyetini analiz eden interaktif treemap. Karpathy'nin AI Jobs projesinin Türkiye adaptasyonu.

Text-based measurement of AI investment and labor demand using 120K+ LinkedIn job postings. Combines NLP embedding models with econometric analysis (OLS, Negative Binomial) to examine how AI exposure relates to wages and job engagement. Framework for scalable, real-time AI intensity measurement.

Evidence-driven AI career stress test skill: task-level AI exposure analysis, 3 AI scenarios, career transition paths, country adapters. Agent Skills spec compliant, bilingual zh/en.

Computational Economics: O*NET 27.3 → AI Automation Exposure Modeling. 3,040 tasks across 80 Management/Entrepreneurship occupations with 12 ML features (AI_Risk_Score, Future_Proof_Score). Labor economics research → production datasets for sklearn/XGBoost. 62% management jobs HIGH AI vulnerability.

NLP-based AI exposure mapping for Chinese listed companies from job data

A measurement-clock audit of O*NET AI-exposure scores, with code, public results, and an end-to-end agent-assisted research workflow.

Интерактивная визуализация влияния ИИ на рынок труда США. Форк с русской локализацией и системой фильтрации данных.

Privacy suppression makes the Anthropic Economic Index automation–augmentation measure partially identified. Only 42 of 775 occupations are usably identified.

Interactive treemap of Philippine occupations, wages, employment, and generative-AI exposure.

Singapore AI Job Exposure Index — 570 occupations scored by Claude AI against MOM 2024 wage data. SSOC 2024 aligned. Bilingual EN/中文. Public-interest, open methodology.

Scrapes O*NET STEM occupations into a job → task → subtask dataset, scores it for automation exposure, and validates that against human expert ratings (r=0.85).